Philosophy of Information, Misc

After long arguments between positivism and falsificationism, the verification of universal hypotheses was replaced with the confirmation of uncertain major premises. Unfortunately, Hemple proposed the Raven Paradox. Then, Carnap used the increment of logical probability as the confirmation measure. So far, many confirmation measures have been proposed. Measure F proposed by Kemeny and Oppenheim among them possesses symmetries and asymmetries proposed by Elles and Fitelson, monotonicity proposed by Greco et al., and normalizing property suggested by many researchers. Based on the (...) semantic information theory, a measure b* similar to F is derived from the medical test. Like the likelihood ratio, measures b* and F can only indicate the quality of channels or the testing means instead of the quality of probability predictions. Furthermore, it is still not easy to use b*, F, or another measure to clarify the Raven Paradox. For this reason, measure c* similar to the correct rate is derived. Measure c* supports the Nicod Criterion and undermines the Equivalence Condition, and hence, can be used to eliminate the Raven Paradox. An example indicates that measures F and b* are helpful for diagnosing the infection of Novel Coronavirus, whereas most popular confirmation measures are not. Another example reveals that all popular confirmation measures cannot be used to explain that a black raven can confirm “Ravens are black” more strongly than a piece of chalk. Measures F, b*, and c* indicate that the existence of fewer counterexamples is more important than more positive examples’ existence, and hence, are compatible with Popper’s falsification thought. (shrink)

本书回顾了信息和熵理论的历史, 介绍了Shannon信息论及其局限性; 提出了广义通信模型和可度量语义信息、感觉信息及测量信号信息的广义信息测度；讨论了预测和检测的信息准则和优化理论; 提出了限误差信息率函数和保质信息率函数—经典信息率失真函数的改进形式, 及相应的通信数据压缩理论; 介绍了新的信息测度在气象预报、图象通信等领域的应用；分析了信息熵和统计物理熵之间的关系; 把新的通信模型和信息测度推广到控制领域, 使得信息测度可以用来评价控制 效果, 而且通信优化方法可用于控制优化。 还讨论了有关的经济学、生物学、美学及哲学问题。 新理论贯彻和深化了K.R. Popper 的科学进化论及马克思主义的实践检验真理思想。 本书可供通信、预测、检测、模式识别和人工智能、自然辩证法、 哲学等领域的研究人员及大 专学生阅读；亦可供语言学、控制、经济学、统计物理等方面学者参考。.

The BITrum glossary, planned as one of the first activities in the development of the BITrum project, essentially aims at serving as a tool for the clarification of concepts, theories and problems concerning information. Intending to embrace the most relevant points of view with respect to information, it is interdisciplinarily developed by a board of experts coming from a wide variety of scientific fields. The glossarium BITri kindly invites the scientific community to make contributions of any kind aimed at clarifying (...) in the field of information studies. (shrink)

Information is a central notion for cognitive sciences and neurosciences, but there is no agreement on what it means for a cognitive system to acquire information about its surroundings. In this paper, we approximate three influential views on information: the one at play in ecological psychology, which is sometimes called information for action; the notion of information as covariance as developed by some enactivists, and the idea of information as minimization of uncertainty as presented by Shannon. Our main thesis is (...) that information for action can be construed as covariant information, and that learning to perceive covariant information is a matter of minimizing uncertainty through skilled performance. We argue that the agent’s cognitive system conveys information for acting in an environment by minimizing uncertainty about how to achieve her intended goals in that environment. We conclude by reviewing empirical findings that support our view and by showing how direct learning, seen as instance of ecological rationality at work, is how mere possibilities for action are turned into embodied know-how. Finally, we indicate the affinity between direct learning and sense-making activity. (shrink)

World news can be discouraging these days. In order to counteract the effects of fake news and corruption, scientists have a duty to present the truth and propose ethical solutions acceptable to the world at large. -/- By starting from scratch, we can lay down the scientific principles underlying our very existence, and reach reasonable conclusions on all major topics including quantum physics, infinity, timelessness, free will, mathematical Platonism, happiness, ethics and religion, all the way to creation and a special (...) type of multiverse. -/- This article amounts to a summary of my personal Theory of Everything. -/- DOI: 10.13140/RG.2.2.36046.31049. (shrink)

This paper investigates the degree to which information theory, and the derived uses that make it work as a metaphor of our age, can be helpful in thinking about God’s immanence and transcendance. We ask when it is possible to say that a consciousness has to be behind the information we encounter. If God is to be thought about as a communicator of information, we need to ask whether a communication system has to pre-exist to the divine and impose itself (...) to God. If we want God to be Creator, and not someone who would work like a human being, ‘creating’ will mean sustaining in being as much the channel, the material system, as the message. Is information control? It seems that God’s actions are not going to be informational control of everything. To clarify the issue, we attempt to distinguish two kinds of ‘genialities’ in nature, as a way to evaluate the likelihood of God from nature. We investigate concepts and images of God, in terms of the history of ideas but also in terms of philosophical theology, metaphysics, and religious ontology. (shrink)

Searching for information is critical in many situations. In medicine, for instance, careful choice of a diagnostic test can help narrow down the range of plausible diseases that the patient might have. In a probabilistic framework, test selection is often modeled by assuming that people’s goal is to reduce uncertainty about possible states of the world. In cognitive science, psychology, and medical decision making, Shannon entropy is the most prominent and most widely used model to formalize probabilistic uncertainty and the (...) reduction thereof. However, a variety of alternative entropy metrics are popular in the social and the natural sciences, computer science, and philosophy of science. Particular entropy measures have been predominant in particular research areas, and it is often an open issue whether these divergences emerge from different theoretical and practical goals or are merely due to historical accident. Cutting across disciplinary boundaries, we show that several entropy and entropy reduction measures arise as special cases in a unified formalism, the Sharma-Mittal framework. Using mathematical results, computer simulations, and analyses of published behavioral data, we discuss four key questions: How do various entropy models relate to each other? What insights can be obtained by considering diverse entropy models within a unified framework? What is the psychological plausibility of different entropy models? What new questions and insights for research on human information acquisition follow? Our work provides several new pathways for theoretical and empirical research, reconciling apparently conflicting approaches and empirical findings within a comprehensive and unified information-theoretic formalism. (shrink)

The objective of this thesis is to present a naturalised metaphysics of information, or to naturalise information, by way of deploying a scientific metaphysics according to which contingency is privileged and a-priori conceptual analysis is excluded (or at least greatly diminished) in favour of contingent and defeasible metaphysics. The ontology of information is established according to the premises and mandate of the scientific metaphysics by inference to the best explanation, and in accordance with the idea that the primacy of physics (...) constraint accommodates defeasibility of theorising in physics. This metametaphysical approach is used to establish a field ontology as a basis for an informational structural realism. This is in turn, in combination with information theory and specifically mathematical and algorithmic theories of information, becomes the foundation of what will be called a source ontology, according to which the world is the totality of information sources. Information sources are to be understood as causally induced configurations of structure that are, or else reduce to and/or supervene upon, bounded (including distributed and non-contiguous) regions of the heterogeneous quantum field (all quantum fields combined) and fluctuating vacuum, all in accordance with the above-mentioned quantum field-ontic informational structural realism (FOSIR.) Arguments are presented for realism, physicalism, and reductionism about information on the basis of the stated contingent scientific metaphysics. In terms of philosophical argumentation, realism about information is argued for primarily by way of an indispensability argument that defers to the practice of scientists and regards concepts of information as just as indispensable in their theories as contingent representations of structure. Physicalism and reductionism about information are adduced by way of the identity thesis that identifies the substance of the structure of ontic structural realism as identical to selections of structure existing in re to combined heterogeneous quantum fields, and to the total heterogeneous quantum field comprised of all such fields. Adjunctly, an informational statement of physicalism is arrived at, and a theory of semantic information is proposed, according to which information is intrinsically semantic and alethically neutral. (shrink)

In this position paper, we describe a number of methodological and philosophical challenges that arose within our interdisciplinary Digital Humanities project CatVis, which is a collaboration between applied geometric algorithms and visualization researchers, data scientists working at OCLC, and philosophers who have a strong interest in the methodological foundations of visualization research. The challenges we describe concern aspects of one single epistemic need: that of methodologically securing (an increase in) trust in visualizations. We discuss the lack of ground truths in (...) the (digital) humanities and argue that trust in visualizations requires that we evaluate visualizations on the basis of ground truths that humanities scholars themselves create. We further argue that trust in visualizations requires that a visualization provides provable guarantees on the faithfulness of the visual representation and that we must clearly communicate to the users which part of the visualization can be trusted and how much. Finally, we discuss transparency and accessibility in visualization research and provide measures for securing transparency and accessibility. (shrink)

By bringing together Dretske’s theory of knowledge, Shannon’s theory of information, and the conceptual framework of statistical physics, this paper explores some of the meta-physical challenges posed by a naturalistic notion of semantical information. It is argued that Dretske’s theory cannot be said to be naturalistically grounded in the world described by classical physics and that Dretske information is not consistent with Shannon information. A possible route to reconciling Dretske’s insights with Shannon’s theory is proposed. Along the way, an attempt (...) is made to clarify several points of possible confusion about the relationships between Dretske information, Shannon information and statistical physics. (shrink)

For several decades Rafael Capurro has been at the forefront of defining the relationship between information and modernity through both phenomenological and ethical formulations. In exploring both of these themes Capurro has re-vivified the transcultural and intercultural expressions of how we bring an understanding of information to bear on scientific knowledge production and intermediation. Capurro has long stressed the need to look deeply into how we contextualize the information problems that scientific society creates for us and to re-incorporate a pragmatic (...) dimension into our response that provides a balance to the cognitive turn in information science. -/- With contributions from 35 scholars from 15 countries, Information Cultures in the Digital Age focuses on the culture and philosophy of information, information ethics, the relationship of information to message, the historic and semiotic understanding of information, the relationship of information to power and the future of information education. This Festschrift seeks to celebrate Rafael Capurro’s important contribution to a global dialogue on how information conceptualisation, use and technology impact human culture and the ethical questions that arise from this dynamic relationship. (shrink)

Against Nature – Chapter Abstracts Chapter 1. A Transdisciplinary Approach. In this short book you will find philosophy – metaphysical and political - economics, critical theory, complexity theory, ecology, sociology, journalism, and much else besides, along with the signposts and reference texts of the Information Systems field. Such transdisciplinarity is a challenge for both author and reader. Such books are often problematic: sections that are just old hat to one audience are by contrast completely new and difficult to another. My (...) hope is that in the interconnections, arguments and thrust of this polemic, readers will discover both interest and insight, alongside a range of new avenues to explore. This introductory chapter sets the scene – today’s digital world of Tech Giants and Fake News, its roots in the philosophical arguments of the 1920s, and the book’s key claims: (i) that the early 20th century philosophical grounding of today’s digital revolution is culpable in digital’s (growing) contribution to the ecological catastrophe unfolding in the 21st century; (ii) that process philosophy offers a new way to rethink that philosophical grounding, and reshape the digital revolution to support strategies to counter that catastrophe. Chapter 2. The Problem with Digital. This chapter begins with a brief overview of the research approaches in information systems as an academic field, before turning to the deeper roots of its malaise, in individualism, and its looming consequences. The three branches of Information Systems research, in academia, prove to be a useful lens through which to understand the field: Positivism, Interpretivism, and the Critical stance taken by this book. The ‘scientism’ at the root of positivism is examined, and the positivism in Information Systems critiqued as a historically contingent response to the ascendancy of a new brand of economics in Business Schools after the Second World War. But the computational market-fundamentalist form of economics sponsored in the 1950s (and applied by governments since the 1970s) centred around notions of the individual rational actor as an information processor. The philosophical underpinning of methodological and possessive individualism in this approach is exposed, and its influence upon the development – long before computing – of the science of ecology, and our notion of ecosystems, introduced. Chapter 3. The Future Does Not Exist. The philosophical core of the book, this chapter introduces process philosophy. Through an examination of the irreversible reality of subjectivity, Bergson’s famous notion of the durée reélle, and Whitehead’s critique of the bifurcation of subject and object, are introduced. The causally closed ‘time’ of positive science determines existence from the beginning to the end of the universe, be it three seconds or three trillion years. But the reality, of course, is that the future does not exist: our choices are real, and only one of myriad potential futures comes into being at each moment. As Bergson insists, durational succession exists, I am conscious of it; it is a fact. Bergson’s star – once the brightest of any living philosopher in the world – faded almost as quickly as it rose, under the onslaught from the logical positivists whose verificationism insisted that any proposition has no factual meaning if no evidence of observation can count for or against it: all ethics, aesthetics, romance, and metaphysics – and the very subjectivity with which duration is experienced - were thus closed down and dismissed. In this chapter it is reintroduced, to a new audience. Chapter 4. The World in a New Light. Many fundamental problems in the world can be seen as resulting from the false philosophy of bifurcation, fixity, and the reification of abstractions critiqued by process philosophy. Being – with all the isolation and focus upon the individual that it entails – must, if we are to address these problems, be seen as secondary to Becoming, with all the connection, interrelatedness, and complex collectivity that it implies. Choices become clearer, between positivism and interpretivism, between accents upon individualism or collectivism, between reductionist and complex adaptive systems approaches. The systemic individualism in Anglo-American societies can be regarded as actually harmful: the Tech Giants severing ties and bonds rather than connecting us; algebraic ecological models actually breaking the co-dependencies and co-requisites upon which real – complex - ecological health depends. Positivism, built as it is upon methodological individualism, seen in the light of process philosophy, becomes a danger to personal psychological balance – cutting us off from one another; a danger to the social fabric – undermining and impoverishing our civic life; and a danger to the ecological health of the planet – ignoring the immense (eco)systemic impact of our activities over the last centuries upon everything around us in the natural world. Chapter 5. A Theoretical Manifesto for Green IT. We are not islands, and in a process-relational social organisation much must be held in common. We are individuals, but we cannot survive alone. Four different perspectives on individualism show it to be little more than greed. An ecological economics reintegrating the household, the social, the supportive State, and – crucially – the life-giving earth into our polities is introduced and promoted. I introduce the concept of ‘Infomateriality’ – a non-bifurcated digital world where the physical bodies of people - fingers touching keyboards and eyes scanning screens - are as much ‘hardware’ as cabling, circuitboards and haptic interfaces, and the social practices, power relations, and embedded politics within IT artefacts define all such techné as fundamentally social. Abstract divisions are false, and whole, socially embedded systems should be the focus of IS, and from a philosophically and sociologically much deeper perspective. ‘Tech for Good’ is held up as movement in the right direction. My hope is that this book will help promote action, in the field of information systems, toward a better world, where Green Tech for Good is deployed for Nature, rather than against it. (shrink)

Regarding the place of humans in a time of post-media I take into consideration the function of new technology and fictional information on human, embodied, and consequentially emotive forms of evaluating truth and messages conveyed, especially ones sent via the Internet. The main aim of this essay is to argue for the critical role played by post-media understood as digital technology in disseminating and co-creating post-truth conditions mediating human relationships horizontally (peer-to-peer, rather than vertically or from older generations to younger (...) ones) with each other and with information posted online. (shrink)

Artificial intelligence has often been seen as an attempt to reduce the natural mind to informational processes and, consequently, to naturalize philosophy. The many criticisms that were addressed to the so-called “old-fashioned AI” do not concern this attempt itself, but the methods it used, especially the reduction of the mind to a symbolic level of abstraction, which has often appeared to be inadequate to capture the richness of our mental activity. As a consequence, there were many efforts to evacuate the (...) semantical models in favor of elementary physiological mechanisms simulated by information processes. However, these views, and the subsequent criticisms against artificial intelligence that they contain, miss the very nature of artificial intelligence, which is not reducible to a “science of the nature”, but which directly impacts our culture. More precisely, they lead to evacuate the role of the semantic information. In other words, they tend to throw the baby out with the bath-water. This paper tries to revisit the epistemology of artificial intelligence in the light of the opposition between the “sciences of nature” and the “sciences of culture”, which has been introduced by German neo-Kantian philosophers. It then shows how this epistemological view opens on the many contemporary applications of artificial intelligence that have already transformed—and will continue to transform—all our cultural activities and our world. Lastly, it places those perspectives in the context of the philosophy of information and more particularly it emphasizes the role played by the notions of context and level of abstraction in artificial intelligence. (shrink)

This paper takes up a suggestion made by Floridi that the digital revolution is bringing about a profound change in our metaphysics. The paper aims to bring some older views from philosophy of mathematics to bear on this problem. The older views are concerned principally with mathematical realism—that is the claim that mathematical entities such as numbers exist. The new context for the discussion is informational realism, where the problem shifts to the question of the reality of information. Mathematical realism (...) is perhaps a special case of informational realism. The older views concerned with mathematical realism are the various theories of World 3. The concept of World 3 was introduced by Frege, whose position was close to Plato’s original views. Popper developed the theory of World 3 in a different direction which is characterised as ‘constructive Platonism’. But how is World 3 constructed? This is explored by means of two analogies: the analogy with money, and the analogy with meaning, as explicated by the later Wittgenstein. This leads to the development of an account of informational realism as constructive Aristoteliansim. Finally, this version of informational realism is compared with the informational structural realism which Floridi develops in his 2008 and 2009 papers in Synthese. Similarities and differences between the two positions are noted. (shrink)

Who are we, and how do we relate to each other? Luciano Floridi, one of the leading figures in contemporary philosophy, argues that the explosive developments in Information and Communication Technologies is changing the answer to these fundamental human questions. As the boundaries between life online and offline break down, and we become seamlessly connected to each other and surrounded by smart, responsive objects, we are all becoming integrated into an "infosphere". Personas we adopt in social media, for example, feed (...) into our 'real' lives so that we begin to live, as Floridi puts in, "onlife". Following those led by Copernicus, Darwin, and Freud, this metaphysical shift represents nothing less than a fourth revolution. "Onlife" defines more and more of our daily activity - the way we shop, work, learn, care for our health, entertain ourselves, conduct our relationships; the way we interact with the worlds of law, finance, and politics; even the way we conduct war. In every department of life, ICTs have become environmental forces which are creating and transforming our realities. How can we ensure that we shall reap their benefits? What are the implicit risks? Are our technologies going to enable and empower us, or constrain us? Floridi argues that we must expand our ecological and ethical approach to cover both natural and man-made realities, putting the 'e' in an environmentalism that can deal successfully with the new challenges posed by our digital technologies and information society. (shrink)

The Peircean semiotic approach to information that we developed in previous papers raises several new questions, and shows both similarities and differences with regard to other accounts of information. We do not intend to present here any exhaustive discussion about the relationships between our account and other approaches to information. Rather, our interest is mainly to address its relationship to ideas about information put forward by Gregory Bateson and Eva Jablonka. We conclude that all these authors offer quite broad concepts (...) of information, but we argue that they are just as broad as they should be, since information is in itself a sweeping concept. Furthermore, all of them suggest a processual approach to information, which departs from the treatment of information as something that is contained in some structure (e.g., in sequences of nucleotides) and moves us towards an understanding of information as a process — in the terms of our account, a semiotic process, i.e., semiosis. (shrink)

Biosemiotics is a growing fi eld that investigates semiotic processes in the living realm in an attempt to combine the fi ndings of the biological sciences and semiotics. Semiotic processes are more or less what biologists have typically referred to as “ signals, ” “ codes, ”and “ information processing ”in biosystems, but these processes are here understood under the more general notion of semiosis, that is, the production, action, and interpretation of signs. Thus, biosemiotics can be seen as biology (...) interpreted as a study of living sign systems — which also means that semiosis or sign process can be seen as the very nature of life itself. In other words, biosemiotics is a field of research investigating semiotic processes (meaning, signification, communication, and habit formation in living systems) and the physicochemical preconditions for sign action and interpretation. -/- (...). (shrink)

We are in the information age. Nowadays, the information is a high power commodity. Your domain and handling have high economic, political, social value. However, we still know little about it. What is the information? How do we store it, retrieve it and manipulate it? Everyone have or should have equal access to information? What is the relationship between information and knowledge? How can both influence and be influenced by the action? Can they are modeled? The models can contribute to (...) your understanding? Information and knowledge can consolidate or destroy friendships? What are the most efficient means to produce, store, organize and retrieve knowledge and information? Such questions permeate the content of this book, bringing together Brazilian and foreign authors, seeking to contribute to the improvement of the understanding of each of the concepts involved and the relationships between them. This work is the result of EIICA IX, International Meeting information, knowledge and action, held between December, 2nd and 4th 2015, at the Faculty of Philosophy and Science of UNESP/ Marília. (shrink)

In this work, we propose a definition of logical consequence based on the relation between the quantity of information present in a particular set of formulae and a particular formula. As a starting point, we use Shannon‟s quantitative notion of information, founded on the concepts of logarithmic function and probability value. We first consider some of the basic elements of an axiomatic probability theory, and then construct a probabilistic semantics for languages of classical propositional logic. We define the quantity of (...) information for the formulae of these languages and introduce the concept of informational logical consequence, identifying some important results, among them: certain arguments that have traditionally been considered valid, such as modus ponens, are not valid from the informational perspective; the logic underlying informational logical consequence is not classical, and is at the least paraconsistent sensu lato; informational logical consequence is not a Tarskian logical consequence. (shrink)

This commentary is a reflection on a collaboration with the artist Rossella Biscotti and comments on how artistic research and logico-mathematical methods can be used to contribute to the development of critical perspectives on contemporary data practices.

This chapter argues that as the online informational landscape continues to expand, shortcuts to source credibility evaluation, in particular the revered checklist approach, falls short of its intended goal, and this method cannot replace the acquisition of a more formally acquired and comprehensive information literacy skill set. By examining the current standard of checklist criteria, the authors identify problems with this approach. Such shortcuts are not necessarily effective for online source credibility assessment, and the authors contend that in cases of (...) high-stakes informational needs, they cannot adequately replace the expertise of information professionals, nor displace the need for proper and continuous information literacy education. (shrink)

In this paper, the role of the environment and physical embodiment of computational systems for explanatory purposes will be analyzed. In particular, the focus will be on cognitive computational systems, understood in terms of mechanisms that manipulate semantic information. It will be argued that the role of the environment has long been appreciated, in particular in the work of Herbert A. Simon, which has inspired the mechanistic view on explanation. From Simon’s perspective, the embodied view on cognition seems natural but (...) it is nowhere near as critical as its proponents suggest. The only point of difference between Simon and embodied cognition is the significance of body-based off-line cognition; however, it will be argued that it is notoriously over-appreciated in the current debate. The new mechanistic view on explanation suggests that even if it is critical to situate a mechanism in its environment and study its physical composition, or realization, it is also stressed that not all detail counts, and that some bodily features of cognitive systems should be left out from explanations. (shrink)

The Norbert Wiener Memorial Gold Medal address delivered by the Nobel Laureate recipient. Considers Norbert Wiener and the idea of contingence. Refers to Wiener's book The Human Use of Human Beings and in particular to the preface entitled "The idea of a contingent universe" and to the epilogue of the book by Rosenblith. This raises the question faced by Wiener: how to reconcile a deterministic world à la Newton with the intrinsically probabilistic universe of Gibbs, the relativistic universe of Einstein (...) and the Heisenberg uncertainty principle? Notes the parallelism among the questions Wiener is asking with the ones to which the Gold Medallist has devoted most of his scientific life. Presents a different point of view, as a tribute to the visionary ideas developed by Wiener. Discusses the "new physics" and the problems facing physics today, at the end of the twentieth century. (shrink)

On 3rd October, 1991, the Institute ‘Vienna Circle’ was founded on the occasion of the first meeting organized by it, which was a symposium entitled “Wien — Berlin — Prag” to commemorate the parallel endeavors of and the relations between these three centers of scientific philosophy.

This introduction to Luciano Floridi’s philosophy of information provides a short overview of Floridi’s work and its reception by the library and information studies community, brief definitions of some important PI concepts, and illustrations of Floridi’s three suggested applications of PI to library and information studies. It suggests that LIS may just be as important to PI as PI is to LIS in terms of deepening our mutual understanding of information ontologies, the dynamics of informational domains, and the variety of (...) evolving relationships among information organisms and information objects. (shrink)

In his article Open Problems in the Philosophy of Information 1 Luciano Floridi presented a Philosophy of Information research program in the form of eighteen open problems, covering the following fundamental areas: Information definition, information semantics, intelligence/cognition, informational universe/nature and values/ethics. We revisit Floridis program, highlighting some of the major advances, commenting on unsolved problems and rendering the new landscape of the Philosophy of Information emerging at present. As we analyze the progress of PI we try to situate Floridis program (...) in the context of scientific and technological development that have been made last ten years. We emphasize that Philosophy of Information is a huge and vibrant research field, with its origins dating before Open Problems, and its domains extending even outside their scope. In this paper, we have been able only to sketch some of the developments during the past ten years. Our hope is that, even if fragmentary, this review may serve as a contribution to the effort of understanding the present state of the art and the paths of development of Philosophy of Information as seen through the lens of Open Problems. (shrink)

This article introduces this special issue of Knowledge, Technology and Policy. It also explains why Luciano Floridi’s Philosophy of Technology is chosen as the topic of the special issue.

The phenomenon of ‘Deep Learning,’ which has given us such science-fiction-like innovations as self-driving cars, as well as visual search tools in photographic applications, is a new form, and subset, of ‘Machine Learning’ made possible by very recent innovations in computing. Machine Learning itself has been around for some decades – essentially pattern-recognition software that requires very substantial computing resources, which were, until recently, mostly theoretical and hard to come by. Machine Learning was one avenue of the field of Artificial (...) Intelligence known as Narrow A.I. – the kind of ‘artificial intelligence’ that was strictly limited in scope as a first-steps starting point of what came, as a result, to be known as General A.I. General A.I., known then as simply, ‘Artificial Intelligence’, was the 1950s dream that brought us such things as Robbie the Robot, and more recently C3PO, and The Terminator: the kind of science fiction characters that remain the only manifestations of General Artificial Intelligence. -/- ‘Deep Learning’ also continues engineering’s 1940s trend of using language in a way that I will contest in this paper: a co-opting of words that have been used, in the past, to describe human activities, using them instead to describe what engineers have managed to make machines do. These co-optations reduce the richness of the word, making its referent an algorithm: a flow diagram that represents the bare essentials of what an engineer can understand and reproduce of a human activity; not the human activity itself. This diagram of the ‘engineering possible’ over-simplifies the human activity it tries to depict. With continued usage, the meaning of the word for us today has all-too-often become reduced to what the engineer has newly defined it to mean: something much less than it once was. -/- In this paper I attempt to roll back some of these co-optations, and to re-introduce some of the richness of the words that have been taken by engineering. I examine Turing’s seminal paper on the notion of a thinking machine. I use the philosophical insights of Henri Bergson, especially in his book, Matter and Memory, and the discoveries of neuroscience and complexity scientists. I try to show that the answer to Turing’s question, ‘Can machines think?’ remains a resounding, ‘No!’, and that notions such as ‘deep learning’ are in fact not only an inaccurate use of the very human experience of learning, but degrade the latter in using such a term. (shrink)

This article aims to develop the outline of a possible philosophy of the digital, as a proper philosophy with its own domain, questions, methods and own theories. The article starts by describing the crisis of liniar thinking undersood, following Vilém Flusser, as as a crisis of historical-causal thinking. Then the digital thinking is described as a new way of thinking which aims to become the dominant way of scientific explanation of our times, by replacing historical-causal explanations with numerical models. The (...) proper domain of a philosophy of the digital is then defined as the digital-life form. The article ends by showing an example of a specific problem for the philosophy of the digital, namley the automatisation of human life. (shrink)

A generalized information theory is proposed as a natural extension of Shannon's information theory. It proposes that information comes from forecasts. The more precise and the more unexpected a forecast is, the more information it conveys. If subjective forecast always conforms with objective facts then the generalized information measure will be equivalent to Shannon's information measure. The generalized communication model is consistent with K. R. Popper's model of knowledge evolution. The mathematical foundations of the new information theory, the generalized communication (...) model , information measures for semantic information and sensory information, and the coding meanings of generalized entropy and generalized mutual information are introduced. Assessments and optimizations of pattern recognition, predictions, and detection with the generalized information criterion are discussed. For economization of communication, a revised version of rate-distortion theory: rate-of-keeping-precision theory, which is a theory for datum compression and also a theory for matching an objective channels with the subjective understanding of information receivers, is proposed. Applications include stock market forecasting and video image presentation. (shrink)

Semantic Information conveyed by daily language has been researched for many years; yet, we still need a practical formula to measure information of a simple sentence or prediction, such as “There will be heavy rain tomorrow”. For practical purpose, this paper introduces a new formula, Semantic Information Formula (SIF), which is based on L. A. Zadeh’s fuzzy set theory and P. Z. Wang’s random set falling shadow theory. It carries forward C. E. Shannon and K. Popper’s thought. The fuzzy set’s (...) probability defined by Zadeh is treated as the logical probability sought by Popper, and the membership grade is treated as the truth-value of a proposition and also as the posterior logical probability. The classical relative information formula (Information=log(Posterior probability / Prior probability) is revised into SIF by replacing the posterior probability with the membership grade and the prior probability with the fuzzy set’s probability. The SIF can be explained as “Information=Testing severity – Relative square deviation” and hence can be used as Popper's information criterion to test scientific theories or propositions. The information measure defined by the SIF also means the spared codeword length as the classical information measure. This paper introduces the set-Bayes’ formula which establishes the relationship between statistical probability and logical probability, derives Fuzzy Information Criterion (FIC) for the optimization of semantic channel, and discusses applications of SIF and FIC in areas such as linguistic communication, prediction, estimation, test, GPS, translation, and fuzzy reasoning. Particularly, through a detailed example of reasoning, it is proved that we can improve semantic channel with proper fuzziness to increase average semantic information to reach its upper limit: Shannon mutual information. (shrink)

The literature within library and information science (LIS) on relevance comes primarily from the subfields of information retrieval and information systems design. This literature has developed over time from an orthodoxy that has focused on relevance as an objective measure to a comprehension of the dynamic nature of relevance judgment. Other literatures, such as those of the philosophy of language and semantics, also have offered cogent thought that could and should be incorporated into LIS. This thought has broadened discussion to (...) the context in which relevance is assessed, the speech acts that are evaluated, and the dialogic element of human communication. (shrink)

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 information science.

The dominant approach in privacy theory defines information privacy as some form of control over personal information. In this essay, I argue that the control approach is mistaken, but for different reasons than those offered by its other critics. I claim that information privacy involves the drawing of epistemic boundaries—boundaries between what others should and shouldn’t know about us. While controlling what information others have about us is one strategy we use to draw such boundaries, it is not the only (...) one. We conceal information about ourselves and we reveal it. And since the meaning of information is not self-evident, we also work to shape how others contextualize and interpret the information about us that they have. Information privacy is thus about more than controlling information; it involves the constant work of producing and managing public identities, what I call “social self- authorship.” In the second part of the essay, I argue that thinking about information privacy in terms of social self- authorship helps us see ways that information technology threatens privacy, which the control approach misses. Namely, information technology makes social self- authorship invisible and unnecessary, by making it difficult for us to know when others are forming impressions about us, and by providing them with tools for making assumptions about who we are which obviate the need for our involvement in the process. (shrink)

During the twentieth century, bibliographic classification theory underwent a structural revolution. The first modern bibliographic classifications were top-down systems that started at the universe of knowledge and subdivided that universe downward to minute subclasses. After the invention of faceted classification by S.R. Ranganathan, the ideal was to build bottom-up classifications that started with the universe of concepts and built upward to larger and larger faceted classes. This ideal has not been achieved, and the two kinds of classification systems are not (...) mutually exclusive. This paper examines the process by which this structural revolution was accomplished by looking at the spread of facet theory after 1924 when Ranganathan attended the School of Librarianship, London, through selected classification textbooks that were published after that date. To this end, the paper examines the role of W.C.B. Sayers as a teacher and author of three editions of The Manual of Classification for Librarians and Bibliographers. Sayers influenced both Ranganathan and the various members of the Classification Research Group (CRG) who were his students. Further, the paper contrasts the methods of evaluating classification systems that arose between Sayers’s Canons of Classification in 1915–1916 and J. Mills’s A Modern Outline of Library Classification in 1960 in order to demonstrate the speed with which one kind of classificatory structure was overtaken by another. (shrink)