45 search results - page 2 / 9 » Learning Human-Like Opponent Behavior for Interactive Comput... |
AAMAS
2005
Springer
13 years 5 months ago
2005
Springer
Agents in a competitive interaction can greatly benefit from adapting to a particular adversary, rather than using the same general strategy against all opponents. One method of s...
ATAL
2010
Springer
13 years 6 months ago
2010
Springer
Planning how to interact against bounded memory and unbounded memory learning opponents needs different treatment. Thus far, however, work in this area has shown how to design pla...
AAMAS
2002
Springer
13 years 5 months ago
2002
Springer
Abstract. Open systems are becoming increasingly important in a variety of distributed, networked computer applications. Their characteristics, such as agent diversity, heterogenei...
JDCTA
2010
13 years 3 days ago
2010
To gain insights into the neural basis of such adaptive decision-making processes, we investigated the nature of learning process in humans playing a competitive game with binary ...
AAAI
1996
13 years 6 months ago
1996
Agents that operate in a multi-agent system need an efficient strategy to handle their encounters with other agents involved. Searching for an optimal interactive strategy is a ha...