62 search results - page 2 / 13 » Evolving explicit opponent models in game playing |
AIIDE
2009
13 years 5 months ago
2009
Although in theory opponent modeling can be useful in any adversarial domain, in practice it is both difficult to do accurately and to use effectively to improve game play. In thi...
ACSC
2004
IEEE
13 years 8 months ago
2004
IEEE
Table 1 shows the payoff to player one. The same matrix also holds for player two. Player one can gain the maximum 5 points (T = 5) by defection if player two cooperates. However,...
AAAI
2006
13 years 6 months ago
2006
In a team-based multiagent system, the ability to construct a model of an opponent team's joint behavior can be useful for determining an agent's expected distribution o...
ACG
2003
Springer
13 years 10 months ago
2003
Springer
Abstract Opponent-Model search is a game-tree search method that explicitly uses knowledge of the opponent. There is some risk involved in using Opponent-Model search. Both the pre...
AAAI
1998
13 years 6 months ago
1998
Poker is an interesting test-bed for artificial intelligence research. It is a game of imperfect knowledge, where multiple competing agents must deal with risk management, agent m...