Modeling Agents through Bounded Rationality Theories
Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence. Pages 264-270.
Abstract
Effectively modeling an agent's cognitive model is an important problem in many domains. In this paper, we explore the agents people wrote to operate within optimization problems. We claim that the overwhelming majority of these agents used strategies based on bounded rationality, even when optimal solutions could have been implemented. Particularly, we believe that many elements from Aspiration Adaptation Theory (AAT) are useful in quantifying these strategies. To support these claims, we present extensive empirical results from over a hundred agents programmed to perform in optimization problems involving solving for one and two variables.Avi Rosenfeld, Sarit Kraus
@inproceedings{ijcai2009p53,
title = {Modeling Agents through Bounded Rationality Theories},
author = {Rosenfeld, Avi and Kraus, Sarit},
booktitle = {Proceedings of the Twenty-First International Joint Conference on
Artificial Intelligence, {IJCAI-09}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Hiroaki Kitano},
pages = {264--270},
year = {2009},
url = {https://ijcai.org/proceedings/2009/53},
}
TY - CPAPER TI - Modeling Agents through Bounded Rationality Theories AU - Rosenfeld, Avi AU - Kraus, Sarit T2 - Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence, IJCAI-09 PB - International Joint Conferences on Artificial Intelligence PY - 2009 SP - 264 EP - 270 UR - https://ijcai.org/proceedings/2009/53 ER -Copied
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