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» Using Learning in a Control Agent
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SMC
2007
IEEE
102views Control Systems» more  SMC 2007»
14 years 2 months ago
An improved immune Q-learning algorithm
—Reinforcement learning is a framework in which an agent can learn behavior without knowledge on a task or an environment by exploration and exploitation. Striking a balance betw...
Zhengqiao Ji, Q. M. Jonathan Wu, Maher A. Sid-Ahme...
AAAI
2006
13 years 9 months ago
Performance Evaluation Methods for the Trading Agent Competition
This paper proposes a novel method to characterize the performance of autonomous agents in the Trading Agent Competition for Supply Chain Management (TAC-SCM). We create benchmark...
Brett Borghetti, Eric Sodomka
ATAL
2006
Springer
13 years 11 months ago
An ontology of social control tools
In multi-agent systems, social commitments are increasingly used to capture roles, social norms, the semantics of agent communication as well as other inter-agent dependencies. Th...
Philippe Pasquier, Roberto A. Flores, Brahim Chaib...
ATAL
2006
Springer
13 years 11 months ago
Learning trust strategies in reputation exchange networks
An agent's trust decision strategy consists of the agent's policies for making trust-related decisions, such as who to trust, how trustworthy to be, what reputations to ...
Karen Fullam, K. Suzanne Barber
AAI
2005
93views more  AAI 2005»
13 years 7 months ago
Learning By Feeling: Evoking Empathy With Synthetic Characters
Virtual environments are now becoming a promising new technology to be used in the development of interactive learning environments for children. Perhaps triggered by the success ...
Ana Paiva, João Dias, Daniel Sobral, Ruth A...