Modeling Agents Through Bounded Rationality Theories
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
Cite
Text
Rosenfeld and Kraus. "Modeling Agents Through Bounded Rationality Theories." International Joint Conference on Artificial Intelligence, 2009.Markdown
[Rosenfeld and Kraus. "Modeling Agents Through Bounded Rationality Theories." International Joint Conference on Artificial Intelligence, 2009.](https://mlanthology.org/ijcai/2009/rosenfeld2009ijcai-modeling/)BibTeX
@inproceedings{rosenfeld2009ijcai-modeling,
title = {{Modeling Agents Through Bounded Rationality Theories}},
author = {Rosenfeld, Avi and Kraus, Sarit},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2009},
pages = {264-271},
url = {https://mlanthology.org/ijcai/2009/rosenfeld2009ijcai-modeling/}
}