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AAAI
2000
15 years 7 months ago
Inter-Layer Learning Towards Emergent Cooperative Behavior
As applications for artificially intelligent agents increase in complexity we can no longer rely on clever heuristics and hand-tuned behaviors to develop their programming. Even t...
Shawn Arseneau, Wei Sun, Changpeng Zhao, Jeremy R....
IJCSA
2007
88views more  IJCSA 2007»
15 years 6 months ago
A New Quantitative Trust Model for Negotiating Agents using Argumentation
In this paper, we propose a new quantitative trust model for argumentation-based negotiating agents. The purpose of such a model is to provide a secure environment for agent negot...
Jamal Bentahar, John-Jules Ch. Meyer
ICARCV
2006
IEEE
100views Robotics» more  ICARCV 2006»
16 years 6 days ago
Decentralized Reinforcement Learning Control of a Robotic Manipulator
— Multi-agent systems are rapidly finding applications in a variety of domains, including robotics, distributed control, telecommunications, etc. Learning approaches to multi-ag...
Lucian Busoniu, Bart De Schutter, Robert Babuska
ROBOCUP
1999
Springer
113views Robotics» more  ROBOCUP 1999»
15 years 10 months ago
11Monkeys Description
The major purpose of our research is to study cooperative planning for multi-agent system in time-critical environment. The RoboCup simulator league is the most interesting target ...
Shuhei Kinoshita, Yoshikazu Yamamoto
MKWI
2008
113views Business» more  MKWI 2008»
15 years 7 months ago
A Rule-based Middleware for Business Process Execution
Abstract. While past research in service oriented computing has focused on the fairly static functional description and the operators of services the dynamic and flexible compositi...
Adrian Paschke, Alexander Kozlenkov