Representation can be critical in enabling agents to interact effectively. Alternative methods for representing and reasoning about the world can radically affect the ability of agents to reach cooperative solutions. Focal points are examined as a particularly compelling example of the importance of representation; we consider the algorithms that might be used by resource-constrained agents in discovering prominent solutions of their interaction
This volume presents extended and revised versions of the papers presented at the Third Internationa...
Multiagent systems provide a natural, intuitive model for a wide array of real world problems, where...
A problem of action selection emerges in complex — and even not so complex — interactive agents: Wha...
Research in the domain of multi-agent systems (MAS) is becoming more and more important because of t...
A multi-agent system consists of a collection of agents that interact with each other to fulfil thei...
International audienceThe modern field of multiagent systems has developed from two main lines of ea...
Although many researchers feel that an autonomous system, capable of behaving appropriately in an un...
Contains fulltext : 64585.pdf (publisher's version ) (Closed access)Third Internat...
Dynamic environments pose multiple problems for autonomous agents. Traditionally, agents were design...
Over the past few years, artificial intelligence (AI) has achieved great success in a variety of app...
The issue that is addressed in this paper concerns the way interacting agents should understand thei...
Human organizations and computational multiagent systems both are social systems because they are bo...
... aims at periodically bringing together researchers to discuss techniques, based on computational...
"Autonomous agents and multi-agent systems have grown into a promising technology offering a credibl...
Human organizations and computational multiagent systems both are social systems because they are bo...
This volume presents extended and revised versions of the papers presented at the Third Internationa...
Multiagent systems provide a natural, intuitive model for a wide array of real world problems, where...
A problem of action selection emerges in complex — and even not so complex — interactive agents: Wha...
Research in the domain of multi-agent systems (MAS) is becoming more and more important because of t...
A multi-agent system consists of a collection of agents that interact with each other to fulfil thei...
International audienceThe modern field of multiagent systems has developed from two main lines of ea...
Although many researchers feel that an autonomous system, capable of behaving appropriately in an un...
Contains fulltext : 64585.pdf (publisher's version ) (Closed access)Third Internat...
Dynamic environments pose multiple problems for autonomous agents. Traditionally, agents were design...
Over the past few years, artificial intelligence (AI) has achieved great success in a variety of app...
The issue that is addressed in this paper concerns the way interacting agents should understand thei...
Human organizations and computational multiagent systems both are social systems because they are bo...
... aims at periodically bringing together researchers to discuss techniques, based on computational...
"Autonomous agents and multi-agent systems have grown into a promising technology offering a credibl...
Human organizations and computational multiagent systems both are social systems because they are bo...
This volume presents extended and revised versions of the papers presented at the Third Internationa...
Multiagent systems provide a natural, intuitive model for a wide array of real world problems, where...
A problem of action selection emerges in complex — and even not so complex — interactive agents: Wha...