This landmark work traces the heritage of thought, from the beginnings of modern science in the seventeenth century, until today, that has influenced the profession of library and informationscience.
Genes are often described by biologists using metaphors derived from computa- tional science: they are thought of as carriers of information, as being the equivalent of ‘‘blueprints’’ for the construction of organisms. Likewise, cells are often characterized as ‘‘factories’’ and organisms themselves become analogous to machines. Accordingly, when the human genome project was initially announced, the promise was that we would soon know how a human being is made, just as we know how to make airplanes and buildings. (...) Impor- tantly, modern proponents of Intelligent Design, the latest version of creationism, have exploited biologists’ use of the language of information and blueprints to make their spurious case, based on pseudoscientific concepts such as ‘‘irreducible complexity’’ and on flawed analogies between living cells and mechanical factories. However, the living organ- ism = machine analogy was criticized already by David Hume in his Dialogues Concerning Natural Religion. In line with Hume’s criticism, over the past several years a more nuanced and accurate understanding of what genes are and how they operate has emerged, ironically in part from the work of computational scientists who take biology, and in particular developmental biology, more seriously than some biologists seem to do. In this article we connect Hume’s original criticism of the living organism = machine analogy with the modern ID movement, and illustrate how the use of misleading and outdated metaphors in science can play into the hands of pseudoscientists. Thus, we argue that dropping the blueprint and similar metaphors will improve both the science of biology and its understanding by the general public. (shrink)
"This work is a valuable casebook, specifically for library and informationscience professionals, that presents numerous case studies that combine theories of ...
The Foundational Model of Anatomy (FMA) is a map of the human body. Like maps of other sorts – including the map-like representations we find in familiar anatomical atlases – it is a representation of a certain portion of spatial reality as it exists at a certain (idealized) instant of time. But unlike other maps, the FMA comes in the form of a sophisticated ontology of its objectdomain, comprising some 1.5 million statements of anatomical relations among some 70,000 anatomical kinds. (...) It is further distinguished from other maps in that it represents not some specific portion of spatial reality (say: Leeds in 1996), but rather the generalized or idealized spatial reality associated with a generalized or idealized human being at some generalized or idealized instant of time. It will be our concern in what follows to outline the approach to ontology that is represented by the FMA and to argue that it can serve as the basis for a new type of anatomical informationscience. We also draw some implications for our understanding of spatial reasoning and spatial ontologies in general. (shrink)
This paper addresses the problem of the distinction between basic science and applied science. It also explores their differences with regard to technology. For this analysis, as well as a general epistemological and methodological approach, we study a particular case: informationscience. As the emphasis of the paper is on the category of applied science, it includes a critical analysis of Philip Kitcher's proposal. First, there is an examination of Ph. Kitcher's thought, because he has (...) addressed this issue without offering a clear distinction between the various categories. I then consider the contributions of I. Niiniluoto, which determine in a more genuine way the features that distinguish applied science from basic science. Here, I focus on the ideas of H. A Simon on the science of design, to the extent that it is an applied science. This then allows us to shed light on the disciplinary field of informationscience, which is characterized as an applied science of design. This is a case that shows the need to distinguish three epistemological and methodological domains: basic science, applied science and technology. (shrink)
This paper analyses the relations between philosophy of information (PI), library and informationscience (LIS) and social epistemology (SE). In the first section, it is argued that there is a natural relation between philosophy and LIS but that SE cannot provide a satisfactory foundation for LIS. SE should rather be seen as sharing with LIS a common ground, represented by the study of information, to be investigated by a new discipline, PI. In the second section, the (...) nature of PI is outlined as the philosophical area that studies the conceptual nature of information, its dynamics and problems. In the third section, LIS is defined as a form of applied PI. The hypothesis supported is that PI should replace SE as the philosophical discipline that can best provide the conceptual foundation for LIS. In the conclusion, it is suggested that the 'identity' crisis undergone by LIS has been the natural outcome of a justified but precocious search for a philosophical counterpart that has emerged only recently: namely, PI. The development of LIS should not rely on some borrowed, pre-packaged theory. As applied PI, LIS can fruitfully contribute to the growth of basic theoretical research in PI itself and thus provide its own foundation. (shrink)
Social InformationScience (or Social Informatics) is a new and interdiscipline branch subject in China. This paper probe the emergence and the research outline of social informationscience. 1. The proposal of the social informationscience. We set up the research from an extension from the theoretical informatics to the concrete informatics; a internal bond of integrating various subjects in humane and social sciences; an intersection and mutual permeation between the social science and (...) the natural science; a the intersection and interaction among humane and social sciences, modern informationscience and information technology; a strengthening to the research into Social Epistemology. Ⅱ. On the concept of social information. Social information directly is different with selfexistent and natural information, and more related to human’s autonomous creative activities, to society’s culture inheritance, to social value, to human’s spiritual interaction and to human’s emotions. Ⅲ.On the theoretical orientation of the social informationscience. Social InformationScience is a concrete branch of informatics, a generation of sub-disciplines of social information, a kind of traversing and comprehensive research on individual social science from the angle of information, a kind of exchange and interaction between social theoretical research and the modern information technology. Ⅳ. The research focus of the social informationscience. The paper lists 10 main focus in the research of social informationscience. Ⅴ.The system and frame of the social informationscience. In general, there should be four levels of researches if the social informationscience is to be viewed as a relatively independent subject: the philosophical level, the scientific theoretical level, concrete apply level, social information technology and methods. (shrink)
As an answer to the humanistic, socially oriented critique of the information-processing paradigms used as a conceptual frame for library informationscience, this article formulates a broader and less objective concept of communication than that of the information-processing paradigm. Knowledge can be seen as the mental phenomenon that documents (combining signs into text, depending on the state of knowledge of the recipient) can cause through interpretation. The examination of these “correct circumstances” is an important part of (...)informationscience. This article represents the following developments in the concept of information: Information is understood as potential until somebody interprets it. The objective carriers of potential knowledge are signs. Signs need interpretation to release knowledge in the form of interpretants. Interpretation is based on the total semantic network, horizons, worldviews, and experience of the person, including the emotional and social aspects. The realm of meaning is rooted in social-historical as well as embodied evolutionary processes that go beyond computational algorithmically logic. The semantic network derives a decisive aspect of signification from a person’s embodied cultural worldview, which, in turn, derives from, develops, and has its roots in undefined tacit knowledge. To theoretically encompass both the computational and the semantic aspects of document classification and retrieval, we need to combine the cybernetic functionalistic approach with the semiotic pragmatic understanding of meaning as social and embodied. For such a marriage, it is necessary to go into the constructivistic secondorder cybernetics and autopoiesis theory of von Foerster, Maturana, and Luhmann, on the one hand, and the pragmatic triadic semiotics of Peirce in the form of the embodied Biosemiotics, on the other hand. This combination is what I call Cybersemiotics. (shrink)
The book focuses on relations between information and computation. Information is a basic structure of the world, while computation is a process of the dynamic change of information. In order for anything to exist for an individual, the individual must get information on it, either by means of perception or by re-organization of the existing information into new patterns and networks in the brain. With the advent of World Wide Web and a prospect of semantic (...) web, the ways of information supply for individuals, networks of humans and machines and for humanity as a whole are becoming strategically important in a number of ways. Information becomes pivotal for communication, research, education systems, government, businesses and basic functioning of everyday life. At the same time, information may be understood only if we understand its dynamics - time changes of informational structure, that is, we should understand information processing and its primary form - computation. As there is no information without (physical) representation, the dynamics of information is implemented on different levels of granularity by different physical processes, including the level of computation performed by computing machines. There are a lot of open problems of the nature of information and computation, as well as their relationships. How exactly is information dynamics implemented in computational systems, machines as well as living organisms? Are computers processing only data or information and knowledge as well? How does information processing relate to knowledge management and sciences, especially to science of information itself? What do we know of computational processes in machines and living organisms and how these processes are related? What can we learn from natural computational processes that can be useful for information systems and knowledge management? These and similar problems related to information and computation are treated in the book. (shrink)
Science can reinforce the healthy aspects of the politics of the policy process, to identify and further the public interest by discrediting policy options serving only special interests and helping to select among “science-confident” and “hedging” options. To do so, scientists must learn how to manage and communicate the degree of uncertainty in scientific understanding and prediction, lest uncertainty be manipulated to discredit science or to justify inaction. For natural resource and environmental policy, the institutional interests of (...) government agencies, as well as private interests, pose challenges of suppression, over-simplification, or distortion of scientific information. Scientists can combat these maneuvers, but must also look inward to ensure that their own special interests do not undermine the usefulness of science. (shrink)
An attempt is made in this paper to analyze the purely formal nature of information-theoretic concepts. The suggestion follows that such concepts, used to supplement the logical and mathematical structure of the language of science, represent an addition to this language of such a sort as to allow the use of a unitary language for the description of phenomena. (The alternative to this approach must be certain multi-linguistic and mutually untranslatable descriptions of related phenomena, as with the various (...) versions of Complementarity). This conception is tested for the specific case of Heisenberg's Uncertainty Principle, in order to show that, with the assumption of a suitable and intuitively satisfactory definition of the quantity of information contained in a measurement, the Heisenberg Principle becomes an informational restriction arising from the formal properties of the symbols of a given language rather than as a "law" of nature. (shrink)
In this paper we critically review recent developments in policies, practices and philosophies pertaining to the mediation between science and the public within the EU and the UK, focusing in particular on the current paradigm of Public Understanding of Science and Technology (PEST) which seeks to depart from the scienceinformation-transmission associated with previous paradigms, and enact a deliberative democracy model. We first outline the features of the current crisis in democracy and discuss deliberative democracy as (...) a response to this crisis. We then map out and critically review the broad outlines of recent policy developments in public-science mediation in the EU and UK contexts, focusing on the shift towards the deliberative-democratic model. We conclude with some critical thoughts on the complex interrelationships between democracy, equality, science and informal pedagogies in public-science mediations. We argue that science and democracy operate within distinct value-spheres that are not necessarily consonant with each other. We also problematize the now common dismissal of information-transmission of science as inimical to democratic engagement, and argue for a reassessment of the role and importance of informal science learning for the lay public, provided within the framework of a deliberative democracy that is not reducible to consensus building or the mere expression of opinions rooted in social and cultural givens. This, we argue, can be delivered by a model of PEST that is creative and experimental, with both educational and democratic functions. (shrink)
Since the cognitive revolution, it’s become commonplace that cognition involves both computation and information processing. Is this one claim or two? Is computation the same as information processing? The two terms are often used interchangeably, but this usage masks important differences. In this paper, we distinguish information processing from computation and examine some of their mutual relations, shedding light on the role each can play in a theory of cognition. We recommend that theoristError: Illegal entry in bfrange (...) block in ToUnicode CMapError: Illegal entry in bfrange block in ToUnicode CMapError: Illegal entry in bfrange block in ToUnicode CMapError: Illegal entry in bfrange block in ToUnicode CMaps of cognition be explicit and careful in choosing 1 notions of computation and information and connecting them together. Much confusion can be avoided by doing so. Keywords: computation, information processing, computationalism, computational theory of mind, cognitivism. (shrink)
Computing is changing the traditional field of Philosophy of Science in a very profound way. First as a methodological tool, computing makes possible ``experimental Philosophy'' which is able to provide practical tests for different philosophical ideas. At the same time the ideal object of investigation of the Philosophy of Science is changing. For a long period of time the ideal science was Physics (e.g., Popper, Carnap, Kuhn, and Chalmers). Now the focus is shifting to the field of (...) Computing/Informatics. There are many good reasons for this paradigm shift, one of those being a long standing need of a new meeting between the sciences and humanities, for which the new discipline of Computing/Informatics gives innumerable possibilities. Contrary to Physics, Computing/Informatics is very much human-centered. It brings a potential for a new Renaissance, where Science and Humanities, Arts and Engineering can reach a new synthesis, so very much needed in our intellectually split culture. This paper investigates contemporary trends and the relation between the Philosophy of Science and the Philosophy of Computing and Information, which is equivalent to the present relation between Philosophy of Science and Philosophy of Physics. (shrink)
Margaret Egan and Jesse Hauk Shera's original conception of social epistemology has never been defined unambiguously, or developed significantly beyond its early formulation. An interesting consequence of this lack of conceptual clarity has been the application of several interpretations of social epistemology. This article discusses how social epistemology was linked with the ideology of apartheid, and with racially segregated library and information services in the Republic of South Africa. In a fraudulent scientific vision for librarianship, social epistemology was assigned (...) a role that violated its original purpose. The intellectual content of social epistemology needs to be articulated in order to prevent further examples of such conceptual abuse. The paper ends with an attempt to do this with some suggestions based on Shera's own seminal ideas. (shrink)
The research programme of the philosophy of information (PI) proposed in 2002 made it an independent area or discipline in philosophical research. The scientific concept of ‘information’ is formally accepted in philosophical inquiry. Hence a new and tool-driven philosophical discipline of PI with its interdisciplinary nature has been established. Philosophy of information is an ‘orientative’ rather than ‘cognitive’ philosophy. When PI is under consideration in the history of Western philosophy, it can be regarded as a shift of (...) large tradition. There are three large traditions at large, known as Platonic, Kantian and Leibniz-Russellian. In the discussion of the position of the possible worlds, we have modal Platonism and modal realism, but both of the theories are made in the framework of Western philosophy. In this essay, it is argued that possible worlds could be seen as worlds in information, which is then an interpretation of modal information theory (MIT). Our interpretation is made on the basis of Leibniz’s lifelong connection with China, a fact often overlooked by the Western philosophers. Possible world theory was influenced by the Neo-Confucianism flourishing since the Song Dynasty of China, the foundation of which is Yijing. It could be argued that Leibniz’s possible world theory was formulated in respect to the impact of the thoughts reflected in Yijing, in that one of the prominent features is the model-theoretic construction of theories. There are two approaches to theory construction, i.e., axiom-theoretic and model-theoretic. The origin of the former is from ancient Greece and the latter from ancient China. And they determined the different features of theoretic structures between the oriental and occidental traditions of science and technology. The tendency of the future development of science and technology is changing from the axiom-theoretic to the model-theoretic orientation, at least the two approaches being complementary each other. To some extent, this means the retrospective of tradition in the turning point of history, and some of the China’s cultural traditions might become the starting points in formulating the future Chinese philosophy of science and technology. (shrink)
The history of the relationship between Christian theology and the natural sciences has been conditioned by the initial decision of the masters of the "first scientific revolution" to disregard any necessary explanatory premiss to account for the constituting organization and the framing of naturally occurring entities. Not paying any attention to hierarchical control, they ended-up disseminating a vision and understanding in which it was no longer possible for a theology of nature to send questions in the direction of the experimental (...) sciences, as was done in the past between theology and many philosophically-based thought-systems. Presenting the history of some hinge-periods in the development of the Western-world sciences, this book first sets out to consider the conceptual revolution which has, in the 20th Century, related consciousness, physical laws and levels of organization, in order to show that a new chance existed then for theology. This discourse was invited to revise its language to open it up to the quest for meaning which we find on the periphery of the project of the experimental sciences. The Century-old reflection on the foundations of probability had prepared the ground for the introduction of the concept of information, at first linked to an effort aimed at maximizing the efficiency of electromagnetic communications. Taking the full measure of the questions that information theory poses to the biological sciences, this work attempts to identify the areas of convergence setting the stage for general systems theory, while it also tries to identify the insufficiencies of this recent vision and to highlight the questions left unanswered. Re-reading some of the traditional proofs of God's existence from the order of the world, relying on some pioneering insights of Ludwig von Bertalanffy and Norbert Wiener, the author brings those proofs and insights in contact with the fascinating initial project of cybernetics and the elements of a "mythical" nature which, from its inception, it could never entirely eliminate. This book ends with the confrontation between the conceptually most extended regulation factors in the history of Western thought. It articulates the poetic utopia concerned with an immediate grasp of the world in its "deictic" character with the concurrent one aimed at the domination over matter and energy expressed by technology's driving rational utopia. (shrink)
Do psychologists and computer/cognitive scientists mean the same thing by the term `information'? In this essay, I answer this question by comparing information as understood by Gibsonian, ecological psychologists with information as understood in Barwise and Perry's situation semantics. I argue that, with suitable massaging, these views of information can be brought into line. I end by discussing some issues in (the philosophy of) cognitive science and artificial intelligence.
Machine generated contents note: 1. Introduction: does information matter?; Paul Davies and Niels Henrik Gregersen; Part I. History: 2. From matter to materialism ... and (almost) back Ernan McMullin; 3. Unsolved dilemmas: the concept of matter in the history of philosophy and in contemporary physics Philip Clayton; Part II. Physics: 4. Universe from bit Paul Davies; 5. The computational universe Seth Lloyd; 6. Minds and values in the quantum universe Henry Pierce Stapp; Part III. Biology: 7. The concept of (...)information in biology John Maynard Smith; 8. Levels of information: Shannon-Bolzmann-Darwin Terrence W. Deacon; 9. Information and communication in living matter Bernd-Olaf Küppers; 10. Semiotic freedom: an emerging force Jesper Hoffmeyer; 11. Care on earth: generating informed concern Holmes Rolston; Part IV. Philosophy and Theology: 12. The sciences of complexity - a new theological resource? Arthur Peacocke; 13. God as the ultimate informational principle Keith Ward; 14. Information, theology and the universe John F. Haught; 15. God, matter, and information: towards a Stoicizing Logos christology Niels Henrik Gregersen; 16. What is the 'spiritual body'? Michael Welker; Index. (shrink)
A classic source for understanding the connections between information theory and physics, this text was written by one of the giants of 20th-century physics and is appropriate for upper-level undergraduates and graduate students. Topics include the principles of coding, coding problems and solutions, the analysis of signals, a summary of thermodynamics, thermal agitation and Brownian motion, and thermal noise in an electric circuit. A discussion of the negentropy principle of information introduces the author's renowned examination of Maxwell's demon. (...) Concluding chapters explore the associations between information theory, the uncertainty principle, and physical limits of observation, in addition to problems related to computing, organizing information, and inevitable errors. 1962 ed. 81 figures. 14 tables. (shrink)
Two hundred and sixty-three subjects each gave examples for one of five geographic categories: geographic features, geographic objects, geographic concepts, something geographic, and something that could be portrayed on a map. The frequencies of various responses were significantly different, indicating that the basic ontological terms feature, object, etc., are not interchangeable but carry different meanings when combined with adjectives indicating geographic or mappable. For all of the test phrases involving geographic, responses were predominantly natural features such as mountain, river, lake, (...) ocean, hill. Artificial geographic features such as town and city were listed hardly at all for geographic categories, an outcome that contrasts sharply with the disciplinary self-understanding of academic geography. However, geographic artifacts and fiat objects, such as roads, cities, boundaries, countries, and states, were frequently listed by the subjects responding to the phrase something that could be portrayed on a map. In this paper, we present the results of these experiments in visual form, and provide interpretations and implications for further research. (shrink)
It is common in cognitive science to equate computation (and in particular digital computation) with information processing. Yet, it is hard to find a comprehensive explicit account of concrete digital computation in information processing terms. An information processing account seems like a natural candidate to explain digital computation. But when ‘information’ comes under scrutiny, this account becomes a less obvious candidate. Four interpretations of information are examined here as the basis for an information (...) processing account of digital computation, namely Shannon information, algorithmic information, factual information and instructional information. I argue that any plausible account of concrete computation has to be capable of explaining at least the three key algorithmic notions of input, output and procedures. Whist algorithmic information fares better than Shannon information, the most plausible candidate for an information processing account is instructional information. (shrink)
The first use of the term “information” to describe the content of nervous impulse occurs in Edgar Adrian's The Basis of Sensation (1928). What concept of information does Adrian appeal to, and how can it be situated in relation to contemporary philosophical accounts of the notion of information in biology? The answer requires an explication of Adrian's use and an evaluation of its situation in relation to contemporary accounts of semantic information. I suggest that Adrian's concept (...) of information can be to derive a concept of arbitrariness or semioticity in representation. This in turn provides one way of resolving some of the challenges that confront recent attempts in the philosophy of biology to restrict the notion of information to those causal connections that can in some sense be referred to as arbitrary or semiotic. (shrink)
Janusz Czelakowski Elements of Formal Action Theory 1. Elementary Action Systems 1.1 Introductory Remarks. In contemporary literature one may distinguish ...
Supplementary to matter and energy, information is the third essence for modeling the natural world. An emerging discipline known as cognitive informatics (CI) is developed recently that forms a profound interdisciplinary study of cognitive and information sciences, and tackles the common root problems sharing by informatics, computing, software engineering, artificial intelligence, cognitive science, neuropsychology, philosophy, linguistics, and life science. CI focuses on internal information processing mechanisms and the natural intelligence of the brain. This paper describes (...) the historical development of informatics from the classical information theory and contemporary informatics, to CI. The domain of CI, and its interdisciplinary nature are explored. Foundations of CI, particularly the brain versus the mind, the acquired life functions versus the inherited ones, and generic relationships between information, matter, and energy are investigated. The potential engineering applications of CI and perspectives on future research are discussed. It is expected that the investigation into CI will result in fundamental findings towards the development of next generation IT and software technologies, and new architectures of computing systems. (shrink)
Abstract: The core aim of this special issue is to present the philosophy of information as a way of doing philosophy, to focus on the contributions of Luciano Floridi to that area, and most important, to stimulate the debate on the most distinctive and controversial views he has defended in that context. This introduction contains a description of the philosophy of information, a discussion of two common misconceptions about the scope and the ambition of the philosophy of (...) class='Hi'>information, and a brief overview of the essays in the issue. (shrink)
This book is an extensive survey and critical examination of the literature on the use of expert opinion in scientific inquiry and policy making. The elicitation, representation, and use of expert opinion is increasingly important for two reasons: advancing technology leads to more and more complex decision problems, and technologists are turning in greater numbers to "expert systems" and other similar artifacts of artificial intelligence. Cooke here considers how expert opinion is being used today, how an expert's uncertainty is or (...) should be represented, how people do or should reason with uncertainty, how the quality and usefulness of expert opinion can be assessed, and how the views of several experts might be combined. He argues for the importance of developing practical models with a transparent mathematic foundation for the use of expert opinion in science, and presents three tested models, termed "classical," "Bayesian," and "psychological scaling." Detailed case studies illustrate how they can be applied to a diversity of real problems in engineering and planning. (shrink)
Information processing theories in psychology give rise to executive theories of consciousness. Roughly speaking, these theories maintain that consciousness is a centralized processor that we use when processing novel or complex stimuli. The computational assumptions driving the executive theories are closely tied to the computer metaphor. However, those who take the metaphor serious — as I believe psychologists who advocate the executive theories do — end up accepting too particular a notion of a computing device. In this essay, I (...) examine the arguments from theoretical computational considerations that cognitive psychologists use to support their general approach in order to show that they make unwarranted assumptions about the processing attributes of consciousness. I then go on to examine the assumptions behind executive theories which grow out of the computer metaphor of cognitive psychology and conclude that we may not be the sort of computational machine cognitive psychology assumes and that cognitive psychology''s approach in itself does not buy us anything in developing theories of consciousness. Hence, the state space in which we may locate consciousness is vast, even within an information processing framework. (shrink)
In this article, I present a software architecture for intelligent agents. The essence of AI is complex information processing. It is impossible, in principle, to process complex information as a whole. We need some partial processing strategy that is still somehow connected to the whole. We also need flexible processing that can adapt to changes in the environment. One of the candidates for both of these is situated reasoning, which makes use of the fact that an agent is (...) in a situation, so it only processes some of the information – the part that is relevant to that situation. The combination of situated reasoning and context reflection leads to the idea of organic programming, which introduces a new building block of programs called a cell. Cells contain situated programs and the combination of cells is controlled by those programs. (shrink)
In two recent publications I argued against Nemirow and Lewis that there is distinctive, irreducibly phenomenal and perspectival information of the sort alleged by Jackson; but I gave an account of such information that is entirely compatible with a materialist view of human subjects. Hershfield argues that the latter account is inadequate, in that it fails to support the claim that the information it characterizes is irreducibly phenomenal or perspectival. I reply that Hershfield's conclusion does not follow (...) from his argument's premises. (shrink)
This paper will examine the implications of an extended “field theory of information,” suggested by Wolfhart Pannenberg, specifically in the Christian understanding of creation. The paper argues that the Holy Spirit created the world as field, a concept from physics, and the creation is directed by the logos utilizing information. Taking into account more recent developments of information theory, the essay further suggests that present creation has a causal impact upon the information utilized in creation. In (...) order to adequately address Pannenberg's hypothesis that the logos utilizes information at creation the essay will also include an introductory examination of Pannenberg's Christology which shifts from a strict “from below” Christology, to a more open “third way” of doing Christology beyond “above” and “below.” The essay concludes with a brief section relating the implications of an extended “field theory of information” to creative inspiration, as well as parallels with human inspiration. (shrink)
Close attention to levels of organization leads one to doubt the random character of the regulations of the cosmos as a whole. Scientific knowledge seems able, after all, to bring into focus the enigma of the individual histories that have shaped the world. Religious consciousness of a personal destiny should be analogically linked to the destiny of the universe in which it is rooted.
Is it ever permissible to publish a patient’s confidences without permission? I investigate this question for the field of psychoanalysis. Whereas most medical fields adopted a 1995 recommendation for consent requirements, psychoanalysis continues to defend the traditional practice of nonconsensual publication. Both the hermeneutic and the scientific branches of the field justify the practice, arguing that it provides data needed to help future patients, and both branches advance generalizations and causal claims. However the hermeneutic branch embraces methods tending to undermine (...) the reliability of such claims, while the scientific branch aims to improve the field’s empirical base – in their words, to advance psychoanalysis as a science. The scientific branch therefore has the stronger claim to the traditional practice, and it their claim that I consider. An immediate concern arises. We seem unable to answer the applied ethical question without first determining which ethical theory is correct; for defenders of the practice appeal variously to therapeutic privilege, principlism, and utilitarianism, while opponents wage autonomy-based arguments. The concern turns out to be unfounded, however, because all of these ethical approaches fail to justify the traditional practice. The more promising defenses fail partly because even the scientific branch of the field lacks empirically sound methods for establishing its causal claims and generalizations, often appealing to authority instead. I conclude that it is currently unethical for analysts to continue publishing their patients’ confidences without permission, and I suggest that the field help future patients by attending to its methodological problems. (shrink)
This paper traces the application of information theory to philosophical problems of mind and meaning from the earliest days of the creation of the mathematical theory of communication. The use of information theory to understand purposive behavior, learning, pattern recognition, and more marked the beginning of the naturalization of mind and meaning. From the inception of information theory, Wiener, Turing, and others began trying to show how to make a mind from informational and computational materials. Over the (...) last 50 years, many philosophers saw different aspects of the naturalization of the mind, though few saw at once all of the pieces of the puzzle that we now know. Starting with Norbert Wiener himself, philosophers and information theorists used concepts from information theory to understand cognition. This paper provides a window on the historical sequence of contributions made to the overall project of naturalizing the mind by philosophers from Shannon, Wiener, and MacKay, to Dennett, Sayre, Dretske, Fodor, and Perry, among others. At some time between 1928 and 1948, American engineers and mathematicians began to talk about `Theory of Information' and `Information Theory,' understanding by these terms approximately and vaguely a theory for which Hartley's `amount of information' is a basic concept. I have been unable to find out when and by whom these names were first used. Hartley himself does not use them nor does he employ the term `Theory of Transmission of Information,' from which the two other shorter terms presumably were derived. It seems that Norbert Wiener and Claude Shannon were using them in the Mid-Forties. (shrink)
Ontologies are being used by information scientists in order to facilitate the sharing of meaningful information. However, computational ontologies are problematic in that they often decontextualize information. The semantic content of information is dependent upon the context in which it exists and the experience through which it emerges. For true semantic interoperability to occur among diverse information systems, within or across domains, information must remain contextualized. In order to bring more context to computational ontologies, (...) we introduce culture as an essential concept for informationscience. Culture helps to focus our attention on and make meaning of relevant extrapersonal structures and their qualities and dimensions that comprise the context and background of the world. In our approach, culture is integral to the study of semantics and, consequently, the study of ontologies and information technologies. The meaning we make of entities and phenomena in the world is always shaped by our cultural experience. If we understand culture as the emergent interplay of intrapersonal cognitive structures and extrapersonal structures of the world, then the notion of cognitive and cultural schemas becomes essential to understanding ontology and the ways in which we might achieve authentic semantic interoperability among diverse information systems. We explore the nature of ontologies and reconceptualize them as cultural schemas. Our proposal is an alternative to the historical path from philosophical ontology to computational ontologies as one that adheres primarily to the notion of ontology as a categorization and classification system. The obvious implication for ontology as categorization is that there is a single objective world that exists and that it can be described as entirely separate from the person observing it. We draw upon Heidegger’s examination of ontology to ground ontology in a phenomenological perspective, enabling it to remain flexible and adaptable and to accommodate context. (shrink)
Epistemic trust is crucial for science. This article aims to identify the kinds of assumptions that are involved in epistemic trust as it is required for the successful operation of science as a collective epistemic enterprise. The relevant kind of reliance should involve working from the assumption that the epistemic endeavors of others are appropriately geared towards the truth, but the exact content of this assumption is more difficult to analyze than it might appear. The root of the (...) problem is that methodological decisions in science typically involve a complex trade-off between the reliability of positive results, the reliability of negative results, and the investigation's power (the rate at which it delivers definitive results). Which balance between these is the ‘correct’ one can only be determined in light of an evaluation of the consequences of all the different possible outcomes of the inquiry. What it means for the investigation to be ‘appropriately geared towards the truth’ thus depends on certain value judgments. I conclude that in the optimal case, trusting someone in her capacity as an information provider also involves a reliance on her having the right attitude towards the possible consequences of her epistemic work. 1 Introduction2 Epistemic Reliance within the Sciences3 Methodological Conventionalism4 Trust in Science5 Conclusions. (shrink)
The peculiarity of the relationship between philosophy and Artificial Intelligence (AI) has been evidenced since the advent of AI. This paper aims to put the basis of an extended and well founded philosophy of AI: it delineates a multi-layered general framework to which different contributions in the field may be traced back. The core point is to underline how in the same scenario both the role of philosophy on AI and role of AI on philosophy must be considered. Moreover, this (...) framework is revised and extended in the light of the consideration of a type of multiagent system devoted to afford the issue of scientific discovery both from a conceptual and from a practical point of view. (shrink)
Summarizes and illuminates two decades of research Gathering important papers by both philosophers and scientists, this collection illuminates the central themes that have arisen during the last two decades of work on the conceptual foundations of artificial intelligence and cognitive science. Each volume begins with a comprehensive introduction that places the coverage in a broader perspective and links it with material in the companion volumes. The collection is of interest in many disciplines including computer science, linguistics, biology, (...) class='Hi'>informationscience, psychology, neuroscience, iconography, and philosophy. Examines initial efforts and the latest controversies The topics covered range from the bedrock assumptions of the computational approach to understanding the mind, to the more recent debates concerning cognitive architectures, all the way to the latest developments in robotics, artificial life, and dynamical systems theory. The collection first examines the lineageof major research programs, beginning with the basic idea of machine intelligence itself, then focuses on specific aspects of thought and intelligence, highlighting the much-discussed issue of consciousness, the equally important, but less densely researched issue of emotional response, and the more traditionally philosophical topic of language and meaning. Provides a gamut of perspectives The editors have included several articles that challenge crucial elements of the familiar research program of cognitive science, as well as important writings whose previous circulation has been limited. Within each volume the papers are organized to reflect a variety of research programs and issues. The substantive introductions that accompany each volume further organize the material and provide readers with a working sense of the issues and the connection between articles. (shrink)
This paper reports the results of a series of experiments designed to establish how non-expert subjects conceptualize geospatial phenomena. Subjects were asked to give examples of geographical categories in response to a series of differently phrased elicitations. The results yield an ontology of geographical categories—a catalogue of the prime geospatial concepts and categories shared in common by human subjects independently of their exposure to scientific geography. When combined with nouns such as feature and object, the adjective geographic elicited almost exclusively (...) elements of the physical environment of geographical scale or size, such as mountain, lake and river. The phrase things that could be portrayed on a map, on the other hand, produced many geographical scale artefacts (roads, cities, etc.) and fiat objects (states, countries, etc.), as well as some physical feature types. These data reveal considerable mismatch as between the meanings assigned to the terms ‘geography’ and ‘geographic’ by scientific geographers and by ordinary subjects, so that scientific geographers are not in fact studying geographical phenomena as such phenomena are conceptualized by naive subjects. The data suggest, rather, a special role in determining the subject-matter of scientific geography for the concept of what can be portrayed on a map. This work has implications for work on usability and interoperability in geographical informationscience, and it throws light also on subtle and hitherto unexplored ways in which ontological terms such as ‘object’, ‘entity’ and ‘feature’ interact with geographical concepts. (shrink)
In this paper we propose a formal theory of partitions (ways of dividing up or sorting or mapping reality) and we show how the theory can be applied in the geospatial domain. We characterize partitions at two levels: as systems of cells (theory A), and in terms of their projective relation to reality (theory B). We lay down conditions of well-formedness for partitions and we define what it means for partitions to project truly onto reality. We continue by classifying well-formed (...) partitions along three axes: (a) degree of correspondence between partition cells and objects in reality; (b) degree to which a partition represents the mereological structure of the domain it is projected onto; and (c) degree of completeness and exhaustiveness with which a partition represents reality. This classification is used to characterize three types of partitions that play an important role in spatial informationscience: cadastral partitions, categorical coverages, and the partitions involved in folk categorizations of the geospatial domain. (shrink)
The basic idea of the particular way of understanding mental phenomena that has inspired the "cognitive revolution" is that, as a result of certain relatively recent intellectual and technological innovations, informed theorists now possess a more powerfully insightful comparison or model for mind than was available to any thinkers in the past. The model in question is that of software, or the list of rules for input, output, and internal transformations by which we determine and control the workings of a (...) computing machine's hardware. Although this comparison and its many implications have dominated work in the philosophy, psychology, and neurobiology of mind since the end of the Second World War, it now shows increasing signs of losing its once virtually unquestioned preeminence. Thus we now face the question of whether it is possible to repair and save this model by means of relatively inessential "tinkering", or whether we must reconceive it fundamentally and replace it with something different. In this book, twenty-eight leading scholars from diverse fields of "cognitive science"-linguistics, psychology, neurophysiology, and philosophy- present their latest, carefully considered judgements about what they think will be the future course of this intellectual movement, that in many respects has been a watershed in our contemporary struggles to comprehend that which is crucially significant about human beings. Jerome Bruner, Noam Chomsky, Margaret Boden, Ulric Neisser, Rom Harre, Merlin Donald, among others, have all written chapters in a non-technical style that can be enjoyed and understood by an inter-disciplinary audience of psychologists, philosophers, anthropologists, linguists, and cognitive scientists alike. (shrink)
This paper advocates a dispositional account of innate cognitive capacities, which has an illustrious history from Plato to Chomsky. The ?triggering model? of innateness, first made explicit by Stich ([1975]), explicates the notion in terms of the relative informational content of the stimulus (input) and the competence (output). The advantage of this model of innateness is that it does not make a problematic reference to normal conditions and avoids relativizing innate traits to specific populations, as biological models of innateness are (...) forced to do. Relativization can be avoided in the case of cognitive capacities precisely because informational content is involved. Even though one cannot measure output relative to input in a precise way, there are indirect and approximate ways of assessing the degree of innateness of a specific cognitive capacity. 1 Introduction 2 Two models of innateness 3 Discarding the disease model 4 Impoverishment and implasticity 5 Measuring poverty 6 Assessing innateness. (shrink)
Let psychologism be the doctrine that whether behavior is intelligent behavior depends on the character of the internal information processing that produces it. More specifically, I mean psychologism to involve the doctrine that two systems could have actual and potential behavior _typical_ of familiar intelligent beings, that the two systems could be exactly alike in their actual and potential behavior, and in their behavioral dispositions and capacities and counterfactual behavioral properties (i.e., what behaviors, behavioral dispositions, and behavioral capacities they (...) would have exhibited had their stimuli differed)--the two systems could be alike in all these ways, yet there could be a difference in the information processing that mediates their stimuli and responses that determines that one is not at all intelligent while the other is fully intelligent. (shrink)
Introduction: Science and Common Sense Long before the beginnings of modern civilization, men ac- quired vast funds of information about their environment. ...
Computation and information processing are among the most fundamental notions in cognitive science. They are also among the most imprecisely discussed. Many cognitive scientists take it for granted that cognition involves computation, information processing, or both – although others disagree vehemently. Yet different cognitive scientists use ‘computation’ and ‘information processing’ to mean different things, sometimes without realizing that they do. In addition, computation and information processing are surrounded by several myths; first and foremost, that they (...) are the same thing. In this paper, we address this unsatisfactory state of affairs by presenting a general and theory-neutral account of computation and information processing. We also apply our framework by analyzing the relations between computation and information processing on one hand and classicism and connectionism on the other. We defend the relevance to cognitive science of both computation, in a generic sense that we fully articulate for the first time, and information processing, in three important senses of the term. Our account advances some foundational debates in cognitive science by untangling some of their conceptual knots in a theory-neutral way. By leveling the playing field, we pave the way for the future resolution of the debates’ empirical aspects. (shrink)
I. Introduction “We can and do see the truth about many things: ourselves, others, trees and animals, clouds and rivers—in the immediacy of experience.”1 Absent from Bas van Fraassen’s list of those things we see are paramecia and mitochondria. We do not see such things, van Fraassen has long maintained, because they are unobservable, that is, they are undetectable by means of the unaided senses.2 But notice that these two notions—what we can see in the “immediacy” of experience and what (...) is detectable by means of the unaided senses—are not the same. There is no incoherence in maintaining that the immediacy of experience is capable of disclosing to us truths concerning entities that are not detectable by the naked eye. And so, I claim, it does; science and technology provide us with the means to see things we have never seen before. Some of those things are van Fraassen’s unobservables. That suggestion is nothing new. Grover Maxwell long ago emphasized the continuity between seeing with and without instrumentation.3 Van Fraassen originally provided two responses to Maxwell’s arguments: some things that you can see with instruments you can also see without instruments (and those are the observables); and.. (shrink)
Because its business is to resolve disputed issues, the law very often calls on those fields of science where the pressure of commercial interests is most severe. Because the legal system aspires to handle disputes promptly, the scientific questions to which it seeks answers will often be those for which all the evidence is not yet in. Because of its case-specificity, the legal system often demands answers of a kind science is not well-equipped to supply; and, for related (...) reasons, constitutes virtually the entire market for certain fields of forensic science and for certain psychiatric specialties. Because of its adversarial character, the law tends to draw in scientists who are more willing than most to give an opinion on less-than-overwhelming evidence; and the more often such a witness testifies, the more unbudgeably confident he may become in his opinion. Legal rules can make it impossible to bring potentially useful scientific information to light, and the legal penchant for “indicia” and the like can transform scientific subtleties into legal shibboleths. And because of its concern for precedent, and the desideratum of finality, the law sometimes lags behind scientific advances. (shrink)
Introspective reports are used as sources of information about other minds, in both everyday life and science. Many scientists and philosophers consider this practice unjustified, while others have made the untestable assumption that introspection is a truthful method of private observation. I argue that neither skepticism nor faith concerning introspective reports are warranted. As an alternative, I consider our everyday, commonsensical reliance on each other’s introspective reports. When we hear people talk about their minds, we neither refuse to (...) learn from nor blindly accept what they say. Sometimes we accept what we are told, other times we reject it, and still other times we take the report, revise it in light of what we believe, then accept the modified version. Whatever we do, we have (implicit) reasons for it. In developing a sound methodology for the scientific use of introspective reports, we can take our commonsense treatment of introspective reports and make it more explicit and rigorous. We can discover what to infer from introspective reports in a way similar to how we do it every day, but with extra knowledge, methodological care, and precision. Sorting out the use of introspective reports as sources of data is going to be a painstaking, piecemeal task, but it promises to enhance our science of the mind and brain. (shrink)
There is quite a bit of disagreement in cognitive science regarding the role that consciousness and control play in explanations of how people do what they do. The purpose of the present paper is to do the following: (1) examine the theoretical choice points that have lead theorists to conflicting positions, (2) examine the philosophical and empirical problems different theories encounter as they address the issue of conscious agency, and (3) provide an integrative framework (Wild Systems Theory) that addresses (...) these problems and potentially naturalizes conscious agency. It does so by grounding conscious and control in the notion of self-sustaining energy-transformation systems (i.e., living systems), versus computational or self- organizing systems, as is the case in information processing theory and dynamical systems theory, respectively. Given its assertion that content (and consciousness) emerges in self-sustaining systems, Wild Systems Theory may also provide a sound theoretical basis for a science of consciousness in general. (shrink)
When it comes to applying computational theory to the problem of phenomenal consciousness, cognitive scientists appear to face a dilemma. The only strategy that seems to be available is one that explains consciousness in terms of special kinds of computational processes. But such theories, while they dominate the field, have counter-intuitive consequences; in particular, they force one to accept that phenomenal experience is composed of information processing effects. For cognitive scientists, therefore, it seems to come down to a choice (...) between a counter-intuitive theory or no theory at all. We offer a way out of this dilemma. We argue that the computational theory of mind doesn't force cognitive scientists to explain consciousness in terms of computational processes, as there is an alternative strategy available: one that focuses on the representational vehicles that encode information in the brain. This alternative approach to consciousness allows us to do justice to the standard intuitions about phenomenal experience, yet remain within the confines of cognitive science. (shrink)
The representation of objects and faces by neurons in the temporal lobe visual cortical areas of primates has the property that the neurons encode relatively independent information in their firing rates. This means that the number of stimuli that can be encoded increases exponentially with the number of neurons in an ensemble. Moreover, the information can be read by receiving neurons that perform just a synaptically weighted sum of the firing rates being received. Some ways in which these (...) representations become grounded in the world are described. The issue of syntactic binding in representations, and of its value for a higher order thought system, is discussed. (shrink)
In The Philosophy of Information, Luciano Floridi presents a theory of “strongly semantic information”, based on the idea that “information encapsulates truth” (the so-called “veridicality thesis”). Starting with Popper, philosophers of science have developed different explications of the notion of verisimilitude or truthlikeness, construed as a combination of truth and information. Thus, the theory of strongly semantic information and the theory of verisimilitude are intimately tied. Yet, with few exceptions, this link has virtually pass (...) unnoticed. In this paper, we briefly survey both theories and offer a critical comparison of strongly semantic information and related notions, like truth, verisimilitude, and partial truth. (shrink)
Quantum informationscience is a source of task-related axioms whose consequences can be explored in general settings encompassing quantum mechanics, classical theory, and more. Quantum states are compendia of probabilities for the outcomes of possible operations we may perform on a system: ''operational states.'' I discuss general frameworks for ''operational theories'' (sets of possible operational states of a system), in which convexity plays key role. The main technical content of the paper is in a theorem that any such (...) theory naturally gives rise to a ''weak effect algebra'' when outcomes having the same probability in all states are identified and in the introduction of a notion of ''operation algebra'' that also takes account of sequential and conditional operations. Such frameworks are appropriate for investigating what things look like from an ''inside view,'' i.e., for describing perspectival information that one subsystem of the world can have about another. Understanding how such views can combine, and whether an overall ''geometric'' picture (''outside view'') coordinating them all can be had, even if this picture is very different in structure from the perspectives within it, is the key to whether we may be able to achieve a unified, ''objective'' physical view in which quantum mechanics is the appropriate description for certain perspectives, or whether quantum mechanics is truly telling us we must go beyond this ''geometric'' conception of physics. (shrink)
There has been much debate whether computers can be responsible. This question is usually discussed in terms of personhood and personal characteristics, which a computer may or may not possess. If a computer fulfils the conditions required for agency or personhood, then it can be responsible; otherwise not. This paper suggests a different approach. An analysis of the concept of responsibility shows that it is a social construct of ascription which is only viable in certain social contexts and which serves (...) particular social aims. If this is the main aspect of responsibility then the question whether computers can be responsible no longer hinges on the difficult problem of agency but on the possibly simpler question whether responsibility ascriptions to computers can fulfil social goals. The suggested solution to the question whether computers can be subjects of responsibility is the introduction of a new concept, called “quasi-responsibility” which will emphasise the social aim of responsibility ascription and which can be applied to computers. (shrink)
Martin Davies (2005). Cognitive Science. In Frank Jackson & Michael Smith (eds.), The Oxford Handbook of Contemporary Philosophy. New York: Oxford University Press New York.score: 27.0
The so-called ‘cognitive revolution’ (Gardner, 1985) in American psychology owed much to developments in adjacent disciplines, especially theoretical linguistics and computer science. Indeed, the cognitive revolution brought forth, not only a change in the conception of psychology, but also an inter-disciplinary approach to understanding the mind, involving philosophy, anthropology and neuroscience along with computer science, linguistics and psychology. Many commentators agree in dating the conception of this inter-disciplinary approach, cognitive science, to 11 September 1956, the second day (...) of a symposium on information theory held at MIT (Miller, 2003). Over the next twenty years or so, cognitive science developed an institutional presence through research centres, conferences, journals, and a substantial infusion of funds from the Alfred P. Sloan Foundation. (shrink)
Of all the problems facing science none are more challenging yet fascinating than those posed by consciousness. In The Science of Consciousness leading researchers examine how consciousness is being investigated in the key areas of cognitive psychology, neuropsychology and clinical psychology. Within cognitive psychology, special focus is given to the function of consciousness, and to the relation of conscious processing to nonconscious processing in perception, learning, memory and information dissemination. Neuropsychology includes examination of the neural conditions for (...) consciousness and the effects of brain damage. Finally, mind/body interactions in clinical and experimental settings are considered, including the somatic effects of imagery, biofeedback and placebo effects. Every chapter is written by an expert in the field. They each provide a clear overview of existing research along with an exciting new synthesis of consciousness studies. The The Science of Consciousness will be invaluable for students, researchers and clinicians interested in the developments and directions of this rapidly growing field. (shrink)
Written by world-leading experts, this book draws together a number of important strands in contemporary approaches to the philosophical and scientific questions that emerge when dealing with the issues of computing, information, cognition and the conceptual issues that arise at their intersections. It discovers and develops the connections at the borders and in the interstices of disciplines and debates. This volume presents a range of essays that deal with the currently vigorous concerns of the philosophy of information, ontology (...) creation and control, bioinformation and biosemiotics, computational and post-computation approaches to the philosophy of cognitive science, computational linguistics, ethics, and education. http://www.amazon.ca/Computation-Information-Cognition-Gordana-Dodig-Crnkovic/dp/1847180906. (shrink)
Fred Dretske's "Knowledge and the Flow of Information" is an extended attempt to develop a philosophically useful theory of information. Dretske adapts central ideas from Shannon and Weaver's mathematical theory of communication, and applies them to some traditional problems in epistemology. In doing so, he succeeds in building for philosophers a much-needed bridge to important work in cognitive science. The pay-off for epistemologists is that Dretske promises a way out of a long-standing impasse -- the Gettier problem. (...) He offers an alternative model of knowledge as information-based belief, which purports to avoid the problems justificatory accounts face. This essay looks closely at Dretske's theory. I argue that while the information-theoretic framework is attractive, it does not provide an adequate account of knowledge. And there seems to be no way of tightening the theory without introducing some version of a theory of justification -- the very notion Dretske's theory was designed to avoid. (shrink)
