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ROBOCUP
2001
Springer
96views Robotics» more  ROBOCUP 2001»
13 years 12 months ago
Strategy Learning for a Team in Adversary Environments
Team strategy acquisition is one of the most important issues of multiagent systems, especially in an adversary environment. RoboCup has been providing such an environment for AI a...
Yasutake Takahashi, Takashi Tamura, Minoru Asada
ATAL
2007
Springer
14 years 1 months ago
Web services negotiation in an insurance grid
There are an increasing number of initiatives for the migration of agents research towards new Internet technologies such as the semantic web, Grid, and web services. On the one h...
Shamimabi Paurobally, Chris van Aart, Valentina A....
AO
2007
111views more  AO 2007»
13 years 7 months ago
Let's talk about our "being": A linguistic-based ontology framework for coordinating agents
Abstract. In open scenarios, agents willing to cooperate must impact the communication barrier between them and their unknown partners. If agents are not relying on any agreement a...
Maria Teresa Pazienza, Savino Sguera, Armando Stel...
AGENTS
2000
Springer
13 years 12 months ago
Adaptivity in agent-based routing for data networks
Adaptivity, both of the individual agents and of the interaction structure among the agents, seems indispensable for scaling up multi-agent systems MAS's in noisy environme...
David Wolpert, Sergey Kirshner, Christopher J. Mer...
ATAL
2003
Springer
14 years 24 days ago
Team formation and communication restrictions in collectives
A collective of agents often needs to maximize a “world utility” function which rates the performance of an entire system, while subject to communication restrictions among th...
Adrian K. Agogino, Kagan Tumer