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ECAI
2000
Springer
13 years 9 months ago
Achieving Coordination through Combining Joint Planning and Joint Learning
There are two major approaches to activity coordination in multiagent systems. First, by endowing the agents with the capability to jointly plan, that is, to jointly generate hypot...
Gerhard Weiss
AGENTS
2000
Springer
13 years 9 months ago
Planning and learning together
This paper describes a novel algorithm for activity coordination in multiagent systems that combines joint planning and joint learning. The basic idea underlying this algorithm is...
Gerhard Weiß
CAV
2010
Springer
185views Hardware» more  CAV 2010»
13 years 4 months ago
Achieving Distributed Control through Model Checking
Abstract. We apply model checking of knowledge properties to the design of distributed controllers that enforce global constraints on concurrent systems. We calculate when processe...
Susanne Graf, Doron Peled, Sophie Quinton
ATAL
2010
Springer
13 years 5 months ago
Learning multirobot joint action plans from simultaneous task execution demonstrations
The central problem of designing intelligent robot systems which learn by demonstrations of desired behaviour has been largely studied within the field of robotics. Numerous archi...
Murilo Fernandes Martins, Yiannis Demiris
AI
2006
Springer
13 years 8 months ago
Satisfaction Equilibrium: Achieving Cooperation in Incomplete Information Games
So far, most equilibrium concepts in game theory require that the rewards and actions of the other agents are known and/or observed by all agents. However, in real life problems, a...
Stéphane Ross, Brahim Chaib-draa