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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 32

Computational Results for Extensive-Form Adversarial Team Games

March 15, 2023

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Published Date: 2018-02-08

Registration: ISSN 2374-3468 (Online) ISSN 2159-5399 (Print)

Copyright: Published by AAAI Press, Palo Alto, California USA Copyright © 2018, Association for the Advancement of Artificial Intelligence All Rights Reserved.

Authors

Andrea Celli

Politecnico di Milano


Nicola Gatti

Politecnico di Milano


DOI:

10.1609/aaai.v32i1.11462


Abstract:

We provide, to the best of our knowledge, the first computational study of extensive-form adversarial team games. These games are sequential, zero-sum games in which a team of players, sharing the same utility function, faces an adversary. We define three different scenarios according to the communication capabilities of the team. In the first, the teammates can communicate and correlate their actions both before and during the play. In the second, they can only communicate before the play. In the third, no communication is possible at all. We define the most suitable solution concepts, and we study the inefficiency caused by partial or null communication, showing that the inefficiency can be arbitrarily large in the size of the game tree. Furthermore, we study the computational complexity of the equilibrium-finding problem in the three scenarios mentioned above, and we provide, for each of the three scenarios, an exact algorithm. Finally, we empirically evaluate the scalability of the algorithms in random games and the inefficiency caused by partial or null communication.

Topics: AAAI

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HOW TO CITE:

Andrea Celli||Nicola Gatti Computational Results for Extensive-Form Adversarial Team Games Proceedings of the AAAI Conference on Artificial Intelligence, 32 (2018) .

Andrea Celli||Nicola Gatti Computational Results for Extensive-Form Adversarial Team Games AAAI 2018, .

Andrea Celli||Nicola Gatti (2018). Computational Results for Extensive-Form Adversarial Team Games. Proceedings of the AAAI Conference on Artificial Intelligence, 32, .

Andrea Celli||Nicola Gatti. Computational Results for Extensive-Form Adversarial Team Games. Proceedings of the AAAI Conference on Artificial Intelligence, 32 2018 p..

Andrea Celli||Nicola Gatti. 2018. Computational Results for Extensive-Form Adversarial Team Games. "Proceedings of the AAAI Conference on Artificial Intelligence, 32". .

Andrea Celli||Nicola Gatti. (2018) "Computational Results for Extensive-Form Adversarial Team Games", Proceedings of the AAAI Conference on Artificial Intelligence, 32, p.

Andrea Celli||Nicola Gatti, "Computational Results for Extensive-Form Adversarial Team Games", AAAI, p., 2018.

Andrea Celli||Nicola Gatti. "Computational Results for Extensive-Form Adversarial Team Games". Proceedings of the AAAI Conference on Artificial Intelligence, 32, 2018, p..

Andrea Celli||Nicola Gatti. "Computational Results for Extensive-Form Adversarial Team Games". Proceedings of the AAAI Conference on Artificial Intelligence, 32, (2018): .

Andrea Celli||Nicola Gatti. Computational Results for Extensive-Form Adversarial Team Games. AAAI[Internet]. 2018[cited 2023]; .


ISSN: 2374-3468


Published by AAAI Press, Palo Alto, California USA
Copyright 2022, Association for the Advancement of
Artificial Intelligence 1900 Embarcadero Road, Suite
101, Palo Alto, California 94303 All Rights Reserved

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