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ATAL
2010
Springer
13 years 9 months ago
A systematic agent framework for situated autonomous systems
We present a formal framework of an autonomous agent as a collection of coordinated control loops, with a recurring sense, plan, act cycle. Our framework manages the information f...
Frederic Py, Kanna Rajan, Conor McGann
KDD
1997
ACM
122views Data Mining» more  KDD 1997»
14 years 22 days ago
KDD Process Planning
KDD (Knowledge Discovery in Databases) processhas become a new and important research area. Within the framework of KDD process and the GLS (Global Learning Scheme) system recentl...
Ning Zhong, Chunnian Liu, Yoshitsugu Kakemoto, Set...
IROS
2009
IEEE
144views Robotics» more  IROS 2009»
14 years 3 months ago
Behavior-based motion planning for group control
— Despite the large body of work in both motion planning and multi-agent simulation, little work has focused on the problem of planning motion for groups of robots using external...
Christopher Vo, Joseph F. Harrison, Jyh-Ming Lien
CIA
2006
Springer
14 years 9 days ago
Learning to Negotiate Optimally in Non-stationary Environments
Abstract. We adopt the Markov chain framework to model bilateral negotiations among agents in dynamic environments and use Bayesian learning to enable them to learn an optimal stra...
Vidya Narayanan, Nicholas R. Jennings
AAAI
2008
13 years 11 months ago
An Efficient Motion Planning Algorithm for Stochastic Dynamic Systems with Constraints on Probability of Failure
When controlling dynamic systems, such as mobile robots in uncertain environments, there is a trade off between risk and reward. For example, a race car can turn a corner faster b...
Masahiro Ono, Brian C. Williams