This essay presents a philosophical and computational theory of the representation of de re, de dicto, nested, and quasi-indexical belief reports expressed in natural language. The propositional Semantic Network Processing System (SNePS) is used for representing and reasoning about these reports. In particular, quasi-indicators (indexical expressions occurring in intentional contexts and representing uses of indicators by another speaker) pose problems for natural-language representation and reasoning systems, because--unlike pure indicators--they cannot be replaced by coreferential NPs without changing the meaning of the (...) embedding sentence. Therefore, the referent of the quasi-indicator must be represented in such a way that no invalid coreferential claims are entailed. The importance of quasi-indicators is discussed, and it is shown that all four of the above categories of belief reports can be handled by a single representational technique using belief spaces containing intensional entities. Inference rules and belief-revision techniques for the system are also examined. (shrink)

The computational view of mind rests on certain intuitions regarding the fundamental similarity between computation and cognition. We examine some of these intuitions and suggest that they derive from the fact that computers and human organisms are both physical systems whose behavior is correctly described as being governed by rules acting on symbolic representations. Some of the implications of this view are discussed. It is suggested that a fundamental hypothesis of this approach is that there is a natural domain of (...) human functioning that can be addressed exclusively in terms of a formal symbolic or algorithmic vocabulary or level of analysis. Much of the paper elaborates various conditions that need to be met if a literal view of mental activity as computation is to serve as the basis for explanatory theories. The coherence of such a view depends on there being a principled distinction between functions whose explanation requires that we posit internal representations and those that we can appropriately describe as merely instantiating causal physical or biological laws. In this paper the distinction is empirically grounded in a methodological criterion called the " cognitive impenetrability condition." Functions are said to be cognitively impenetrable if they cannot be influenced by such purely cognitive factors as goals, beliefs, inferences, tacit knowledge, and so on. Such a criterion makes it possible to empirically separate the fixed capacities of mind from the particular representations and algorithms used on specific occasions. In order for computational theories to avoid being ad hoc, they must deal effectively with the "degrees of freedom" problem by constraining the extent to which they can be arbitrarily adjusted post hoc to fit some particular set of observations. This in turn requires that the fixed architectural function and the algorithms be independently validated. It is argued that the architectural assumptions implicit in many contemporary models run afoul of the cognitive impenetrability condition, since the required fixed functions are demonstrably sensitive to tacit knowledge and goals. The paper concludes with some tactical suggestions for the development of computational cognitive theories. (shrink)

The distinction between mental illness and bodily illness would seem to presuppose some sort of distinction between mind and body. But dualist theories that the mind is a substance separable from the body, or that mental events could occur without any bodily events, raise ancient conceptual problems, which I do not propose to review here. What I want to do is to examine the psychiatric implications of materialist theories, which hold that the mind is the brain, or a function of (...) the brain. If all character has a basis in chemistry, can we still attribute some mental distress to character and some to chemistry, as if the two categories were different? (shrink)

In this paper, we describe causal powers realism as a conjunction of four claims: causal powers are not reducible to counterfactuals; they are empirically-discoverable; they manifest effects in conjunction with partners; and their manifestations empower further manifestations. We describe four challenges to extended mind theory and for each show how an ontology of causal powers realism either avoids or dissolves the problem. We close by suggesting that causal powers realism isn’t a competitor with extended mind theory but rather a new (...) way to understand what it means for minds to be extended. (shrink)

In The Metaphysics of Interpretation, I explore the ontological issues surrounding fictional characters, literary works, and literary interpretation. My central claim is that if one accepts a certain position on the ontology of fictional characters and literary works – artifactualism – then, under certain circumstances, the misinterpretation of a literary work will result in the full-fledged destruction of that work. Some related matters that are studied include: realism about fictional characters, artifactualism’s implications for the debate between textualism and constructivism, the (...) seeming temporal “gappiness” of literary works, and the question of validity in interpretation. (shrink)

In this paper we explain how the intentional objects of our mental states can be represented by the intensional objects of conceptual realism. We first briefly examine and show how Brentano’s actualist theory of judgment and his notion of an immanent object have a clear and natural representation in our conceptualist logic of names. We then briefly critically examine Meinong’s theory of objects before turning finally to our own representation of intentional objects in terms of the intensional objects of conceptual (...) realism. We conclude by explaining why existence-entailing concepts are so basic to our commonsense framework and how these concepts and their intensions can be used to model Meinong’s ontology. (shrink)