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» Multiagent learning in adaptive dynamic systems
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ROBOCUP
2001
Springer
96views Robotics» more  ROBOCUP 2001»
14 years 5 days ago
Strategy Learning for a Team in Adversary Environments
Team strategy acquisition is one of the most important issues of multiagent systems, especially in an adversary environment. RoboCup has been providing such an environment for AI a...
Yasutake Takahashi, Takashi Tamura, Minoru Asada
WSC
2007
13 years 10 months ago
Optimizing time warp simulation with reinforcement learning techniques
Adaptive Time Warp protocols in the literature are usually based on a pre-defined analytic model of the system, expressed as a closed form function that maps system state to cont...
Jun Wang, Carl Tropper
ATAL
2008
Springer
13 years 9 months ago
Dynamic Bayesian network based interest estimation for visual attentive presentation agents
In this paper, we report on an interactive system and the results ofa formal user study that was carried out with the aim of comparing two approaches to estimating users' int...
Boris Brandherm, Helmut Prendinger, Mitsuru Ishizu...
ISRR
2005
Springer
149views Robotics» more  ISRR 2005»
14 years 1 months ago
Emergence, Exploration and Learning of Embodied Behavior
A novel model for dynamic emergence and adaptation of embodied behavior is proposed. A musculo-skeletal system is controlled by a number of chaotic elements, each of which driving...
Yasuo Kuniyoshi, Shinsuke Suzuki, Shinji Sangawa
SKG
2005
IEEE
14 years 1 months ago
An Agent-based Peer-to-Peer Grid Computing Architecture
The conventional computing Grid has developed a service oriented computing architecture with a superlocal resource management and scheduling strategy. This architecture is limited...
Jia Tang, Minjie Zhang