John Symons

Epistemic logic begins with the recognition that our everyday talk about knowing and believing has some systematic features that we can track and re‡ect upon. Epistemic logicians have studied and extended these glints of systematic structure in fascinating and important ways since the early 1960s. However, for one reason or another, mainstream epistemologists have shown little interest. It is striking to contrast the marginal role of epistemic logic in contemporary epistemology with the centrality of modal logic for metaphysicians. This article is intended to help in correcting this oversight by presenting some important developments in epistemic logic and suggesting ways to understand their applicability to traditional epistemological problems. Obviously, by itself, tweaking the formal apparatus of epistemic logic does not solve traditional epistemological problems. Epistemic logic can help us to navigate through problems in a systematic fashion by unpacking the logic of the problematic concepts, it can also lead us to recognize problems that we had not anticipated. This is basically analogous to the role that modal logic has played in contemporary metaphysics.

Intuition serves a variety of roles in contemporary philosophy. This paper provides a historical discussion of the revival of intuition in the 1970s, untangling some of the ways that intuition has been used and offering some suggestions concerning its proper place in philosophical investigation. Contrary to some interpretations of the results of experimental philosophy, it is argued that generalized skepticism with respect to intuition is unwarranted. Intuition can continue to play an important role as part of a methodologically conservative stance towards philosophical investigation. I argue that methodological conservatism should be sharply distinguished from the process of evaluating individual propositions. Nevertheless, intuition is not always a reliable guide to truth and experimental philosophy can serve a vital ameliorative role in determining the scope and limits of our intuitive competence with respect to various areas of inquiry.

_The Routledge Companion to Philosophy of Psychology, Second Edition_ is an invaluable guide and major reference source to the major topics, problems, concepts and debates in philosophy of psychology and is the first companion of its kind. A team of renowned international contributors provide forty-nine chapters organised into six clear parts: Historical background to Philosophy of Psychology Psychological Explanation Cognition and Representation The biological basis of psychology Perceptual Experience Personhood. _The Companion_ covers key topics such as the origins of experimental psychology; folk psychology; behaviorism and functionalism; philosophy, psychology and neuroscience; the language of thought, modularity, nativism and representational theories of mind; consciousness and the senses; dreams emotion and temporality; personal identity and the philosophy of psychopathology. For the_ second edition_ many of the current chapters have been updated, and seven new chapters added on important new topics such predictive processing, comparative cognition, learning, and group cognition, as well as a new introductory chapter by the editors on the demarcation between philosophy and psychology. Essential reading for all students of philosophy of mind, science and psychology, _The Routledge Companion to Philosophy of Psychology _will also be of interest to anyone studying psychology and its related disciplines.

This brief text assists students in understanding Dennett's philosophy and thinking so they can more fully engage in useful, intelligent class dialogue and improve their understanding of course content. Part of the Wadsworth Notes Series, (which will eventually consist of approximately 100 titles, each focusing on a single "thinker" from ancient times to the present), ON DENNETT is written by a philosopher deeply versed in the philosophy of this key thinker. Like other books in the series, this concise book offers sufficient insight into the thinking of a notable philosopher, better enabling students to engage in reading and to discuss the material in class and on paper.

An asymmetry between the demands at the computational and algorithmic levels of description furnishes the illusion that the abstract profile at the computational level can be multiply realized, and that something is actually being shared at the algorithmic one. A disembodied rendering of the situation lays the stress upon the different ways in which an algorithm can be implemented. However, from an embodied approach, things look rather different. The relevant pairing, I shall argue, is not between implementation and algorithm, but rather between algorithm and computation. The autonomy of psychology is a result of the failure to appreciate this point.

Rather than taking the ontological fundamentality of an ideal microphysics as a starting point, this article sketches an approach to the problem of levels that swaps assumptions about ontology for assumptions about inquiry. These assumptions can be implemented formally via computational modeling techniques that will be described below. It is argued that these models offer a way to save some of our prominent commonsense intuitions concerning levels. This strategy offers a way of exploring the individuation of higher level properties in a systematic and formally constrained manner. †To contact the author, please write to: Department of Philosophy, Worrell Hall 306, 500 University Avenue, University of Texas, El Paso, TX 79968; e‐mail: [email protected].

Skeptics argue that the acquisition of knowledge is impossible given the standing possibility of error. We present the limiting convergence strategy for responding to skepticism and discuss the relationship between conceivable error and an agent’s knowledge in the limit. We argue that the skeptic must demonstrate that agents are operating with a bad method or are in an epistemically cursed world. Such demonstration involves a significant step beyond conceivability and commits the skeptic to potentially convergent inquiry.

Giandomenico Sica’s volume is a collection of eleven papers on category theory by philosophers, mathematicians, and mathematical physicists. In addition to papers of direct interest to philosophers of mathematics, the volume contains some introductory expositions of category theory along with a valuable discussion of the relationship between category theory and physics by Bob Coecke. While there are several technically difficult papers, the volume as a whole is reasonably accessible to those with some familiarity with the basics of category theory. The importance of the volume lies in the possibility that it will encourage broader interest in category theory among philosophers.

Functionalism in the philosophy of mind rests on the claim that mental states are multiply realizable; mental states can be realized by or instantiated in a variety of distinct physical structures. To see them as multiply realizable we take mental states as causal roles rather than particular physical structures. As such, functionalism can be contrasted with metaphysical accounts which treat mental states as instances of a mental substance. Instead of puzzling over the relationship between mental and physical kinds, functionalists understand our talk of minds as a way of describing the functions of bodies. The attraction of a functionalist position is obvious. It seems to solve the traditional problem of mind-body dualism, while simultaneously reconciling the apparent irreducibility of psychological discourse with a broadly physicalistic or materialistic ontology.

Computational modeling plays an increasingly important explanatory role in cases where we investigate systems or problems that exceed our native epistemic capacities. One clear case where technological enhancement is indispensable involves the study of complex systems.1 However, even in contexts where the number of parameters and interactions that define a problem is small, simple systems sometimes exhibit non-linear features which computational models can illustrate and track. In recent decades, computational models have been proposed as a way to assist us in understanding emergent phenomena.

This volume gathers together essays from some of Hintikka’s colleagues and former students exploring his influence on their work and pursuing some of the insights that we have found in his work. This book includes a comprehensive overview of Hintikka’s philosophy by Dan Kolak and John Symons and an annotated bibliography of Hintikka’s work. Table of Contents: Foreword; Daniel Kolak and John Symons. Hintikka on Epistemological Axiomatizations; Vincent F. Hendricks. Hintikka on the Problem with the Problem of Transworld Identity; Troy Catterson. What is Epistemic Discourse About? Radu J. Bogdan. Interrogative Logic and the Economic Theory of Information; Raymond Dacey. A Metalogical Critique of Wittgensteinian ‘Phenomenology’; William Boos. Theoretical Commensurability By Correspondence Relations: When Empirical Success Implies Theoretical Reference; Gerhard Schurz. What is Abduction?: An Assessment of Jaakko Hintikka's Conception; James H. Fetzer. The dialogic of just being different: Hintikka's new approach to the notion of episteme and its impact on 'second generation' dialogics; Shahid Rahman. Probabilistic Features in Logic Games; Johan F. A. K. van Benthem. On Some Logical Properties of ‘Is True’; Jan Wolenski. The Results are in: The Scope and Import of Hintikka's Philosophy; Daniel Kolak and John Symons. Annotated Bibliography of Jaakko Hintikka. Index.

This paper argues that the difference between contemporary software intensive scientific practice and more traditional non-software intensive varieties results from the characteristically high conditionality of software. We explain why the path complexity of programs with high conditionality imposes limits on standard error correction techniques and why this matters. While it is possible, in general, to characterize the error distribution in inquiry that does not involve high conditionality, we cannot characterize the error distribution in inquiry that depends on software. Software intensive science presents distinctive error and uncertainty modalities that pose new challenges for the epistemology of science