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Sarcasm, Deception, and Stating the Obvious: Planning Dialogue without Speech Acts

Sarcasm, Deception, and Stating the Obvious: Planning Dialogue without Speech Acts This paper presents an alternative to the ‘speech acts with STRIPS’ approach to implementing dialogue a fully implemented AI planner which generates and analyses the semantics of utterances using a single linguistic act for all contexts. Using this act, the planner can model problematic conversational situations, including felicitous and infelicitous instances of bluffing, lying, sarcasm, and stating the obvious. The act has negligible effects, and its precondition can always be proved. ‘Speaker maxims’ enable the speaker to plan to deceive, as well as to generate implicatures, while ‘hearer maxims’ enable the hearer to recognise deceptions, and interpret implicatures. The planner proceeds by achieving parts of the constructive proof of a goal. It incorporates an epistemic theorem prover, which embodies a deduction model of belief, and a constructive logic. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Artificial Intelligence Review Springer Journals

Sarcasm, Deception, and Stating the Obvious: Planning Dialogue without Speech Acts

Artificial Intelligence Review , Volume 22 (2) – Mar 22, 2004

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References (44)

Publisher
Springer Journals
Copyright
Copyright © 2004 by Kluwer Academic Publishers
Subject
Computer Science; Artificial Intelligence (incl. Robotics); Computer Science, general
ISSN
0269-2821
eISSN
1573-7462
DOI
10.1007/s10462-004-4307-8
Publisher site
See Article on Publisher Site

Abstract

This paper presents an alternative to the ‘speech acts with STRIPS’ approach to implementing dialogue a fully implemented AI planner which generates and analyses the semantics of utterances using a single linguistic act for all contexts. Using this act, the planner can model problematic conversational situations, including felicitous and infelicitous instances of bluffing, lying, sarcasm, and stating the obvious. The act has negligible effects, and its precondition can always be proved. ‘Speaker maxims’ enable the speaker to plan to deceive, as well as to generate implicatures, while ‘hearer maxims’ enable the hearer to recognise deceptions, and interpret implicatures. The planner proceeds by achieving parts of the constructive proof of a goal. It incorporates an epistemic theorem prover, which embodies a deduction model of belief, and a constructive logic.

Journal

Artificial Intelligence ReviewSpringer Journals

Published: Mar 22, 2004

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