Pete Mandik

This is Philosophy. In keeping with the mission of the series, This is Philosophy: Philosophy of Mind will be both accessible to the average student and technology oriented, integrating with supplemental online material. Also, while the proposed book will cover all of the topics one would expect in a traditional philosophy of mind course, it will be up to date and cover recent advances that are sadly missing from many competitor volumes. My proposed volume will not be limited to what has become a very oldfashioned approach to teaching philosophy of mind, which is to focus solely on the mindbody problem via Cartesian substance dualism and the twentieth-century reactions to it (behaviorism, identity theory, functionalism, and eliminativism). In recent decades philosophers of mind have made exciting progress toward, for example, explanations of consciousness, and explications of the nature of perception and emotion. It is increasingly clear that the progress made is now part of canonical philosophy of mind

Over the past three decades, philosophy of science has grown increasingly “local.” Concerns have switched from general features of scientific practice to concepts, issues, and puzzles specific to particular disciplines. Philosophy of neuroscience is a natural result. This emerging area was also spurred by remarkable recent growth in the neurosciences. Cognitive and computational neuroscience continues to encroach upon issues traditionally addressed within the humanities, including the nature of consciousness, action, knowledge, and normativity. Empirical discoveries about brain structure and function suggest ways that “naturalistic” programs might develop in detail, beyond the abstract philosophical considerations in their favor. The literature distinguishes “philosophy of neuroscience” and “neurophilosophy.” The former concerns foundational issues within the neurosciences. The latter concerns application of neuroscientific concepts to traditional philosophical questions. Exploring various concepts of representation employed in neuroscientific theories is an example of the former. Examining implications of neurological syndromes for the concept of a unified self is an example of the latter. In this entry, we will assume this distinction and discuss examples of both.

The majority of contemporary philosophers of mind are physicalists. The majority of physicalists, however, are non-reductive physicalists. As nonreductive physicalists, these philosophers hold that a system's mental properties are different from a system's physical properties, that is, they hold that the sum total of mental facts about some system is a different set of facts than the sum total of physical facts about the same system. As physicalists, however, these nonreductivists hold that mental facts are nonetheless determined by physical facts, that is, they subscribe to the supervenience thesis, i.e., the thesis that no mental differences can obtain without physical differences obtaining. In this paper I take up the issue of how best to understand the notion of supervenience, especially in the light of recent advances in the neurosciences

I respond to the separate commentaries by Jacob Berger, Charlie Pelling, and David Pereplyotchik on my paper, “Color-Consciousness Conceptualism.” I resist Berger’s suggestion that mental colors ever enter consciousness without accompaniment by deployments of concepts of their extra-mental counterparts. I express concerns about Pelling’s proposal that a more uniform conceptualist treatment of phenomenal sorites can be gained by a simple appeal to the partial overlap of the extensions of some concepts. I question the relevance to perceptual consciousness of the arguments for demonstrative concepts that Pereplyotchik attacks

In this reply we claim that, contra Dreyfus, the kinds of skillful performances Dreyfus discusses _are_ representational. We explain this proposal, and then defend it against an objection to the effect that the representational notion we invoke is a weak one countenancing only some global state of an organism as a representation. According to this objection, such a representation is not a robust, projectible property of an organism, and hence will gain no explana- tory leverage in cognitive scientific explanations. We argue on conceptual and empirical grounds that the representations we have identified are not weak unprojectible global states of organisms, but instead genuinely explanatory representational parts of persons

In this paper I explore the question of how artificial life might be used to get a handle on philosophical issues concerning the mind-body problem. I focus on questions concerning what the physical precursors were to the earliest evolved versions of intelligent life. I discuss how cellular automata might constitute an experimental platform for the exploration of such issues, since cellular automata offer a unified framework for the modeling of physical, biological, and psychological processes. I discuss what it would take to implement in a cellular automaton the evolutionary emergence of cognition from non-cognitive artificial organisms. I review work on the artificial evolution of minimally cognitive organisms and discuss how such projects might be translated into cellular automata simulations.

The present paper has three aims. The first and foremost aim is to introduce into philosophy of mind and related areas (philosophy of language, etc) a discussion of Slow Earth, an analogue to the classic Twin Earth scenario that features a difference from aboriginal Earth that hinges on time instead of the distribution of natural kinds. The second aim is to use Slow Earth to call into question the central lessons often alleged to flow from consideration of Twin Earth, lessons having to do with relations of minds to spatially definable boundaries of bodies such as skin or skull. The third aim is to suggest a puzzle for adherents of cognitive content externalism having to do with the metaphysical requirements on slow-switching, a hypothetical process whereby changes in the relations between subjects and their environments are followed by gradual changes in cognitive contents

00192001 Philosophy of science is primarily concernedto provide accounts of the principles and processes of scientific explanation. Early in the twentieth century, philosophers of science focusedon the logical structure of scientific thought, whereas in the later part of the century logic was de-emphasized in favour of other frameworks for conceptualizing scientific reasoning andexplanation, andan emphasis on historical andsociological factors that shape scientific thinking. While tracing through the landmarks of this history we note many points of contact between the philosophy of science and the cognitive sciences

I argue for the superiority of non-gappy physicalism over gappy physicalism. While physicalists are united in denying an ontological gap between the phenomenal and the physical, the gappy affirm and the non-gappy deny a relevant epistemological gap. Central to my arguments will be contemplation of Swamp Mary, a being physically intrinsically similar to post-release Mary (a physically omniscient being who has experienced red) but has not herself (the Swamp being) experienced red. Swamp Mary has phenomenal knowledge of a phenomenal character not instantiated by any of her past or current mental states. I issue a challenge to gappy physicalists to account for how it is that Swamp Mary can satisfy the psychosemantic requirements on phenomenal knowledge while non-Swamp pre-release Mary cannot. I argue that gappy physicalists cannot meet this psychosemantic challenge.

I develop advice to the reductionist about consciousness in the form of a transcendental argument that depends crucially on the sorts of knowledge claims concerning consciousness that, as crucial elements in the anti-reductionists’ epistemicgap arguments, the anti-reductionist will readily concede. The argument that I develop goes as follows. P1. If I know that I am not a zombie, then phenomenal character is (a certain kind of) conceptualized egocentric content. P2. I know that I am not a zombie. P3. Phenomenal character is (a certain kind of) conceptualized egocentric content. P4. Fixing my physical properties fixes my conceptualized egocentric contents. C. Fixing my physical properties fixes my phenomenal properties.

Computation and philosophy intersect three times in this essay. Computation is considered as an object, as a method, and as a model used in a certain line of philosophical inquiry concerning the relation of mind to matter. As object, the question considered is whether computation and related notions of mental representation constitute the best ways to conceive of how physical systems give rise to mental properties. As method and model, the computational techniques of artificial life and embodied evolutionary connectionism are used to conduct prosthetically enhanced thought experiments concerning the evolvability of mental representations. Central to this essay is a discussion of the computer simulation and evolution of three-dimensional synthetic animals with neural network controllers. The minimally cognitive behavior of finding food by exhibit- ing positive chemotaxis is simulated with swimming and walking creatures. These simulations form the basis of a discussion of the evolutionary and neurocomputa- tional bases of the incremental emergence of more complex forms of cognition. Other related work has been used to attack computational and representational theories of cognition. In contrast, I argue that the proper understanding of the evolutionary emergence of minimally cognitive behaviors is computational and representational through and through.

Cognitive Science is a major new guide to the central theories and problems in the study of the mind and brain. The authors clearly explain how and why cognitive science aims to understand the brain as a computational system that manipulates representations. They identify the roots of cognitive science in Descartes - who argued that all knowledge of the external world is filtered through some sort of representation - and examine the present-day role of Artificial Intelligence, computing, psychology, linguistics and neuroscience. Throughout, the key building blocks of cognitive science are clearly illustrated: perception, memory, attention, emotion, language, control of movement, learning, understanding and other important mental phenomena. Cognitive Science: presents a clear, collaborative introduction to the subject is the first textbook to bring together all the different strands of this new science in a unified approach includes illustrations and exercises to aid the student

Kinds of minds, Daniel Dennett. New York: Basic Books, 1996. ISBN 0–465–07350–6Darwin's dangerous idea: evolution and the meanings of life, Daniel C. Dennett. New York: Simon & Schuster, 1995. ISBN 0–684–80290–2The cognitive neurosciences, Michael S. Gazzaniga (Ed.) Cambridge, MA: MIT Press, 1995. ISBN 0–262–07157–6Lessons from an optical illusion: on nature and nurture, knowledge and values, Edward M. Hundert. Cambridge, MA: Harvard University Press, 1995. ISBN 0–674–52540‐XWittgenstein on mind and language, David G. Stern, Oxford: Oxford University Press, 1995. ISBN 0–19–508000–9Ten problems of consciousness: a representational theory of the phenomenal mind, Michael Tye. Cambridge, MA: MIT Press, 1995. ISBN: 0–262–20103–8Android epistemology, K.M. Ford, C. Glymour & P.J. Hayes (Eds). Cambridge, MA: MIT Press, 1995. ISBN 0–262–06184–8Autonomous agents, Alfred R. Mele. Oxford University Press, 1995.

Computation and philosophy intersect three times in this essay. Computation is considered as an object, as a method, and as a model used in a certain line of philosophical inquiry concerning the relation of mind to matter. As object, the question considered is whether computation and related notions of mental representation constitute the best ways to conceive of how physical systems give rise to mental properties. As method and model, the computational techniques of artificial life and embodied evolutionary connectionism are used to conduct prosthetically enhanced thought experiments concerning the evolvability of mental representations. Central to this essay is a discussion of the computer simulation and evolution of three‐dimensional synthetic animals with neural network controllers. The minimally cognitive behavior of finding food by exhibiting positive chemotaxis is simulated with swimming and walking creatures. These simulations form the basis of a discussion of the evolutionary and neurocomputational bases of the incremental emergence of more complex forms of cognition. Other related work has been used to attack computational and representational theories of cognition. In contrast, I argue that the proper understanding of the evolutionary emergence of minimally cognitive behaviors is computational and representational through and through.

Neurophilosophical appeals to neuroscience involve explicit and detailed use of contemporary neuroscientific literature. Neurophilosophy is not to be distinguished from other forms of naturalism by the philosophical conclusions that might be reached but by the role that contemporary neuroscience plays in the premises of the arguments for those conclusions. This chapter examines the neurophilosophical theories, and these theories will be useful to look at a small sample of some of the relevant neuroscience. Vision is one of the most important and best understood senses. Accordingly, most of the fruitful progress in combining philosophy and neuroscience has occurred in the domain of visual consciousness. The question arises of how best to apply the concepts of consciousness of interest to philosophers, state consciousness, transitive consciousness, and phenomenal character, in the context of a neuroscientific understanding of visual perception.