ALDT
2011
Springer
12 years 11 months ago
2011
Springer
Security and sustainability are two critical global challenges that involve the interaction of many intelligent actors. Game theory provides a sound mathematical framework to model...
CORR
2010
Springer
13 years 6 months ago
2010
Springer
An important task in the analysis of multiagent systems is to understand how groups of selfish players can form coalitions, i.e., work together in teams. In this paper, we study t...
AI
2010
Springer
13 years 8 months ago
2010
Springer
How do we build algorithms for agent interactions with human adversaries? Stackelberg games are natural models for many important applications that involve human interaction, such...
AIPS
2008
14 years 1 months ago
2008
We address the problem of coordinating the plans and schedules for a team of agents in an uncertain and dynamic environment. Bounded rationality, bounded communication, subjectivi...
AAAI
2007
14 years 1 months ago
2007
In auction theory, agents are typically presumed to have perfect knowledge of their valuations. In practice, though, they may face barriers to this knowledge due to transaction co...
AIMSA
2004
Springer
14 years 2 months ago
2004
Springer
Multi-agent reinforcement learning (MARL) is an emerging area of research. However, it lacks two important elements: a coherent view on MARL, and a well-defined problem objective. ...