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AAMAS
2002
Springer
13 years 4 months ago
Multiagent Learning for Open Systems: A Study in Opponent Classification
Abstract. Open systems are becoming increasingly important in a variety of distributed, networked computer applications. Their characteristics, such as agent diversity, heterogenei...
Michael Rovatsos, Gerhard Weiß, Marco Wolf
ATAL
2011
Springer
12 years 4 months ago
Using iterated reasoning to predict opponent strategies
The field of multiagent decision making is extending its tools from classical game theory by embracing reinforcement learning, statistical analysis, and opponent modeling. For ex...
Michael Wunder, Michael Kaisers, John Robert Yaros...
IJMMS
1998
74views more  IJMMS 1998»
13 years 4 months ago
Towards collaborative and adversarial learning: a case study in robotic soccer
Soccer is a rich domain for the study of multiagent learning issues. Not only must the players learn low-level skills, but they must also learn to work together and to adapt to th...
Peter Stone, Manuela M. Veloso
ATAL
2005
Springer
13 years 10 months ago
Modeling opponent decision in repeated one-shot negotiations
In many negotiation and bargaining scenarios, a particular agent may need to interact repeatedly with another agent. Typically, these interactions take place under incomplete info...
Sabyasachi Saha, Anish Biswas, Sandip Sen
UIST
2006
ACM
13 years 10 months ago
Using a low-cost electroencephalograph for task classification in HCI research
Modern brain sensing technologies provide a variety of methods for detecting specific forms of brain activity. In this paper, we present an initial step in exploring how these tec...
Johnny Chung Lee, Desney S. Tan