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» Measuring Agent Intelligence via Hierarchies of Environments
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GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
13 years 11 months ago
Genetic evolution of hierarchical behavior structures
The development of coherent and dynamic behaviors for mobile robots is an exceedingly complex endeavor ruled by task objectives, environmental dynamics and the interactions within...
Brian G. Woolley, Gilbert L. Peterson
ATAL
2009
Springer
14 years 2 months ago
The price of democracy in coalition formation
Whenever rational agents form coalitions to execute tasks, doing so via a decentralized negotiation process—while more robust and democratic—may lead to a loss of efficiency ...
Georgios Chalkiadakis, Edith Elkind, Maria Polukar...
AAMAS
1999
Springer
13 years 7 months ago
Fully Embodied Conversational Avatars: Making Communicative Behaviors Autonomous
: Although avatars may resemble communicative interface agents, they have for the most part not profited from recent research into autonomous embodied conversational systems. In pa...
Justine Cassell, Hannes Högni Vilhjálm...
ATAL
2003
Springer
14 years 27 days ago
MONAD: a flexible architecture for multi-agent control
Research in multi-agent systems has led to the development of many multi-agent control architectures. However, we believe that there is currently no known optimal structure for mu...
Thuc Vu, Jared Go, Gal A. Kaminka, Manuela M. Velo...
AAAI
2006
13 years 9 months ago
Action Selection in Bayesian Reinforcement Learning
My research attempts to address on-line action selection in reinforcement learning from a Bayesian perspective. The idea is to develop more effective action selection techniques b...
Tao Wang