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Drawing on data from contemporary experimental psychology and research in artificial intelligence, Dennett argues for a multiple drafts model of human consciousness, which he offers as an alternative to what he calls Cartesian materialism. I argue that the considerations Dennett advances do not, in fact, call for the abandonment of Cartesian materialism. Moreover, the theory presented by Dennett does not, as he claims, succeed in explaining consciousness; in particular, it fails to do justice to qualia. Illuminating though Dennett's discussion is, in many ways, it nevertheless leaves the traditional mind?body problem intact.
On the ground of Kant’s reformulation of the principle of con-
tradiction, a non-classical logic KC and its extension KC+ are constructed.
In KC and KC+, \neg(\phi \wedge \neg\phi), \phi \rightarrow (\neg\phi \rightarrow \phi), and \phi \vee \neg\phi are not valid due
to specific changes in the meaning of connectives and quantifiers, although
there is the explosion of derivable consequences from {\phi, ¬\phi} (the deduc-
tion theorem lacking). KC and KC+ are interpreted as fragments of an
S5-based first-order modal logic M. The quantification in M is combined
with a “subject abstraction” device, which excepts predicate letters from the
scope of modal operators. Derivability is defined by an appropriate labelled
tableau system rules. Informally, KC is mainly ontologically motivated (in
contrast, for example, to Jaśkowski’s discussive logic), relativizing state of
affairs with respect to conditions such as time.
Andrew Boucher (1997) argues that ``parallel computation is fundamentally different from sequential computation'' (p. 543), and that this fact provides reason to be skeptical about whether AI can produce a genuinely intelligent machine. But parallelism, as I prove herein, is irrelevant. What Boucher has inadvertently glimpsed is one small part of a mathematical tapestry portraying the simple but undeniable fact that physical computation can be fundamentally different from ordinary, ``textbook'' computation (whether parallel or sequential). This tapestry does indeed immediately imply that human cognition may be uncomputable.
One of Daniel Dennett's most sophisticated arguments for his eliminativism about phenomenological properties centers around the color phi phenomenon. He attempts to show that there is no phenomenological fact of the matter concerning the phenomenon of apparent motion because it is impossible to decide between two competing explanations. I argue that the two explanations considered by Dennett are both based on the assumption that a realist account of the phenomenon must include a neat mapping between phenomenological time and objective time. Since this assumption is false, Dennett's argument is unsuccessful. Like most eliminativist arguments, Dennett's arguments may indicate that the subjective character of experience is different from how it is often described, but this leaves plenty of room for alternative models of consciousness.
Assume T is stable, small and Φ(x) is a formula of L(T). We study the impact on $T\lceil\Phi$ of naming finitely many elements of a model of T. We consider the cases of $T\lceil\Phi$ which is ω-stable or superstable of finite rank. In these cases we prove that if T has $ countable models and Q = Φ(M) is countable and atomic or saturated, then any good type in S(Q) is τ-stable. If $T\lceil\Phi$ is ω-stable and (bounded, 1-based or of finite rank) with $I(T, \aleph_0) , then we prove that every good p ∈ S(Q) is τ-stable for any countable Q. The proofs of these results lead to several new properties of small stable theories, particularly of types of finite weight in such theories.
Jerry Fodor begins chapter one of The Language of Thought with two claims. The first claim is that “[T]he only psychological models of cognitive processes that seem remotely plausible represent such processes as computational.” The second claim is that “[C]omputation presupposes a medium of computation: a representational system.” Together these two claims suggest one of the central theses of many contemporary representationalist theories of mind, viz. that the only remotely plausible psychology that could succeed in explaining the intentionally characterized abilities and activities of sentient creatures must refer to computationally related representations. Although “[R]emotely plausible theories are”, according to Fodor, “better than no theories at all”, representationalism is not universally regarded as a “remotely plausible theory”. In what follows I will consider what many people believe to be a significant problem facing representationalism. I will then examine two different ways that this problem can be resolved, one based on the writings of Daniel Dennett, the other on ideas found in the later writings of Wittgenstein. I will conclude that although the resolution based on Dennett’s writings fails, a resolution based on ideas found in the later writings of Wittgenstein succeeds.
The dominant scientific and philosophical view of the mind – according to which, put starkly, cognition is computation – is refuted herein, via specification and defense of the following new argument: Computation is reversible; cognition isn't; ergo, cognition isn't computation. After presenting a sustained dialectic arising from this defense, we conclude with a brief preview of the view we would put in place of the cognition-is-computation doctrine.
This paper deals with the question: how is computation best individuated? 1. The semantic view of computation: computation is best individuated by its semantic properties.
Dennett and the philosophy of mind -- Adopting a stance -- Real patterns -- Different kinds of psychology -- Explaining consciousness : the basic account -- Explaining consciousness : developments, doubts, and the self -- Dennett's Darwin -- A variety of free will worth wanting.
Discussion of Selmer Bringsjord, Explaining phi without Dennett's exotica: Good ol' computation suffices
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