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  1. Semantics Naturalized: Propositional Indexing Plus Interactive Perception.John Dilworth - 2009 - Language and Communication 29 (1):1-25.
    A concrete proposal is presented as to how semantics should be naturalized. Rather than attempting to naturalize propositions, they are treated as abstract entities that index concrete cognitive states. In turn the relevant concrete cognitive states are identified via perceptual classifications of worldly states, with the aid of an interactive theory of perception. The approach enables a broadly realist theory of propositions, truth and cognitive states to be preserved, with propositions functioning much as abstract mathematical constructs do in the nonsemantic (...)
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  • A Reflexive Dispositional Analysis of Mechanistic Perception.John Dilworth - 2006 - Minds and Machines 16 (4):479-493.
    The field of machine perception is based on standard informational and computational approaches to perception. But naturalistic informational theories are widely regarded as being inadequate, while purely syntactic computational approaches give no account of perceptual content. Thus there is a significant need for a novel, purely naturalistic perceptual theory not based on informational or computational concepts, which could provide a new paradigm for mechanistic perception. Now specifically evolutionary naturalistic approaches to perception have been—perhaps surprisingly—almost completely neglected for this purpose. Arguably (...)
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  • More on the Interactive Indexing Semantic Theory.John Dilworth - 2010 - Minds and Machines 20 (3):455-474.
    This article further explains and develops a recent, comprehensive semantic naturalization theory, namely the interactive indexing (II) theory as described in my 2008 Minds and Machines article Semantic Naturalization via Interactive Perceptual Causality (Vol. 18, pp. 527–546). Folk views postulate a concrete intentional relation between cognitive states and the worldly states they are about. The II theory eliminates any such concrete intentionality, replacing it with purely causal relations based on the interactive theory of perception. But intentionality is preserved via purely (...)
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  • Realistic Virtual Reality and Perception.John Dilworth - 2010 - Philosophical Psychology 23 (1):23-42.
    Realistic uses of Virtual Reality technology closely integrate user training on virtual objects with VR-assisted user interactions with real objects. This paper shows how the Interactive Theory of Perception may be extended to cover such cases. Virtual objects are explained as concrete models that have an inner generation mechanism, and the ITP is used to explain how VR users can both perceive such local CMs, and perceptually represent remote real objects. Also, concepts of modeling and representation are distinguished. The paper (...)
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  • Semantic Naturalization Via Interactive Perceptual Causality.John Dilworth - 2008 - Minds and Machines 18 (4):527-546.
    A novel semantic naturalization program is proposed. Its three main differences from informational semantics approaches are as follows. First, it makes use of a perceptually based, four-factor interactive causal relation in place of a simple nomic covariance relation. Second, it does not attempt to globally naturalize all semantic concepts, but instead it appeals to a broadly realist interpretation of natural science, in which the concept of propositional truth is off-limits to naturalization attempts. And third, it treats all semantic concepts as (...)
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  • The Reflexive Theory of Perception.John Dilworth - 2005 - Behavior and Philosophy 33 (1):17-40.
    ABSTRACT: The Reflexive Theory of Perception (RTP) claims that perception of an object or property X by an organism Z consists in Z being caused by X to acquire some disposition D toward X itself. This broadly behavioral perceptual theory explains perceptual intentionality and correct versus incorrect, plus successful versus unsuccessful, perception in a plausible evolutionary framework. The theory also undermines cognitive and perceptual modularity assumptions, including informational or purely epistemic views of perception in that, according to the RTP, any (...)
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  • Perception, Introspection, and Functional Consonance.John Dilworth - 2006 - Theoria 72 (4):299-318.
    What is the relation between a perceptual experience of an object X as being red, and one's belief, if any, as to the nature of that experience? A traditional Cartesian view would be that, if indeed object X does seem to be red to oneself, then one's resulting introspective belief about it could only be a _conforming _belief, i.e., a belief that X perceptually seems to be _red _to oneself--rather than, for instance, a belief that X perceptually seems to be (...)
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  • Conscious Perceptual Experience as Representational Self-Prompting.John Dilworth - 2007 - Journal of Mind and Behavior 28 (2):135-156.
    Journal of Mind and Behavior 28 no. 2 , pp. 135-156. The self-prompting theory of consciousness holds that conscious perceptual experience occurs when non-routine perceptual data prompt the activation of a plan in an executive control system that monitors perceptual input. On the other hand, routine, non-conscious perception merely provides data about the world, which indicatively describes the world correctly or incorrectly. Perceptual experience instead involves data that are about the perceiver, not the world. Their function is that of imperatively (...)
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  • Perceptual Causality Problems Reflexively Resolved.John Dilworth - 2005 - Acta Analytica 20 (3):11-31.
    Causal theories of perception typically have problems in explaining deviant causal chains. They also have difficulty with other unusual putative cases of perception involving prosthetic aids, defective perception, scientifically extended cases of perception, and so on. But I show how a more adequate reflexive causal theory, in which objects or properties X cause a perceiver to acquire X-related dispositions toward that very same item X, can provide a plausible and principled perceptual explanation of all of these kinds of cases. A (...)
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