Abstract
Interacting with an opponent is a fundamental concern in multiagent systems. In this work, we consider ways in which an agent can manipulate an opponent to adopt a preferred strategy. This difficult problem is often further complicated by the difficulty of analyzing the game. We have developed the Gift Exchange game, a sequential game that is deliberately simplified to focus on how to interact with an opponent. In this paper we describe the game and discuss different methods an agent might use to influence its opponent to select a preferred action. We show results from using simulated annealing to find optimal strategies to use against a learning opponent.
| Original language | English (US) |
|---|---|
| Title of host publication | 18th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2019 |
| Publisher | International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS) |
| Pages | 1913-1915 |
| Number of pages | 3 |
| ISBN (Electronic) | 9781510892002 |
| State | Published - 2019 |
| Event | 18th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2019 - Montreal, Canada Duration: May 13 2019 → May 17 2019 |
Publication series
| Name | Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS |
|---|---|
| Volume | 4 |
| ISSN (Print) | 1548-8403 |
| ISSN (Electronic) | 1558-2914 |
Conference
| Conference | 18th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2019 |
|---|---|
| Country/Territory | Canada |
| City | Montreal |
| Period | 5/13/19 → 5/17/19 |
Bibliographical note
Publisher Copyright:© 2019 International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved.
Keywords
- Cooperation
- Non-stationary opponents
- Repeated sequential games