Barnyard politics : a decision rationale representation for the analysis of simple political situations

Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003.

Bibliographic Details
Main Author: Shahdadi, Arian, 1980-
Other Authors: Patrick H. Winston.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2005
Subjects:
Online Access:http://hdl.handle.net/1721.1/18031
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author Shahdadi, Arian, 1980-
author2 Patrick H. Winston.
author_facet Patrick H. Winston.
Shahdadi, Arian, 1980-
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description Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003.
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spelling mit-1721.1/180312019-04-10T14:35:26Z Barnyard politics : a decision rationale representation for the analysis of simple political situations Shahdadi, Arian, 1980- Patrick H. Winston. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003. Includes bibliographical references (leaf 101). How can a computational system understand decisions in the domain of politics? In order to build computational systems that understand decisions in the abstract political space, we must first understand human decision-making and how human beings, in turn, are able to understand ideas in abstract realms such as politics. The work of Jintae Lee attempted to address the problem of understanding decision rationales in a non-domain specific way. His work falls short, however, when applied to decision problems in politics. I present a new representation, the Augmented Decision Rationale Language (ADRL) that attempts to address the shortcomings of Lee's work in this regard. ADRL expands Lee's vocabulary of relations to include forms of causation such as enablement and gating. ADRL also refines the relations and primitives of Lee's representation and focuses primarily on States, Actions and Goals as the basic units of decisions. Finally, ADRL grounds itself in spatial understanding using the Lexical Conceptual Semantics of Jackendoff, in contrast to the DRL, which ignores the text associated with a decision rationale. An implementation of a subset of this representation is displayed, along with a matcher that is able to create analogies between two decision scenarios cast in the representation. The matcher is presented an existence proof that this representation can be used to readily structure decision scenarios and make analogies between them. by Arian Shahdadi. M.Eng. 2005-06-02T19:42:09Z 2005-06-02T19:42:09Z 2003 2003 Thesis http://hdl.handle.net/1721.1/18031 57241319 eng 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. http://dspace.mit.edu/handle/1721.1/7582 101 leaves 4961843 bytes 4973671 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology
spellingShingle Electrical Engineering and Computer Science.
Shahdadi, Arian, 1980-
Barnyard politics : a decision rationale representation for the analysis of simple political situations
title Barnyard politics : a decision rationale representation for the analysis of simple political situations
title_full Barnyard politics : a decision rationale representation for the analysis of simple political situations
title_fullStr Barnyard politics : a decision rationale representation for the analysis of simple political situations
title_full_unstemmed Barnyard politics : a decision rationale representation for the analysis of simple political situations
title_short Barnyard politics : a decision rationale representation for the analysis of simple political situations
title_sort barnyard politics a decision rationale representation for the analysis of simple political situations
topic Electrical Engineering and Computer Science.
url http://hdl.handle.net/1721.1/18031
work_keys_str_mv AT shahdadiarian1980 barnyardpoliticsadecisionrationalerepresentationfortheanalysisofsimplepoliticalsituations