A Belief Representation for Understanding Deception
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.
@inproceedings{ijcai1981p76,
title = {A Belief Representation for Understanding Deception},
author = {Taylor, Gregory B. and Whitehill, Stephen B.},
booktitle = {Proceedings of the Seventh International Joint Conference on
Artificial Intelligence, {IJCAI-81}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Roger C. Schank},
pages = {388--392},
year = {1981},
month = {8},
note = {INFERENCE and REASONING},
url = {https://ijcai.org/proceedings/1981/76},
}
TY - CPAPER TI - A Belief Representation for Understanding Deception AU - Taylor, Gregory B. AU - Whitehill, Stephen B. T2 - Proceedings of the Seventh International Joint Conference on Artificial Intelligence, IJCAI-81 PB - International Joint Conferences on Artificial Intelligence PY - 1981 SP - 388 EP - 392 UR - https://ijcai.org/proceedings/1981/76 ER -Copied
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