Name
Abstract | ||
|---|---|---|
Attempts to develop generic approaches to game playing have been around for several years in the field of Artificial Intelligence. However, games that involve explicit cooperation among otherwise competitive players - cooperative negotiation games - have not been addressed by current approaches. Yet, such games provide a much richer set of features, related with social aspects of interactions, which make them appealing for envisioning real-world applications. This work proposes a generic agent architecture - Alpha - to tackle cooperative negotiation games, combining elements such as search strategies, negotiation, opponent modeling and trust management. The architecture is then validated in the context of two different games that fall in this category Diplomacy and Werewolves. Alpha agents are tested in several scenarios, against other state-of-the-art agents. Besides highlighting the promising performance of the agents, the role of each architectural component in each game is assessed. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1007/978-3-319-78301-7_8 | Lecture Notes in Computer Science |
Keywords | Field | DocType |
Multi-agent systems,Cooperative games,General game playing,Negotiation,Strategy,Opponent modeling | Werewolves,Architecture,Computer science,Agent architecture,Multi-agent system,Human–computer interaction,General game playing,Adversary,Diplomacy,Negotiation | Journal |
Volume | ISSN | Citations |
10780 | 0302-9743 | 1 |
PageRank | References | Authors |
0.40 | 9 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| João Marinheiro | 1 | 1 | 0.40 |
| Henrique Lopes Cardoso | 2 | 223 | 34.02 |