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The affordance-based concept

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dc.contributor.advisor Deb K. Roy. en_US
dc.contributor.author Gorniak, Peter John en_US
dc.contributor.other Massachusetts Institute of Technology. Dept. of Architecture. Program In Media Arts and Sciences en_US
dc.date.accessioned 2008-02-28T16:18:41Z
dc.date.available 2008-02-28T16:18:41Z
dc.date.copyright 2005 en_US
dc.date.issued 2005 en_US
dc.identifier.uri http://dspace.mit.edu/handle/1721.1/33884 en_US
dc.identifier.uri http://hdl.handle.net/1721.1/33884
dc.description Thesis (Ph. D.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2005. en_US
dc.description Includes bibliographical references (p. 89-95). en_US
dc.description.abstract Natural language use relies on situational context. The meaning of words and utterances depend on the physical environment and the goals and plans of communication partners. These facts should be central to theories of language and automatic language understanding systems. Instead, they are often ignored, leading to partial theories and systems that cannot fully interpret linguistic meaning. I introduce a new computational theory of conceptual structure that has as its core claim that concepts are neither internal nor external to the language user, but instead span the objective-subjective boundary. This theory proposes interaction and prediction as a central theme, rather than solely emphasizing deducing, sensing or acting. To capture the possible interactions between subject and object, the theory relies on the notion of perceived affordances: structured units of interaction that can be used for prediction at certain levels of abstraction. By using perceived affordances as a basis for language understanding, the theory accounts for many aspects of the situated nature of human language use. It provides a unified solution to a number of other demands on a theory of language understanding including conceptual combination, prototypicality effects, and the generative nature of lexical items. en_US
dc.description.abstract (cont.) To support the theory, I describe an implementation that relies on probabilistic hierarchical plan recognition to predict possible interactions. The elements of a recognized plan provide an instance of perceived affordances which are used by a linguistic parser to ground the meaning of words and grammatical constituents. Evaluations performed in a multiuser role playing game environment show that this implementation captures the meaning of free-form spontaneous directive speech acts that cannot be understood without taking into account the intentional and physical situation of speaker and listener. en_US
dc.description.statementofresponsibility by Peter John Gorniak. en_US
dc.format.extent 95 p. en_US
dc.language.iso eng en_US
dc.publisher Massachusetts Institute of Technology en_US
dc.rights M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. en_US
dc.rights.uri http://dspace.mit.edu/handle/1721.1/33884 en_US
dc.rights.uri http://dspace.mit.edu/handle/1721.1/7582
dc.subject Architecture. Program In Media Arts and Sciences en_US
dc.title The affordance-based concept en_US
dc.type Thesis en_US
dc.description.degree Ph.D. en_US
dc.contributor.department Massachusetts Institute of Technology. Dept. of Architecture. Program In Media Arts and Sciences en_US
dc.identifier.oclc 66465016 en_US


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