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» On the complexity of hierarchical problem solving
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CEC
2007
IEEE
15 years 4 months ago
Towards an immune system that solves CSP
—Constraint satisfaction problems (CSPs) widely occur in artificial intelligence. In the last twenty years, many algorithms and heuristics were developed to solve CSP. Recently,...
María-Cristina Riff, Marcos Zú&ntild...
GECCO
2004
Springer
132views Optimization» more  GECCO 2004»
15 years 3 months ago
Robust and Efficient Genetic Algorithms with Hierarchical Niching and a Sustainable Evolutionary Computation Model
This paper proposes a new niching method named hierarchical niching, which combines spatial niching in search space and a continuous temporal niching concept. The method is natural...
Jianjun Hu, Erik D. Goodman
IROS
2007
IEEE
125views Robotics» more  IROS 2007»
15 years 4 months ago
Probabilistic inference for structured planning in robotics
Abstract— Real-world robotic environments are highly structured. The scalability of planning and reasoning methods to cope with complex problems in such environments crucially de...
Marc Toussaint, Christian Goerick
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DATE
2009
IEEE
138views Hardware» more  DATE 2009»
15 years 4 months ago
Scalable Adaptive Scan (SAS)
Scan compression has emerged as the most successful solution to solve the problem of rising manufacturing test cost. Compression technology is not hierarchical in nature. Hierarch...
Anshuman Chandra, Rohit Kapur, Yasunari Kanzawa
ICML
2006
IEEE
15 years 10 months ago
Probabilistic inference for solving discrete and continuous state Markov Decision Processes
Inference in Markov Decision Processes has recently received interest as a means to infer goals of an observed action, policy recognition, and also as a tool to compute policies. ...
Marc Toussaint, Amos J. Storkey