A Decision-Theoretic Approach to Coordinating Multi-agent Interactions
Proceedings of the Twelfth International Joint Conference on Artificial Intelligence. Architectures & Languages. Pages 62-67.
Abstract
We describe a decision-theoretic method that an autonomous agent can use to model multiagent situations and behave rationally based on its model. Our approach, which we call the Recursive Modeling Method, explicitly accounts for the recursive nature of multiagent reasoning. Our method lets an agent recursively model another agent's decisions based on probabilistic views of how that agent perceives the multiagent situation, which in turn are derived from hypothesizing how that other agent perceives the initial agent's possible decisions, and so on. Further, we show how the possibility of multiple interactions can affect the decisions of agents, allowing cooperative behavior to emerge as a rational choice of selfish agents that otherwise might behave uncooperatively.
@inproceedings{ijcai1991p10,
title = {A Decision-Theoretic Approach to Coordinating Multi-agent Interactions},
author = {Gmytrasiewicz, Piotr J. and Durfee, Edmund H. and Wehe, David K.},
booktitle = {Proceedings of the Twelfth International Joint Conference on
Artificial Intelligence, {IJCAI-91}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {John Mylopoulos and Ray Reiter},
pages = {62--67},
year = {1991},
month = {8},
note = {Architectures & Languages},
url = {https://ijcai.org/proceedings/1991/10},
}
TY - CPAPER TI - A Decision-Theoretic Approach to Coordinating Multi-agent Interactions AU - Gmytrasiewicz, Piotr J. AU - Durfee, Edmund H. AU - Wehe, David K. T2 - Proceedings of the Twelfth International Joint Conference on Artificial Intelligence, IJCAI-91 PB - International Joint Conferences on Artificial Intelligence PY - 1991 SP - 62 EP - 67 UR - https://ijcai.org/proceedings/1991/10 ER -Copied
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