A Computational Theory of Belief Introspection
Proceedings of the Ninth International Joint Conference on Artificial Intelligence. Knowledge Representation. Pages 502-507.
Abstract
Introspection is a general term covering the ability of an agent to reflect upon the workings of his own cognitive fun ctions. In this paper we will be concerned with devel· oping an explanatory theory of a particular type of intro· spection: a robot agent 's knowledge of his own beliefs. The d eve lopment is both descriptive, in the sense of being able to capture introspective behavior as it exist; and prescrip· tive, in yielding an effective means of adding introspective reasoning abilities to robot agents.
@inproceedings{ijcai1985p96,
title = {A Computational Theory of Belief Introspection},
author = {Konolige, Kurt},
booktitle = {Proceedings of the Ninth International Joint Conference on
Artificial Intelligence, {IJCAI-85}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Aravind Joshi},
pages = {502--507},
year = {1985},
note = {Knowledge Representation},
url = {https://ijcai.org/proceedings/1985/96},
}
TY - CPAPER TI - A Computational Theory of Belief Introspection AU - Konolige, Kurt T2 - Proceedings of the Ninth International Joint Conference on Artificial Intelligence, IJCAI-85 PB - International Joint Conferences on Artificial Intelligence PY - 1985 SP - 502 EP - 507 UR - https://ijcai.org/proceedings/1985/96 ER -Copied
Machine-readable versions of this paper, for tools and AI agents:
