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» Using Learning in a Control Agent
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AI
2006
Springer
15 years 6 months ago
Controlled generation of hard and easy Bayesian networks: Impact on maximal clique size in tree clustering
This article presents and analyzes algorithms that systematically generate random Bayesian networks of varying difficulty levels, with respect to inference using tree clustering. ...
Ole J. Mengshoel, David C. Wilkins, Dan Roth
CEC
2007
IEEE
16 years 1 months ago
Evolving cooperation in the non-iterated prisoner's dilemma: A social network inspired approach
— Online service provision is becoming increasingly decentralized as system designers pursue the benefits gained from utilizing nodes at the periphery of the network. However, d...
T. S. Ellis, X. Yao
ATAL
2005
Springer
16 years 5 days ago
Foundations of organizational structures in multiagent systems
We analyze the notion of organizational structure in multiagent systems and explain the precise added value and the effects of such organizational structure on the involved agents...
Davide Grossi, Frank Dignum, Mehdi Dastani, Lamb&e...
FLAIRS
2010
15 years 9 months ago
Applying Goal Driven Autonomy to a Team Shooter Game
Dynamic changes in complex, real-time environments, such as modern video games, can violate an agent's expectations. We describe a system that responds competently to such vi...
Hector Muñoz-Avila, David W. Aha, Ulit Jaid...
ATAL
2008
Springer
15 years 8 months ago
Do humans identify efficient strategies in structured peer-to-peer systems?
In the last years, distributed coordinator-free systems, e.g., peerto-peer systems (P2P systems), have attracted much interest among researchers and practitioners. In these system...
Stephan Schosser, Klemens Böhm, Bodo Vogt