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dc.contributor.advisor Schmitt, Frederick en_US
dc.contributor.advisor Allen, Colin en_US
dc.contributor.author Demir, Hilmi M. en_US
dc.date.accessioned 2010-06-01T17:58:16Z
dc.date.available 2027-02-01T18:58:17Z
dc.date.available 2010-06-09T14:15:46Z
dc.date.issued 2010-06-01T17:58:16Z
dc.date.submitted 2006 en_US
dc.identifier.uri http://hdl.handle.net/2022/7267
dc.description Thesis (PhD) - Indiana University, Philosophy, 2006 en_US
dc.description.abstract In this dissertation, I develop a probabilistic theory of mental content that accounts for fundamental properties of mental representation. The theory that I develop falls under the category of causal/informational approaches. In contemporary philosophy, causal/informational approaches for explaining mental representation have been around since the 1950s. The main success of these approaches is to explain the link between the external world and mental entities. On the other hand, it turns out that accounting for misrepresentation cases presents an insurmountable problem for these approaches. The probabilistic theory that I develop keeps the positive features of causal/informational approaches and provides grounds for solving the problem of misrepresentation. The theory that I offer heavily draws from Dretske's 1981 framework. His framework borrows some notions such as entropy from Shannon & Weaver's Mathematical Theory of Communication which is a very successful formalism for engineering purposes. Dretske tries to explain mental representation, belief and knowledge by using the notion of informational content. Despite all of its appeals, however, the problem of misrepresentation also afflicts his framework. In this dissertation, I identify the reasons that cause problems in Dretske's framework. Identifying these reasons provides enough grounds for solving the problem of misrepresentation in the theory that I construct. I claim that the theory that I offer not only solves the problem of misrepresentation but also provides a research program for Cognitive Science and Neuroscience. en_US
dc.language.iso EN en_US
dc.publisher [Bloomington, Ind.] : Indiana University en_US
dc.rights This work is licensed under the Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 Unported License. en
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/ en
dc.subject Animal's Perspective en_US
dc.subject Information en_US
dc.subject Unconscious Inference en_US
dc.subject Naturalism en_US
dc.subject Misrepresentation en_US
dc.subject Minimal Inconsistency en_US
dc.subject.classification Philosophy en_US
dc.subject.classification Canadian Studies en_US
dc.title Error Comes With Imagination: A Probabilistic Theory of Mental Content en_US
dc.type Doctoral Dissertation en_US


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This work is licensed under the Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 Unported License. This work is licensed under the Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 Unported License.

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