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NIPS
2007
13 years 11 months ago
Computing Robust Counter-Strategies
Adaptation to other initially unknown agents often requires computing an effective counter-strategy. In the Bayesian paradigm, one must find a good counterstrategy to the inferre...
Michael Johanson, Martin Zinkevich, Michael H. Bow...
GECCO
2008
Springer
128views Optimization» more  GECCO 2008»
13 years 11 months ago
Multi-agent task allocation: learning when to say no
This paper presents a communication-less multi-agent task allocation procedure that allows agents to use past experience to make non-greedy decisions about task assignments. Exper...
Adam Campbell, Annie S. Wu, Randall Shumaker
CEC
2008
IEEE
14 years 4 months ago
A multi-agent based evolutionary algorithm in non-stationary environments
— In this paper, a multi-agent based evolutionary algorithm (MAEA) is introduced to solve dynamic optimization problems. The agents simulate living organism features and co-evolv...
Yang Yan, Hongfeng Wang, Dingwei Wang, Shengxiang ...
IAT
2008
IEEE
14 years 4 months ago
The Role of Blackboard-Based Reasoning and Visual Analytics in RESIN's Predictive Analysis
Knowledge gathering and investigative tasks in open environments can be very complex because the problemsolving context is constantly evolving, and the data may be incomplete, unr...
Dingxiang Liu, Jia Yue, Xiaoyu Wang, Anita Raja, W...
ATAL
2007
Springer
14 years 4 months ago
An event-driven approach for agent-based business process enactment
Agents enacting business processes in large open environments need to adaptively accommodate exceptions. Work on multiagent approaches can flexibly model business processes. This...
Payal Chakravarty, Munindar P. Singh