In recent years, computational sciences such as computational hydrodynamics or computational field theory have supplemented theoretical and experimental investigations in many scientific fields. Often, there is a seemingly fruitful overlap between theory, experiment, and numerics. The computational sciences are highly dynamic and seem a fairly successful endeavor---at least if success is measured in terms of publications or engineering applications. However, for theories, success in application and correctness are two very different things; and just the same may hold for "methodologies" (...) like computer simulations. A lively debate on the epistemic status of computer simulations has thus emerged within the philosophy of science. This paper discusses possible problems when computer simulation and laboratory experiment are intertwined. In present experiments, stochastic methods in the form of Monte Carlo simulations are often involved in generating experimental data. It is questioned as to how far a realistic stance can be maintained when such stochastic elements are involved. Taking experiments in high energy physics as a study case, this paper contends that using these types of entangled material and numerical experiments as a source of new phenomena or for theory testing must presuppose a certain understanding of causality and thus binds us at least to a weak form of realism. (shrink)

Historical explanation after Hempel came to be discussed in terms of a contrast between nomic explanations and rationalizations, and later between cause and narrative. This period can be taken as an historical parenthesis, in which the notion of cause narrowed and the notion of historical understanding as empathic dropped out. In the present philosophical landscape there are different models of cause available, especially in the causal modeling literature, and a revived appreciation, through the philosophy of mind and in light (...) of such discoveries as mirror neurons, of empathy. The newer causal modeling literature foregrounds the problem of confounding or overdetermination, but solves it in ways inimical to historical explanation. Empathy, however, represents an alternative solution, available to the historian, in which causal relevance can be assessed and established in terms of its role in the reenacted experience of the historical subject. This suggests the idea that the art of history is using historical evidence to show what people might have thought and felt under past circumstances, in ways that engage our capacities to mind-read - capacities established by cognitive science. (shrink)

Machine generated contents note: 1 The Cartesian legacy -- The dominant paradigm -- Cartesian dualism -- The secret life of the body -- The Cartesian theatre -- The domain of reason -- The causal relevance of the mind -- Conclusion -- Further reading --2 Reductionism and the road to functionalism -- Causation, scientific realism, and physicalism -- Reductionism and central state materialism -- Problems with central state materialism -- Modified ontological physicalism: supervenience -- Modified explanatory physicalism: the disunity of -- (...) science picture -- Supervenient causation -- Functionalism -- Further reading --3 Computational models of mind -- Intentionality -- Rationality: the calculative account -- The computational model of mind -- Objections to the language of thought (1) -- Objections to the language of thought (2) -- Conclusion -- Further reading --4 The content of thought -- The internalist picture -- Externalism -- Singular thoughts -- Dual component theories -- Naturalistic externalism -- Teleological theories -- Conclusion -- Further reading --5 Anti-reductionist alternatives -- Interpretationalism -- Real patterns -- Direct interpretationalism -- Psychological causalism -- Modified psychological causalism -- Third-personalism and perspectivity -- The world from the point of view of the subject -- Context and culture -- Conclusion -- Further reading --6 The content of experience -- Consciousness -- The knowledge argument -- Absent qualia and inverted spectra -- Functionalist responses -- Internal monitoring -- Intentionalism -- Form and content -- The private language argument -- Further reading -- 7 Subjects of experience -- Subjectivity -- The subjective viewpoint -- Intersubjectivity -- Simulation theory -- Normativity and normality -- Expression -- Self-knowledge -- Conclusion -- Further reading --8 The embodied subject -- Mentality -- Desire -- Beyond the Cartesian body -- Metaphysical questions: multiple narratives -- Further reading -- Notes -- Bibliography -- Index. (shrink)

Since the late 1980s, the neglect of experiment by philosophers and historians of science has been replaced by a keen interest in the subject. In this volume, a number of prominent philosophers of experiment directly address basic theoretical questions, develop existing philosophical accounts, and offer novel perspectives on the subject, rather than rely exclusively on historical cases of experimental practice. Each essay examines one or more of six interconnected themes that run throughout the collection: the philosophical implications of (...) actively and intentionally interfering with the material world while conducting experiments; issues of interpretation regarding causality; the link between science and technology; the role of theory in experimentation involving material and causal intervention; the impact of modeling and computer simulation on experimentation; and the philosophical implications of the design, operation, and use of scientific instruments. (shrink)

: Understanding Helmholtz's philosophy of science requires attention to his experimental practice. I sketch out such a project by showing how experiment shapes his theory of perception in three ways. One, the theory emerged out of empirical and experimental research. Two, the concept of experiment fills a critical conceptual gap in his theory of perception. Experiment functions not merely as a scientific technique, but also as a general epistemological strategy. Three, Helmholtz's experimental practice provides essential clues (...) to the interpretation of his theory of perception. A case study from experimental investigation of hearing shows how he designed such studies in accordance with the epistemological commitments of the theory of perception. Yet, while the theory was important to his experiments, the soundness of the experimental strategy was epistemically independent of those commitments. Secondly, the case study illustrates how Helmholtz consistently held that causal inferences underwrite reference to a real, but indirectly experienced external world. (shrink)

The pervasive use of computer simulations in the sciences brings novel epistemological issues discussed in the philosophy of science literature since about a decade. Evolutionary biology strongly relies on such simulations, and in relation to it there exists a research program (Artificial Life) that mainly studies simulations themselves. This paper addresses the specificity of computer simulations in evolutionary biology, in the context (described in Sect. 1) of a set of questions about their scope as explanations, the nature of validation (...) processes and the relation between simulations and true experiments or mathematical models. After making distinctions, especially between a weak use where simulations test hypotheses about the world, and a strong use where they allow one to explore sets of evolutionary dynamics not necessarily extant in our world, I argue in Sect. 2 that (weak) simulations are likely to represent in virtue of the fact that they instantiate specific features of causal processes that may be isomorphic to features of some causal processes in the world, though the latter are always intertwined with a myriad of different processes and hence unlikely to be directly manipulated and studied. I therefore argue that these simulations are merely able to provide candidate explanations for real patterns. Section 3 ends up by placing strong and weak simulations in Levins’ triangle, that conceives of simulations as devices trying to fulfil one or two among three incompatible epistemic values (precision, realism, genericity). (shrink)

How do cognitive neuroscientists explain phenomena like memory or language processing? This book examines the different kinds of experiments and manipulative research strategies involved in understanding and eventually explaining such phenomena. Against this background, it evaluates contemporary accounts of scientific explanation, specifically the mechanistic and interventionist accounts, and finds them to be crucially incomplete. Besides, mechanisms and interventions cannot actually be combined in the way usually done in the literature. This book offers solutions to both these problems based on insights (...) from experimental practice. It defends a new reading of the interventionist account, highlights the importance of non-interventionist studies for scientific inquiry, and supplies a taxonomy of experiments that makes it easy to see how the gaps in contemporary accounts of scientific explanation can be filled. The book concludes that a truly empirically adequate philosophy of science must take into account a much wider range of experimental research than has been done to date. With the taxonomy provided, this book serves a stepping-stone leading into a new era of philosophy of science—for cognitive neuroscience and beyond. (shrink)

A central theme in western philosophy was to find formal methods that can reliably discover empirical relationships and their explanations from data assembled from experience. As a philosophical project, that ambition was abandoned in the 20th century and generally dismissed as impossible. It was replaced in philosophy by neo-Kantian efforts at reconstruction and justification, and in professional statistics by the more limited ambition to estimate a small number of parameters in pre-specified hypotheses. The influx of “big data” from (...) climate science, neuropsychology, biology, astronomy and elsewhere implicitly called for a revival of the grander philosophical ambition. Search algorithms are meeting that call, but they pose a problem: how are their accuracies to be assessed in domains where experimentation is limited or impossible? Increasingly, the answer is through simulation of data from models of the kind of process in the domain. In some cases, these innovations require rethinking how the accuracy and informativeness of inference methods can be assessed. Focusing on causal inference, we give an example from neuroscience, but to show that the model/simulation strategy is not confined to causal inference, we also consider two classification problems from astrophysics: identifying exoplanets and identifying dark matter concentrations. (shrink)

This paper presents and explicates the theory of empathy found in Edith Stein’s early philosophy, notably in the book On the Problem of Empathy, published in 1917, but also by proceeding from complementary thoughts on bodily intentionality and intersubjectivity found in Philosophy of Psychology and the Humanities published in 1922. In these works Stein puts forward an innovative and detailed theory of empathy, which is developed in the framework of a philosophical anthropology involving questions of psychophysical causality, social (...) ontology and moral philosophy. Empathy, according to Stein, is a feeling-based experience of another person’s feeling that develops throughout three successive steps on two interrelated levels. The key to understanding the empathy process á la Stein is to explicate how the steps of empathy are attuned in nature, since the affective qualities provide the energy and logic by way of which the empathy process is not only inaugurated but also proceeds through the three steps and carries meaning on two different levels corresponding to two different types of empathy: sensual and emotional empathy. Stein’s theory has great potential for better understanding and moving beyond some major disagreements found in the contemporary empathy debate regarding, for instance, the relation between perception and simulation, the distinction between what is called low-level and high-level empathy, and the issue of how and in what sense it may be possible to share feelings in the empathy process. (shrink)

The Australian philosopher Philip Gerrans ambitiously tries to provide a general theory about the formation of delusions that should enclose neuronal, cognitive and phenomenological levels of description. His theory is defined as narrative and it is grounded on the so called “default thoughts”, that consist in simulations, autobiographical narrative fragments produced by the Default Mode Network (DMN). The DMN is a powerful simulation system that evolved to allow humans to simulate and imagine experiences in the absence of an eliciting stimulus. (...) Such imaginative/simulative process is precariously disciplined by the Self’s demands of narrative coherence. The Author’s aim is to waive the notion of belief and the causal role played by the impairments of fixation-beliefs system in the onset of delusions, as predicted by the principle doxastic theories. (shrink)

The The sustainability of social life is based on social values. The manifestation of these values also takes place within the society. On the other hand, the realization of individuals is possible in society because a non-social human being is not a "human" in the philosophical sense. With human-oriented conditions that manifest themselves in the network of social relations, the criteria (moral values) related to the purpose of creation crystallize and become known so that the construction of a social paradigm (...) becomes possible. However, the society in which individuals live is also surrounded by an external world (material world). For this reason, the social paradigm also indirectly relies on a perception of the outside world. Thus, no matter what period of history, people's endeavor for an ideal society is accompanied by an interpretation of the external world, and with this "cumulative" knowledge, a "reducing" simulation of being is derived (cosmology). In fact, causality, which is the subject of physics, becomes the subject of philosophy in this mediation. As it can be understood, a significant problem here is the correlation between the fixed values (unconditional imperatives) that form the core of the social paradigm and the variable external world knowledge that is culturally effective in the manifestation of these values. Consequently, while determining the rules in the social order, one should act on the basis of values, not as if they have absolute knowledge of the material world. Whether we believe that the universe consists of "seven heavens" and is geocentric or heliocentric; Existential values such as justice, equality, and freedom are essential regardless of time and space. However, as historical facts show, those who have problems with this value system, which is accompanied by an interpretation of the external world, have raised objections through ever-developing knowledge of nature instead of universal values. For this reason, the geocentric perception of the universe, which forms the basis of the political paradigm in the class-based society of medieval Europe, was strongly desired to be maintained by the ruling classes. Ultimately, although this model of the universe collapsed, moral pursuits of human life continued to be sabotaged for the same political reasons, and disinformation began. Thus, scientific studies and the search for the truth (philosophy) were accompanied by endless polemics disguised as "philosophy." In fact, this situation reveals two opposing attitudes that repeat themselves in history, either in the East or the West: paradigmatic attitude (paradigmism) and enigmatic attitude (enigmatism). As a reflection of these two attitudes, the dominant discourse, which categorically accuses even the interest in understanding Western modernization in the Islamic world as heresy, did not occasionally hesitate to refer to some Western references by confirming with a vulgar pragmatism. For instance, Newtonian physics has been ignored. On the other hand, an attempt has been made to jump directly from Aristotelian physics to quantum physics by assuming an overlapping in classical texts. However, facing the new knowledge of nature has more actual consequences than polemics. To face these results and to show the legitimacy of Islamic values in the modern era, which are in conformity with the creation of human beings, the developments in the current knowledge of the universe (modern cosmology) cannot be ignored. This endeavor can be possible only when the philosophical and historical foundations of the subject are examined throughout the Western experience. (shrink)

This paper presents and explicates the theory of empathy found in Edith Stein’s early philosophy, notably in the book On the Problem of Empathy, published in 1917, but also by proceeding from complementary thoughts on bodily intentionality and intersubjectivity found in Philosophy of Psychology and the Humanities published in 1922. In these works Stein puts forward an innovative and detailed theory of empathy, which is developed in the framework of a philosophical anthropology involving questions of psychophysical causality, social (...) ontology and moral philosophy. Empathy, according to Stein, is a feeling-based experience of another person’s feeling that develops throughout three successive steps on two interrelated levels. The key to understanding the empathy process á la Stein is to explicate how the steps of empathy are attuned in nature, since the affective qualities provide the energy and logic by way of which the empathy process is not only inaugurated but also proceeds through the three steps and carries meaning on two different levels corresponding to two different types of empathy: sensual and emotional empathy. Stein’s theory has great potential for better understanding and moving beyond some major disagreements found in the contemporary empathy debate regarding, for instance, the relation between perception and simulation, the distinction between what is called low-level and high-level empathy, and the issue of how and in what sense it may be possible to share feelings in the empathy process. (shrink)

The importation of computational methods into biology is generating novel methodological strategies for managing complexity which philosophers are only just starting to explore and elaborate. This paper aims to enrich our understanding of methodology in integrative systems biology, which is developing novel epistemic and cognitive strategies for managing complex problem-solving tasks. We illustrate this through developing a case study of a bimodal researcher from our ethnographic investigation of two systems biology research labs. The researcher constructed models of metabolic and cell-signaling (...) pathways by conducting her own wet-lab experimentation while building simulation models. We show how this coupling of experiment and simulation enabled her to build and validate her models and also triangulate and localize errors and uncertainties in them. This method can be contrasted with the unimodal modeling strategy in systems biology which relies more on mathematical or algorithmic methods to reduce complexity. We discuss the relative affordances and limitations of these strategies, which represent distinct opinions in the field about how to handle the investigation of complex biological systems. (shrink)

The debates on the scientificity of social sciences in general, and sociology in particular, are recurring. From the original methodenstreitat the end the 19th Century to the contemporary controversy on the legitimacy of “regional epistemologies”, a same set of interrogations reappears. Are social sciences really scientific? And if so, are they sciences like other sciences? How should we conceive “research programs” Lakatos (1978) or “research traditions” for Laudan (1977) able to produce advancement of knowledge in the field of social and (...) human phenomena? Is the progress of knowledge in social sciences similar to the one generally observed in natural sciences? Is it possible to evaluate the relative merits of each one of these research programs? -/- These debates are important vectors of social and intellectual polarization. The historical divide between the positivist and the hermeneutics poles precedes the structure of the contemporary debate around the epistemic space of social sciences, It is not only a question of renewing the opposition between a monist view of sciences (e.g. McIntyre, 1996) and a dualistic one (e.g. Geertz, 1973) or even a trialist view of sciences (e.g. Lepenies, 1985). It is also a question of asserting dichotomies transformed into framework (including when it is a question of exceeding them): nature-culture, nomothetic-idiographic, models-narrative, structure-history, cause-reason, explanation-comprehension. -/- In this short introduction, we provide, in section 2, a first overview of this epistemological debate in social science. Section 3 proposes a different standpoint on the same questions, by introducing both ontological and methodological aspects in this basic epistemological debate. Namely, following (Hollis, 1994) oppositions of the explanation - understanding, causes - meaning, etc., types discussed in the firsts ection are comparatively examined together with oppositions of the structure - action, holism - individualism types. This allows us to discus show multi-agent design, by integrating various dimensions and standpoints in the same framework (Phan, Amblard, 2007, Chapters 1, 5, 14) can help us to shift these boundaries, and to bypass these oppositions. As model building and ontology design are at the core of this process (Phan, Amblard, 2007, Chapter 12), Section4 discusses various issues of the art of modelling, starting both from economists’ and sociologists’ current standpoints. (shrink)

In the Western tradition, at least since the 14th century, the philosophy of knowledge has been built around the idea of knowledge as a representation [Boulnois 1999]. The question of the evaluation of knowledge refers at the same time (1) to the object represented (which one does one represent?), (2) to the process of knowledge formation, in particular with the role of the knowing subject (which one does one represent and how does one represent it?), and finally (3) to (...) the relationship between the representation and the represented object. Criteria of evaluation such as “validity”, “adequacy” or “truth”, as mentioned in chapter 4, make sense only with respect to these three dimensions. An evaluation can thus (1) depend on the ontological nature of the object of knowledge, (2) relate to the relationship between subject and object—including the structures (cognitive, social) which organize this relationship, or (3) relate to the relation of similarity between the object and its representation as well. The relevant criteria of evaluation thus depend on the points of view adopted on these questions. As there are indeed a plurality of points of view in this field, the goal of this appendix is to summarize, as briefly as possible, the various positions adopted by the philosophers and to refer to the relevant texts of reference for more information. The first section introduces useful discussions about the philosophy of theoretical knowledge and general epistemology, from a quasi-historical perspective. Section two discusses the intermediary but central notion of models. Section three, more exploratory, intro-duces an approach to simulation as “concrete experiment”. It suggests that such a frequent claim in the literature, when precisely evaluated, can, to some extent, renew both the representational and the linguistic views on simulation. (shrink)

The history of developmental biology is interwoven with debates as to whether mechanistic explanations of development are possible or whether alternative explanatory principles or even vital forces need to be assumed. In particular, the demonstrated ability of embryonic cells to tune their developmental fate precisely to their relative position and the overall size of the embryo was once thought to be inexplicable in mechanistic terms. Taking a causal perspective, this Element examines to what extent and how developmental biology, having turned (...) molecular about four decades ago, has been able to meet the vitalist challenge. It focuses not only on the nature of explanations but also on the usefulness of causal knowledge – including the knowledge of classical experimental embryology – for further scientific discovery. It also shows how this causal perspective allows us to understand the nature and significance of some key concepts, including organizer, signal and morphogen. This title is also available as Open Access on Cambridge Core. (shrink)

Two key research issues in the field of causal learning are how people acquire causal knowledge when observing data that are presented sequentially, and the level of abstraction at which learning takes place. Does sequential causal learning solely involve the acquisition of specific cause-effect links, or do learners also acquire knowledge about abstract causal constraints? Recent empirical studies have revealed that experience with one set of causal cues can dramatically alter subsequent learning and performance with entirely different cues, suggesting that (...) learning involves abstract transfer, and such transfer effects involve sequential presentation of distinct sets of causal cues. It has been demonstrated that pre-training can modulate classic causal learning phenomena such as forward and backward blocking. To account for these effects, we propose a Bayesian theory of sequential causal learning. The theory assumes that humans are able to consider and use several alternative causal generative models, each instantiating a different causal integration rule. Model selection is used to decide which integration rule to use in a given learning environment in order to infer causal knowledge from sequential data. Detailed computer simulations demonstrate that humans rely on the abstract characteristics of outcome variables to select a causal integration rule, which in turn alters causal learning in a variety of blocking and overshadowing paradigms. When the nature of the outcome variable is ambiguous, humans select the model that yields the best fit with the recent environment, and then apply it to subsequent learning tasks. Based on sequential patterns of cue-outcome co-occurrence, the theory can account for a range of phenomena in sequential causal learning, including various blocking effects, primacy effects in some experimental conditions, and apparently abstract transfer of causal knowledge. (shrink)

Notes on Contributors • Preface • Christopher Peacocke, Introduction: The Issues and their Further Development I OBJECTIVE THOUGHT • John Campbell, Objects and Objectivity Commentaries • Bill Brewer, Thoughts about Objects, Places and Times • John O'Keefe, Cognitive Maps, Time and Causality II OBJECTIVITY AND THE UNITY OF CONSCIOUSNESS • Susan Hurley, Unity and Objectivity Commentaries • Anthony Marcel, What is Relevant to the Unity of Consciousness? • Michael Lockwood, Issues of Unity and Objectivity III UNDERSTANDING THE MENTAL:THEORY OR SIMULATION (...) • MARTIN DAVIES, The Mental Simulation Debate Commentaries • Jane Heal, Simulation vs. Theory Theory: What is at Issue? • Josef Perner, The Necessity and Impossibility of Simulation. (shrink)

We construct an event-based computer simulation model of the Einstein-Podolsky-Rosen-Bohm experiments with photons. The algorithm is a one-to-one copy of the data gathering and analysis procedures used in real laboratory experiments. We consider two types of experiments, those with a source emitting photons with opposite but otherwise unpredictable polarization and those with a source emitting photons with fixed polarization. In the simulation, the choice of the direction of polarization measurement for each detection event is arbitrary. We use three different procedures (...) to identify pairs of photons and compute the frequency of coincidences by analyzing experimental data and simulation data. The model strictly satisfies Einstein’s criteria of local causality, does not rely on any concept of quantum theory and reproduces the results of quantum theory for both types of experiments. We give a rigorous proof that the probabilistic description of the simulation model yields the quantum theoretical expressions for the single- and two-particle expectation values. (shrink)

Experimental modeling in biology involves the use of living organisms (not necessarily so-called "model organisms") in order to model or simulate biological processes. I argue here that experimental modeling is a bona fide form of scientific modeling that plays an epistemic role that is distinct from that of ordinary biological experiments. What distinguishes them from ordinary experiments is that they use what I call "in vivo representations" where one kind of causal process is used to stand in for a physically (...) different kind of process. I discuss the advantages of this approach in the context of evolutionary biology. (shrink)

Computer simulations are nowadays often directly involved in the generation of experimental results. Given this dependency of experiments on computer simulations, that of simulations on models, and that of the models on free parameters, how do researchers establish trust in their experimental results? Using high-energy physics (HEP) as a case study, I will identify three different types of robustness that I call conceptual, methodological, and parametric robustness, and show how they can sanction this trust. However, as I will also show, (...) simulation models in HEP themselves fail to exhibit a type of robustness I call inverse parametric robustness. This combination of robustness and failures thereof is best understood by distinguishing different epistemic capacities of simulations and different senses of trust: Trusting simulations in their capacity to facilitate credible experimental results can mean accepting them as means for generating belief in these results, while this need not imply believing the models themselves in their capacity to represent an underlying reality. (shrink)

In his classic work Anarchy, State and Utopia, Robert Nozick asked his readers to imagine being permanently plugged into a 'machine that would give you any experience you desired'. The authors in this volume re-evaluate the merits of Nozick’s argument, and use it to examine subsequent developments in culture and technology.

This survey of major developments in North American philosophy of science begins with the mid-1960s consolidation of the disciplinary synthesis of internalist history and philosophy of science (HPS) as a response to criticisms of logical empiricism. These developments are grouped for discussion under the following headings: historical metamethodologies, scientific realisms, philosophies of the special sciences, revivals of empiricism, cognitivist naturalisms, social epistemologies, feminist theories of science, studies of experiment and the disunity of science, and studies of science (...) as practice and culture. A unifying theme of the survey is the relation between historical metamethodologists and scientific realists, which dominated philosophical work in the late 1970s. I argue that many of the alternative cognitive naturalisms, social epistemologies, and feminist theories that have been proposed can be understood as analogues to the differences between metamethodological theories of scientific rationality and realist accounts of successful reference to real causal processes. Recent work on experiment, scientific practice, and the culture of science may, however, challenge the underlying conception of the field according to which realism and historical rationalism (or their descendants) are the important alternatives available, and thus may take philosophy of science in new directions. (shrink)

In the Western tradition, at least since the 14th century, the philosophy of knowledge has been built around the idea of knowledge as a representation [BOU 99]. The question of the evaluation of knowledge refers at the same time (1) to the object represented (which one does one represent?), (2) to the process of knowledge formation, in particular with the role of the knowing subject (which one does one represent and how does one represent it?), and finally (3) to (...) the relationship between the representation and the represented object. Criteria of evaluation such as “validity”, “adequacy” or “truth”, as mentioned in [AMB 07], make sense only with respect to these three dimensions. An evaluation can thus (1) depend on the ontological nature of the object of knowledge, (2) relate to the relationship between subject and object—including the structures (cognitive, social) which organize this relationship, or (3) relate to the relation of similarity between the object and its representation as well. The relevant criteria of evaluation thus depend on the points of view adopted on these questions. As there are indeed a plurality of points of view in this field, the goal of this appendix is to summarize, as briefly as possible, the various positions adopted by the philosophers and to refer to the relevant texts of reference for more information (for a first outline [CHA 76, SCH 01]). The first section 1 introduces useful discussions about the philosophy of theoretical knowledge and general epistemology, from a quasi-historical perspective. Section two 2 discusses the intermediary but central notion of models. Section three 3, more exploratory, introduces an approach to simulation as “concrete experiment”. It suggests that such a frequent claim in the literature, when precisely evaluated, can, to some extent, renew both the representational and the linguistic views on simulation. (shrink)

주관적이면서 객관적이기도 한 인간의 이중적 본성이 양립한다는 것을 어떻게 설명할 수 있는가? 김재권은 행위론에서 바로 이 문제를 제기한다. 인간 행위에 대한 기존의 대표적인 이론들, 인과론과 비인과론은 행위를 바라보는 주관적 관점과 객관적 관점을 이원적으로 분리하거나 어느 한쪽으로의 환원을 시도한다. 필자는 주관과 객관의 양립가능성 문제에 접근하는 기존의 모델들을 비판적으로 검토한 후 새로운 대안을 제안할 것이다. 여기서 이 문제를 해명하기 위한 시도의 하나로 김재권의 투사 및 시뮬레이션 모델을 검토하고 그것이 갖는 설명력과 한계를 논의한다. 나아가 필자가 고안한 시뮬레이션 집단사고실험 모델은 그러한 한계를 해결할 수 (...) 있다는 것을 보임으로써, 주관과 객관의 이중성을 해명하는 하나의 모델이 될 수 있다는 것을 논의할 것이다. (shrink)

Examines some of the potential and some of the problems inherent in using computerized simulations in science and science studies classes by applying lessons from the epistemology of science. While computer simulations are useful pedagogical tools, they are not experiments and thus are of only limited utility as substitutes for actual laboratories. Contains 20 references. (Author/PVD).

This research aims at investigating some specific metaphorical applications of the concept of causality in Suhrawardi's philosophy, basically referring to the theory of conceptual metaphor. Hitherto, two traditional and contemporary theories have been discussed in this regard. Regarding the traditional theory represented by Aristotle Metaphor, it can be regarded as the use of the name of something for something else. According to this view, the reason why one word is used instead of another is a pre-existing and objective similarity (...) between the two phenomena. Contemporary metaphor theory holds that, in addition to objective similarity, non-objective similarities, the creation of similarities by the mind and the correlation in experience are bases for the formation of metaphors. In Suhrawardi's philosophy, causality has been conceptualized as a key philosophical concept with the help of various metaphors. (shrink)

Experiments are commonly thought to have epistemic privilege over simulations. Two ideas underpin this belief: first, experiments generate greater inferential power than simulations, and second, simulations cannot surprise us the way experiments can. In this article I argue that neither of these claims is true of experiments versus simulations in general. We should give up the common practice of resting in-principle judgments about the epistemic value of cases of scientific inquiry on whether we classify those cases as experiments or simulations, (...) per se. To the extent that either methodology puts researchers in a privileged epistemic position, this is context sensitive. (shrink)

This anthology of selections from the works of noted philosophers affords the student an immediate contact with the unique historical background of the philosophy of science. The selections, many of which have not been readily accessible, follow the development of the philosophy of science from 1786 to 1927. Each selection is preceded by a brief introduction by the editor designed to familiarize the reader with a particular philosopher and provide insights into his work. Joseph J. Kockelmans divides the (...) selections into several sections. Part 1, from 17861850, includes chapters by Immanuel Kant, on the metaphysical foundations of natural science, John Frederick William Herschel, on experience and the analysis of phenomena, William Whewell, on the nature and conditions of inductive science, and John Stuart Mill, on induction and the law of universal causation; part 2, from 18701899, includes chapters by Hermann Von Helmholtz, on the origin and significance of geometrical axioms, William Stanley Jevons, on the philosophy of inductive inference, John Bernard Stallo, on the kinetic theory of gasses and the conditions of the validity of scientific hypotheses, Ernst Mach, on the economical nature of physical inquiry, Karl Pearson, on perceptual and conceptual space, Emile Boutroux, on mechanical laws, Heinrich Hertz, on the appropriateness, correctness, and permissibility of scientific theories, and Ludwig Boltzmann, on the fundamental principles and basic equations of mechanics. The third part, covering the first decade of the twentieth century, includes chapters by Henri Jules Poincare, on science and reality, Charles Peirce, on Induction, Pierre Marie Duhem, on the laws of physics, William Ostwald, on energetism and mechanics, Emile Meyerson, on identity of thought and nature as the final goal of science, Ernst Cassirer, on functional concepts of natural science; part 4, from 19101927, includes chapters by Charles Dunbar Broad, on phenomenalism, Alfred North Whitehead, on time, space, and material, Bertrand Russell, on the world of physics and the world of sense, Norman Robert Cambbell, on the meaning of science, Moritz Schlick, on basic issues of the philosophy of natural science, and Percy Williams Bridgman, on the concepts of space, time, and causality. Philosophy of Science provides a concise single volume text to the discipline and enables students to understand and evaluate the various trends in our contemporary philosophy of science. Joseph J. Kockelmans is professor emeritus of philosophy at the Pennsylvania State Univers. (shrink)

In a well-cited book chapter, ecologist Jared Diamond characterizes three main types of experiment performed in community ecology: laboratory experiment, field experiment, and natural experiment. Diamond argues that each form of experiment has strengths and weaknesses, with respect to, for example, realism or the ability to follow a causal trajectory. But does Diamond’s typology exhaust the available kinds of cause-finding practices? Some social scientists have characterized something they call “causal process tracing.” Is this a fourth (...) type of experiment or something else? I examine Diamond’s typology and causal process tracing in the context of a case study concerning the dynamics of wolf and deer populations on the Kaibab Plateau in the 1920s, a case that has been used as a canonical example of a trophic cascade by ecologists but which has also been subject to controversy. I argue that ecologists have profitably deployed causal process tracing together with other types of experiment to help settle questions of causality in this case. It remains to be seen how widespread the use of causal process tracing outside of the social sciences is (or could be), but there are some potentially promising applications, particularly with respect to questions about specific causal sequences. (shrink)

This introduction to the philosophy of social science provides an original conception of the task and nature of social inquiry. Peter Manicas discusses the role of causality seen in the physical sciences and offers a reassessment of the problem of explanation from a realist perspective. He argues that the fundamental goal of theory in both the natural and social sciences is not, contrary to widespread opinion, prediction and control, or the explanation of events. Instead, theory aims to provide an (...) understanding of the processes which, together, produce the contingent outcomes of experience. Offering a host of concrete illustrations and examples of critical ideas and issues, this accessible book will be of interest to students of the philosophy of social science, and social scientists from a range of disciplines. (shrink)

The general aim of this volume is to investigate the nature of the relation between pictorial experience and aesthetic appreciation. In particular, it is concerned with the character and intimacy of this relationship: is there a mere causal connection between pictorial experience and aesthetic appreciation, or are the two relata constitutively associated with one another? The essays in the book's first section investigate important conceptual issues related to the pictorial experience of paintings. In Section II, the essays discuss the notion (...) of styles, techniques, agency, and facture, and also take into account the experience of photographic and cinematic pictures. The Pleasure of Pictures goes substantially beyond current debates in the philosophy of depiction to launch a new area of reflection in philosophical aesthetics. (shrink)

This anthology of selections from the works of noted philosophers affords the student an immediate contact with the unique historical background of the philosophy of science. The selections, many of which have not been readily accessible, follow the development of the philosophy of science from 1786 to 1927. Each selection is preceded by a brief introduction by the editor designed to familiarize the reader with a particular philosopher and provide insights into his work. Joseph J. Kockelmans divides the (...) selections into several sections. Part 1, from 17861850, includes chapters by Immanuel Kant, on the metaphysical foundations of natural science, John Frederick William Herschel, on experience and the analysis of phenomena, William Whewell, on the nature and conditions of inductive science, and John Stuart Mill, on induction and the law of universal causation; part 2, from 18701899, includes chapters by Hermann Von Helmholtz, on the origin and significance of geometrical axioms, William Stanley Jevons, on the philosophy of inductive inference, John Bernard Stallo, on the kinetic theory of gasses and the conditions of the validity of scientific hypotheses, Ernst Mach, on the economical nature of physical inquiry, Karl Pearson, on perceptual and conceptual space, Emile Boutroux, on mechanical laws, Heinrich Hertz, on the appropriateness, correctness, and permissibility of scientific theories, and Ludwig Boltzmann, on the fundamental principles and basic equations of mechanics. The third part, covering the first decade of the twentieth century, includes chapters by Henri Jules Poincare, on science and reality, Charles Peirce, on Induction, Pierre Marie Duhem, on the laws of physics, William Ostwald, on energetism and mechanics, Emile Meyerson, on identity of thought and nature as the final goal of science, Ernst Cassirer, on functional concepts of natural science; part 4, from 19101927, includes chapters by Charles Dunbar Broad, on phenomenalism, Alfred North Whitehead, on time, space, and material, Bertrand Russell, on the world of physics and the world of sense, Norman Robert Cambbell, on the meaning of science, Moritz Schlick, on basic issues of the philosophy of natural science, and Percy Williams Bridgman, on the concepts of space, time, and causality. Philosophy of Science provides a concise single volume text to the discipline and enables students to understand and evaluate the various trends in our contemporary philosophy of science. Joseph J. Kockelmans is professor emeritus of philosophy at the Pennsylvania State Univers. (shrink)

"The Philosophy of the Future" which has cost the author 'more than half a century of toil', is a stout defense of the principle of Causation both against the philosophical scientists who, following Hume, would reduce cause to customary sequence among our sense-impressions, and against the subordination by many writers on logic of the notion of cause to that of reason or ground. To cancel causality is to efface all distinction between truth and falsehood. Scientia est cognoscere causas. "The (...) sole essential function of all thinking is to discriminate between cause and effect." "There is no known form of thought which is not ultimately reducible into an assertion of cause and effect." From the vantage ground of this theorem, with its corollary that "a cause cannot be known except through its effects, or an effect apart from its cause", Mr. Hebberd trains his guns upon the systems of Hume, Kant, Hegel, Mill, and other logical writers. He reviews successively Space, Time, the Concept, Judgment, and finally Induction, defined as "the discovery of causal processes by means of physical and mental experiment", in the attempt to show that all categories are but species and derivative forms under the supreme and all-embracing category of causality. The logical discussion is followed by chapters on God, Freedom and the Soul, in which the metaphysical application of his principles is made. The causal concept is utilized to strengthen the ontological argument. "The conception of a sufficient cause, fully understood, is identical with the theistic conception of God." This conception of a sufficient cause involves unity, infinitude, freedom and love (if an infinite being acts at all, or causes any changes, it must be for the sake of others). The fact again that the causal nexus is "a reality imperceptible to the senses" discredits materialism and positivism, and is used in demonstration of the existence and immortality of the soul. Mr. Hebberd attempts no exact definition of cause, but this, as he says in the appendix, is because he regards it as incapable of ordinary definition, "there being no wider genus under which it can be ranged as a species" (p. 214). He omits also any discussion of the origin of the causal concept. While frequently inveighing against innate ideas and Kantian apriorities, and rejecting impartially "the Scottish philosophy of 'common sense', with its short and easy method of 'intuitions', the French and English empiricism, the Teutonic illusionism" (p. 95) he yet declares: "Man does come into the world equipped, not with intuitions, but with the means of attaining to an assured knowledge of the world as the workmanship of an infinite and benevolent Being. For he comes endowed with the prerogative of thought; but to think is to affirm causality" (p. 157). What is this but intuitionism? Mr. Hebberd's work, it will be seen, is a discussion at once ambitious and concise of the deepest problems of logic and metaphysics. His book, in our judgment, is well worth the attention of the philosophical reader, who cannot but enjoy its incisive style, its trenchant criticisms, its wide outlook upon philosophic thought, and its original insights into its problems. -The Princeton Theological Review, Vol. 12 [1914]. (shrink)

The intentionality of sensation -- The first person -- Substance -- The subjectivity of sensation -- Events in the mind -- Comments on Professor R.L. Gregory's paper on perception -- On sensations of position -- Intention -- Pretending -- On the grammar of "Enjoy" -- The reality of the past -- Memory, "experience," and causation -- Causality and determination -- Times, beginnings, and causes -- Soft determinism -- Causality and extensionality -- Before and after -- Subjunctive conditionals -- "Under a (...) description" -- Analysis competition--tenth problem -- A reply to Mr. C.S. Lewis's argument that "naturalism" is self-refuting. (shrink)

This paper addresses the rift between the teacher’s sense of self as a causal agent and the experience of being in lack of control in the classroom, by way of Hans Vaihinger’s philosophy of ‘as if.’ It is argued that understanding agential control in terms of a valuable fiction—a practical fiction in Vaihinger’s vocabulary—can offer a way of bridging this rift and can help teachers make sense of the tension between their felt need to strive for control and their (...) experience of suffering from lack of control. A fiction, it is argued, is different from an illusion in that fictions can be affirmed without being believed. Unlike illusions, valuable fictions can be recognized as fictions and still retain some of their affective power over us, thereby allowing us to act ‘as if.’ In education, this is helpful as it means that we can make use of valuable fictions without assuming that these have to be protected from the critical gaze of non-believers. In fact, we can openly acknowledge that we rely on fictions as this is part and parcel of being a human being with a limited cognitive ability. (shrink)

The manipulationist account of causation provides a conceptual analysis of cause-effect relationships in terms of hypothetical experiments. It also explains why and how experiments are used for the empirical testing of causal claims. This paper attempts to apply the manipulationist account of causation to a broader range of experiments—a range that extends beyond experiments explicitly designed for the testing of causal claims. I aim to show that the set of causal inferences afforded by an experiment is determined solely on (...) the basis of contrasting case structures that I call “experimental series”, and that the conditions that suffice for causal inference obtain quite commonly, even among “ordinary” experiments that are not explicitly designed for the testing of causal claims. (shrink)

How might philosophy of religion be impacted by developments in computational modeling and social simulation? After briefly describing some of the content and context biases that have shaped traditional philosophy of religion, this article provides examples of computational models that illustrate the explanatory power of conceptually clear and empirically validated causal architectures informed by the bio-cultural sciences. It also outlines some of the material implications of these developments for broader metaphysical and metaethical discussions in philosophy. Computer modeling (...) and simulation can contribute to the reformation of the philosophy of religion in at least three ways: by facilitating conceptual clarity about the role of biases in the emergence and maintenance of phenomena commonly deemed “religious,” by supplying tools that enhance our capacity to link philosophical analysis and synthesis to empirical data in the psychological and social sciences, and by providing material insights for metaphysical hypotheses and metaethical proposals that rely solely on immanent resources. (shrink)

This paper examines the relationship between simulation and experiment. Many discussions of simulation, and indeed the term "numerical experiments," invoke a strong metaphor of experimentation. On the other hand, many simulations begin as attempts to apply scientific theories. This has lead many to characterize simulation as lying between theory and experiment. The aim of the paper is to try to reconcile these two points of viewto understand what methodological and epistemological features simulation has in common with experimentation, while (...) at the same time keeping a keen eye on simulation's ancestry as a form of scientific theorizing. In so doing, it seeks to apply some of the insights of recent work on the philosophy of experiment to an aspect of theorizing that is of growing philosophical interest: the construction of local models. (shrink)

In this paper, I discuss the relationship between bodily experiences in dreams and the sleeping, physical body. I question the popular view that dreaming is a naturally and frequently occurring real-world example of cranial envatment. This view states that dreams are functionally disembodied states: in a majority of dreams, phenomenal experience, including the phenomenology of embodied selfhood, unfolds completely independently of external and peripheral stimuli and outward movement. I advance an alternative and more empirically plausible view of dreams as weakly (...) phenomenally-functionally embodied states. The view predicts that bodily experiences in dreams can be placed on a continuum with bodily illusions in wakefulness. It also acknowledges that there is a high degree of variation across dreams and different sleep stages in the degree of causal coupling between dream imagery, sensory input, and outward motor activity. Furthermore, I use the example of movement sensations in dreams and their relation to outward muscular activity to develop a predictive processing account. I propose that movement sensations in dreams are associated with a basic and developmentally early kind of bodily self-sampling. This account, which affords a central role to active inference, can then be broadened to explain other aspects of self- and world-simulation in dreams. Dreams are world-simulations centered on the self, and important aspects of both self- and world-simulation in dreams are closely linked to bodily self-sampling, including muscular activity, illusory own-body perception, and vestibular orienting in sleep. This is consistent with cognitive accounts of dream generation, in which long-term beliefs and expectations, as well as waking concerns and memories play an important role. What I add to this picture is an emphasis on the real-body basis of dream imagery. This offers a novel perspective on the formation of dream imagery and suggests new lines of research. (shrink)

The goal of the present article is to contribute to the epistemology and methodology of computer simulations. The central thesis is that the process of simulation modeling takes the form of an explorative cooperation between experimenting and modeling. This characteristic mode of modeling turns simulations into autonomous mediators in a specific way; namely, it makes it possible for the phenomena and the data to exert a direct influence on the model. The argumentation will be illustrated by a case study of (...) the general circulation models of meteorology, the major simulation models in climate research. (shrink)

If well-designed, the results of a Randomised Clinical Trial can justify a causal claim between treatment and effect in the study population; however, additional information might be needed to carry over this result to another population. RCTs have been criticized exactly on grounds of failing to provide this sort of information Evidence, inference and enquiry. Oxford University Press, New York, 2011), as well as to black-box important details regarding the mechanisms underpinning the causal law instantiated by the RCT result. On (...) the other side, so-called In Silico Clinical Trials face the same criticisms addressed against standard modelling and simulation techniques, and cannot be equated to experiments Philosophy of molecular medicine: foundational issues in research and practice, Routledge, New York, 2017; Parker in Synthese 169:483–496, 2009; Parke in Philos Sci 81:516–536, 2014; Diez Roux in Am J Epidemiol 181:100–102, 2015 and related discussions in Frigg and Reiss in Synthese 169:593–613, 2009; Winsberg in Synthese 169:575–592, 2009; Beisbart and Norton in Int Stud Philos Sci 26:403–422, 2012). We undertake a formal analysis of both methods in order to identify their distinct contribution to causal inference in the clinical setting. Britton et al.’s study :E2098–E2105, 2013) on the impact of ion current variability on cardiac electrophysiology is used for illustrative purposes. We deduce that, by predicting variability through interpolation, ISCTs aid with problems regarding extrapolation of RCTs results, and therefore in assessing their external validity. Furthermore, ISCTs can be said to encode “thick” causal knowledge —as opposed to “thin” difference-making information inferred from RCTs. Hence, ISCTs and RCTs cannot replace one another but rather, they are complementary in that the former provide information about the determinants of variability of causal effects, while the latter can, under certain conditions, establish causality in the first place. (shrink)

Externalism in the philosophy of mind has been invoked by some philosophers to argue that content‐bearing mental states can’t serve as the explananda in genuinely causal explanations of behaviour. In this paper, I demonstrate that such arguments presuppose that psychological explanations are theory‐based and that, if this theoretical conception of psychological explanation is replaced by the simulation model, we remove the source of the apparent tension between externalism and caus‐ality and are in a position to understand how appeal to (...) content‐bearing mental states may be causally explanatory. (shrink)

The question of where, between theory and experiment, computer simulations (CSs) locate on the methodological map is one of the central questions in the epistemology of simulation (cf. Saam Journal for General Philosophy of Science, 48, 293–309, 2017). The two extremes on the map have them either be a kind of experiment in their own right (e.g. Barberousse et al. Synthese, 169, 557–574, 2009; Morgan 2002, 2003, Journal of Economic Methodology, 12(2), 317–329, 2005; Morrison Philosophical Studies, 143, (...) 33–57, 2009; Morrison 2015; Massimi and Bhimji Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics, 51, 71–81, 2015; Parker Synthese, 169, 483–496, 2009) or just an argument executed with the aid of a computer (e.g. Beisbart European Journal for Philosophy of Science, 2, 395–434, 2012; Beisbart and Norton International Studies in the Philosophy of Science, 26, 403–422, 2012). There exist multiple versions of the first kind of position, whereas the latter is rather unified. I will argue that, while many claims about the ‘experimental’ status of CSs seem unjustified, there is a variant of the first position that seems preferable. In particular I will argue that while CSs respect the logic of (deductively valid) arguments, they neither agree with their pragmatics nor their epistemology. I will then lay out in what sense CSs can fruitfully be seen as experiments, and what features set them apart from traditional experiments nonetheless. I conclude that they should be seen as surrogate experiments, i.e. experiments executed consciously on the wrong kind of system, but with an exploitable connection to the system of interest. Finally, I contrast my view with that of Beisbart (European Journal for Philosophy of Science, 8, 171–204, 2018), according to which CSs are surrogates for experiments, arguing that this introduces an arbitrary split between CSs and other kinds of simulations. (shrink)

Arguments pertaining to the mind-brain connection and to the physical effectiveness of our conscious choices have been presented in two recent books, one by John Searle, the other by Jaegwon Kim. These arguments are examined, and it is explained how the encountered difficulties arise from a defective understanding and application of a pertinent part of contemporary science, namely quantum mechanics. The principled quantum uncertainties entering at the microscopic levels of brain processing cannot be confined to the micro level, but percolate (...) up to the macroscopic regime. To cope with the conflict between the resulting macroscopic indefiniteness and the definiteness of our conscious experiences, orthodox quantum mechanics introduces the idea of agent-generated probing actions, each of which specifies a definite set of alternative possible empirically/experientially distinguishable outcomes. Quantum theory then introduces the mathematical concept of randomness to describe the probabilities of the various alternative possible outcomes of the chosen probing action. But the agent-generated choice of which probing action to perform is not governed by any known law or rule, statistical or otherwise. This causal gap provides a logical opening, and indeed a logical need, for the entry into the dynamical structure of nature of a process that goes beyond the currently understood quantum mechanical statistical generalization of the deterministic laws of classical physics. The well-known quantum Zeno effect can then be exploited to provide a natural process that establishes a causal psychophysical link within the complex structure consisting of a stream of conscious experiences and certain macroscopic classical features of a quantum mechanically described brain. This naturally created causal link effectively allows consciously felt intentions to affect brain activity in a way that tends to produce the intended feedback. This quantum mechanism provides an eminently satisfactory alternative to the classical physics conclusion that the physical present is 1 completely determined by the physical past, and hence provides a physicsbased way out of the dilemma that Searle and Kim tried to resolve by philosophical analysis.. (shrink)

This paper explores some interactions between normative/ philosophical/theoretical theorizing about causation and empirical research into causal reasoning and judgment of the sort conducted by psychologists and others. I attempt to extract some general morals regarding the kinds of interactions between the empirical and the more traditionally philosophical that in my experience have been most fruitful. I also compare the experimental work on which I focus with some of the research strategies employed in experimental philosophy.