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» Learning Models of Intelligent Agents
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ATAL
2010
Springer
15 years 5 months ago
Ants meeting algorithms
Ant robots have very low computational power and limited memory. They communicate by leaving pheromones in the environment. In order to create a cooperative intelligent behavior, ...
Asaf Shiloni, Alon Levy, Ariel Felner, Meir Kalech
120
Voted
AIIDE
2007
15 years 6 months ago
Personality-based Adaptation for Teamwork in Game Agents
This paper presents a novel learning framework to provide computer game agents the ability to adapt to the player as well as other game agents. Our technique generally involves a ...
Chek Tien Tan, Ho-Lun Cheng
115
Voted
ATAL
2010
Springer
15 years 5 months ago
A model of normative power
A power describes the ability of an agent to act in some way. While this notion of power is critical in the context of organisational dynamics, and has been studied by others in t...
Nir Oren, Michael Luck, Simon Miles
HICSS
2003
IEEE
162views Biometrics» more  HICSS 2003»
15 years 10 months ago
Decision Support Models for Composing and Navigating through e-Learning Objects
Libraries of learning objects may serve as basis for deriving course offerings that are customized to the needs of different learning communities or even individuals. Several ways...
Gerhard Knolmayer
AAAI
2006
15 years 6 months ago
Boosting Expert Ensembles for Rapid Concept Recall
Many learning tasks in adversarial domains tend to be highly dependent on the opponent. Predefined strategies optimized for play against a specific opponent are not likely to succ...
Achim Rettinger, Martin Zinkevich, Michael H. Bowl...