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AAMAS
2007
Springer
13 years 4 months ago
Searching for close alternative plans
Ariel Felner, Roni Stern, Jeffrey S. Rosenschein, ...
AAMAS
2007
Springer
13 years 4 months ago
Coordinating microscopic robots in viscous fluids
Multiagent control provides strategies for aggregating microscopic robots (“nanorobots”) in fluid environments relevant for medical applications. Unlike larger robots, viscou...
Tad Hogg
AAMAS
2007
Springer
13 years 4 months ago
Agent communication and social concepts
Frank Dignum, Rogier M. van Eijk
AAMAS
2007
Springer
13 years 4 months ago
Mechanisms for environments in multi-agent systems: Survey and opportunities
The environment has been recognized as an explicit and exploitable element to design Multi-Agent Systems (MAS). It can be assigned a number of responsibilities that would be more d...
Eric Platon, Marco Mamei, Nicolas Sabouret, Shinic...
AAMAS
2007
Springer
13 years 4 months ago
An algebra for commitment protocols
Protocols enable unambiguous, smooth interactions among agents. Commitments among agents are a powerful means of developing protocols. Commitments enable flexible execution of pro...
Ashok U. Mallya, Munindar P. Singh
AAMAS
2007
Springer
13 years 4 months ago
Modeling conversation policies using permissions and obligations
We describe our preliminary work in modeling conversation specifications and policies as positive/negative permissions and obligations. Our model is generic as it is independent o...
Lalana Kagal, Tim Finin
AAMAS
2007
Springer
13 years 4 months ago
Modeling dynamic environments in multi-agent simulation
Alexander Helleboogh, Giuseppe Vizzari, Adelinde U...
AAMAS
2007
Springer
13 years 4 months ago
Conversational semantics sustained by commitments
We propose an operational model that combines message meaning and conversational structure in one comprehensive approach. Our long-term research goal is to lay down principles unit...
Roberto A. Flores, Philippe Pasquier, Brahim Chaib...
AAMAS
2007
Springer
13 years 4 months ago
Parallel Reinforcement Learning with Linear Function Approximation
In this paper, we investigate the use of parallelization in reinforcement learning (RL), with the goal of learning optimal policies for single-agent RL problems more quickly by us...
Matthew Grounds, Daniel Kudenko
AAMAS
2007
Springer
13 years 6 months ago
To Adapt or Not to Adapt - Consequences of Adapting Driver and Traffic Light Agents
Ana L. C. Bazzan, Denise de Oliveira, Franziska Kl...