Name
Abstract | ||
|---|---|---|
Negotiations are very important in a multiagent environment, particularly, in an environment where there are conflicts between the agents, and cooperation would be beneficial. We have developed a general structure for a Negotiating Automated Agent that consists of five modules: a Prime Minister, a Ministry of Defense, a Foreign Office, a Headquarters and Intelligence. These modules are implemented using a dynamic set of local agents belonging to the different modules. We used this structure to develop a Diplomacy player, Diplomat. Playing Diplomacy involves a certain amount of technical skills as in other board games, but the capacity to negotiate, explain, convince, promise, keep promises or break them, is an essential ingredient in good play. Diplomat was evaluated and consistently played better than human players. |
Year | DOI | Venue |
|---|---|---|
1995 | 10.1111/j.1467-8640.1995.tb00026.x | COMPUTATIONAL INTELLIGENCE |
Keywords | Field | DocType |
AUTOMATED NEGOTIATIONS, MULTIAGENT ENVIRONMENT, GAME PLAYING, LOCAL AGENTS, DIPLOMACY | Prime (order theory),Christian ministry,Computer science,Computer security,Game theory,Artificial intelligence,Diplomacy,Machine learning,Game playing,Negotiation | Journal |
Volume | Issue | ISSN |
11 | 1 | 0824-7935 |
Citations | PageRank | References |
50 | 8.42 | 17 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sarit Kraus | 1 | 6810 | 768.04 |
| Daniel J. Lehmann | 2 | 1270 | 330.79 |