Proceedings

A Belief Representation for Understanding Deception

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Proceedings of the Seventh International Joint Conference on Artificial Intelligence. INFERENCE and REASONING. Pages 388-392.

Abstract

Identifying deception in stories requires an understanding of the beliefs of the characters. A model must include both beliefs about facts and beliefs about other characters. This paper presents a method for representing such belief structures. Arbitrary levels of embedded beliefs are represented by cyclic structures with shared common beliefs. With these str~s we show how different instances of deception can be recognized with a single deception template. We will illustrate these concepts by applying them to several example stories.

Gregory B. Taylor, and Stephen B. Whitehill. 1981. A Belief Representation for Understanding Deception. In Proceedings of the Seventh International Joint Conference on Artificial Intelligence, IJCAI-81. IJCAI, 388–392. https://ijcai.org/proceedings/1981/76
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