_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. (shrink)

What is the relationship between common-sense, or 'folk', psychology and contemporary scientific psychology? Are they in conflict with one another? Or do they perform quite different, though perhaps complementary, roles? George Botterill and Peter Carruthers discuss these questions, defending a robust form of realism about the commitments of folk psychology and about the prospects for integrating those commitments into natural science. Their focus throughout the book is on the ways in which cognitive science presents a challenge to our common-sense self-image (...) - arguing that our native conception of the mind will be enriched, but not overturned, by science. The Philosophy of Psychology is designed as a textbook for upper-level undergraduate and beginning graduate students in philosophy and cognitive science, but as a text that not only surveys but advances the debates on the topics discussed, it will also be of interest to researchers working in these areas. (shrink)

A provocative exploration of how computers are reshaping ideas about what it means to be human profiles the annual Turing Test to assess a computer's capacity for thought while analyzing related philosophical, biological and moral issues.

Parsing the Turing Test is a landmark exploration of both the philosophical and methodological issues surrounding the search for true artificial intelligence. Will computers and robots ever think and communicate the way humans do? When a computer crosses the threshold into self-consciousness, will it immediately jump into the Internet and create a World Mind? Will intelligent computers someday recognize the rather doubtful intelligence of human beings? Distinguished psychologists, computer scientists, philosophers, and programmers from around the world debate these weighty issues (...) – and, in effect, the future of the human race – in this important volume. (shrink)

David Braddon-Mitchell and Frank Jackson’s popular introduction to philosophy of mind and cognition is now available in a fully revised and updated edition. Ensures that the most recent developments in the philosophy of mind and cognitive science are brought together into a coherent, accessible whole. Revisions respond to feedback from students and teachers and make the volume even more useful for courses. New material includes: a section on Descartes’ famous objection to materialism; extended treatment of connectionism; coverage of the view (...) that psychology is autonomous; fuller discussion of recent debates over phenomenal experience; and much more. (shrink)

... PHILOSOPHY OF PSYCHOLOGY is the study of conceptual issues in psychology. For the most part, these issues fall equally well in psychology as in..

There has been much discussion recently about the scope and limits of purely symbolic models of the mind and about the proper role of connectionism in cognitive modeling. This paper describes the symbol grounding problem : How can the semantic interpretation of a formal symbol system be made intrinsic to the system, rather than just parasitic on the meanings in our heads? How can the meanings of the meaningless symbol tokens, manipulated solely on the basis of their shapes, be grounded (...) in anything but other meaningless symbols? The problem is analogous to trying to learn Chinese from a Chinese/Chinese dictionary alone. A candidate solution is sketched: Symbolic representations must be grounded bottom-up in nonsymbolic representations of two kinds: iconic representations, which are analogs of the proximal sensory projections of distal objects and events, and categorical representations, which are learned and innate feature-detectors that pick out the invariant features of object and event categories from their sensory projections. Elementary symbols are the names of these object and event categories, assigned on the basis of their categorical representations. Higher-order symbolic representations, grounded in these elementary symbols, consist of symbol strings describing category membership relations. Connectionism is one natural candidate for the mechanism that learns the invariant features underlying categorical representations, thereby connecting names to the proximal projections of the distal objects they stand for. In this way connectionism can be seen as a complementary component in a hybrid nonsymbolic/symbolic model of the mind, rather than a rival to purely symbolic modeling. Such a hybrid model would not have an autonomous symbolic module, however; the symbolic functions would emerge as an intrinsically dedicated symbol system as a consequence of the bottom-up grounding of categories ' names in their sensory representations. Symbol manipulation would be governed not just by the arbitrary shapes of the symbol tokens, but by the nonarbitrary shapes of the icons and category invariants in which they are grounded. (shrink)

Replication or even modelling of consciousness in machines requires some clarifications and refinements of our concept of consciousness. Design of, construction of, and interaction with artificial systems can itself assist in this conceptual development. We start with the tentative hypothesis that although the word “consciousness” has no well-defined meaning, it is used to refer to aspects of human and animal informationprocessing. We then argue that we can enhance our understanding of what these aspects might be by designing and building virtual-machine (...) architectures capturing various features of consciousness. This activity may in turn nurture the development of our concepts of consciousness, showing how an analysis based on information-processing virtual machines answers old philosophical puzzles as well enriching empirical theories. This process of developing and testing ideas by developing and testing designs leads to gradual refinement of many of our pre-theoretical concepts of mind, showing how they can be construed as implicitly “architecture-based” concepts. Understanding how humanlike robots with appropriate architectures are likely to feel puzzled about qualia may help us resolve those puzzles. The concept of “qualia” turns out to be an “architecture-based” concept, while individual qualia concepts are “architecture-driven”. (shrink)

In this collection of essays we hear from an international array of computer and brain scientists who are actively working from both the machine and human ends...

What psychological and philosophical significance should we attach to recent efforts at computer simulations of human cognitive capacities? In answering this question, I find it useful to distinguish what I will call "strong" AI from "weak" or "cautious" AI. According to weak AI, the principal value of the computer in the study of the mind is that it gives us a very powerful tool. For example, it enables us to formulate and test hypotheses in a more rigorous and precise fashion. (...) But according to strong AI, the computer is not merely a tool in the study of the mind; rather, the appropriately programmed computer really is a mind, in the sense that computers given the right programs can be literally said to. (shrink)

I propose to consider the question, "Can machines think?" This should begin with definitions of the meaning of the terms "machine" and "think." The definitions might be framed so as to reflect so far as possible the normal use of the words, but this attitude is dangerous, If the meaning of the words "machine" and "think" are to be found by examining how they are commonly used it is difficult to escape the conclusion that the meaning and the answer to (...) the question, "Can machines think?" is to be sought in a statistical survey such as a Gallup poll. But this is absurd. Instead of attempting such a definition I shall replace the question by another, which is closely related to it and is expressed in relatively unambiguous words. The new form of the problem can be described in terms of a game which we call the 'imitation game." It is played with three people, a man (A), a woman (B), and an interrogator (C) who may be of either sex. The interrogator stays in a room apart front the other two. The object of the game for the interrogator is to determine which of the other two is the man and which is the woman. He knows them by labels X and Y, and at the end of the game he says either "X is A and Y is B" or "X is B and Y is A." The interrogator is allowed to put questions to A and B. We now ask the question, "What will happen when a machine takes the part of A in this game?" Will the interrogator decide wrongly as often when the game is played like this as he does when the game is played between a man and a woman? These questions replace our original, "Can machines think?". (shrink)

Explaining the mind by building machines with minds runs into the other-minds problem: How can we tell whether any body other than our own has a mind when the only way to know is by being the other body? In practice we all use some form of Turing Test: If it can do everything a body with a mind can do such that we can't tell them apart, we have no basis for doubting it has a mind. But what is (...) "everything" a body with a mind can do? Turing's original "pen-pal" version (the TT) only tested linguistic capacity, but Searle has shown that a mindless symbol-manipulator could pass the TT undetected. The Total Turing Test (TTT) calls for all of our linguistic and robotic capacities; immune to Searle's argument, it suggests how to ground a symbol manipulating system in the capacity to pick out the objects its symbols refer to. No Turing Test, however, can guarantee that a body has a mind. Worse, nothing in the explanation of its successful performance requires a model to have a mind at all. Minds are hence very different from the unobservables of physics (e.g., superstrings); and Turing Testing, though essential for machine-modeling the mind, can really only yield an explanation of the body. (shrink)

Let psychologism be the doctrine that whether behavior is intelligent behavior depends on the character of the internal information processing that produces it. More specifically, I mean psychologism to involve the doctrine that two systems could have actual and potential behavior _typical_ of familiar intelligent beings, that the two systems could be exactly alike in their actual and potential behavior, and in their behavioral dispositions and capacities and counterfactual behavioral properties (i.e., what behaviors, behavioral dispositions, and behavioral capacities they would (...) have exhibited had their stimuli differed)--the two systems could be alike in all these ways, yet there could be a difference in the information processing that mediates their stimuli and responses that determines that one is not at all intelligent while the other is fully intelligent. (shrink)

The philosophy of mind and cognition has been transformed by recent advances in what is loosely called cognitive science. This book is a thoroughly up-to-date introduction to and account of that transformation, in which the many strands in contemporary cognitive science are brought together into a coherent philosophical picture of the mind. The book begins with discussions of the pre-history of contemporary philosophy of mind - dualism, behaviourism, and early versions of the identity theory of mind - and moves through (...) discussions of functionalism in autonomy of psychology, to topics such as eliminative materialism, individualism and the problems of content and representation. The synoptic nature of the discussion makes it ideal as the foundation of an undergraduate course in the philosophy of mind. (shrink)

Turing's celebrated 1950 paper proposes a very general methodological criterion for modelling mental function: total functional equivalence and indistinguishability. His criterion gives rise to a hierarchy of Turing Tests, from subtotal ("toy") fragments of our functions (t1), to total symbolic (pen-pal) function (T2 -- the standard Turing Test), to total external sensorimotor (robotic) function (T3), to total internal microfunction (T4), to total indistinguishability in every empirically discernible respect (T5). This is a "reverse-engineering" hierarchy of (decreasing) empirical underdetermination of the theory (...) by the data. Level t1 is clearly too underdetermined, T2 is vulnerable to a counterexample (Searle's Chinese Room Argument), and T4 and T5 are arbitrarily overdetermined. Hence T3 is the appropriate target level for cognitive science. When it is reached, however, there will still remain more unanswerable questions than when Physics reaches its Grand Unified Theory of Everything (GUTE), because of the mind/body problem and the other-minds problem, both of which are inherent in this empirical domain, even though Turing hardly mentions them. (shrink)

The purpose of this book is to develop a terminological structure in which private perceptions can be discussed publicly without bringing into existence the usual unnecessary philosophical problems of confused usage of language. chisholm displays an appraisive, quasi-ethical use of language, whereby he claims that a thing has some particular sensible property is to have adequate evidence that it actually does have that property. (staff).

This collection of 17 essays by the author offers a comprehensive theory of mind, encompassing traditional issues of consciousness and free will.

The functionalist view of the nature of the mind is now widely accepted. Like behaviorism and physicalism, functionalism seeks to answer the question "What are mental states?" I shall be concerned with identity thesis formulations of functionalism. They say, for example, that pain is a functional state, just as identity thesis formulations of physicalism say that pain is a physical state.

The contributions to this book are original articles, representing a cross-section of current philosophical work on consciousness and thereby allowing students and readers from other disciplines to acquaint themselves with the very latest debate, so that they can then pursue their own research interests more effectively. The volume includes a bibliography on consciousness in philosophy, cognitive science and brain research, covering the last 25 years and consisting of over 1000 entries in 18 thematic sections, compiled by David Chalmers and Thomas (...) Metzinger. (shrink)

ACT, CONTENT, AND OBJECT THE TITLE I have chosen for this work is a mere label for a set of problems; the controversial views that have historically been ...

Alan Turing, pioneer of computing and WWII codebreaker, is one of the most important and influential thinkers of the twentieth century. In this volume for the first time his key writings are made available to a broad, non-specialist readership. They make fascinating reading both in their own right and for their historic significance: contemporary computational theory, cognitive science, artificial intelligence, and artificial life all spring from this ground-breaking work, which is also rich in philosophical and logical insight.

Ken Binmore's previous game theory textbook, Fun and Games, carved out a significant niche in the advanced undergraduate market; it was intellectually serious and more up-to-date than its competitors, but also accessibly written. Its central thesis was that game theory allows us to understand many kinds of interactions between people, a point that Binmore amply demonstrated through a rich range of examples and applications. This replacement for the now out-of-date 1991 textbook retains the entertaining examples, but changes the organization to (...) match how game theory courses are actually taught, making Playing for Real a more versatile text that almost all possible course designs will find easier to use, with less jumping about than before. In addition, the problem sections, already used as a reference by many teachers, have become even more clever and varied, without becoming too technical. Playing for Real will sell into advanced undergraduate courses in game theory, primarily those in economics, but also courses in the social sciences, and serve as a reference for economists. (shrink)

ACT, CONTENT, AND OBJECT THE TITLE I have chosen for this work is a mere label for a set of problems; the controversial views that have historically been ...

An exploration of the mind-body problem from the perspective of artificial intelligence.