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PLILP
1993
Springer
13 years 11 months ago
Higher-Order Chaotic Iteration Sequences
Chaotic iteration sequences is a method for approximating fixpoints of monotonic functions proposed by Patrick and Radhia Cousot. It may be used in specialisation algorithms for ...
Mads Rosendahl
ATAL
2010
Springer
13 years 8 months ago
Learning context conditions for BDI plan selection
An important drawback to the popular Belief, Desire, and Intentions (BDI) paradigm is that such systems include no element of learning from experience. In particular, the so-calle...
Dhirendra Singh, Sebastian Sardiña, Lin Pad...
JCC
2008
132views more  JCC 2008»
13 years 7 months ago
The implementation of a fast and accurate QM/MM potential method in Amber
Abstract: Version 9 of the Amber simulation programs includes a new semi-empirical hybrid QM/MM functionality. This includes support for implicit solvent (generalized Born) and for...
Ross C. Walker, Michael F. Crowley, David A. Case
CIM
2011
171views Hardware» more  CIM 2011»
13 years 2 months ago
Towards Cognitively Plausible Game Playing Systems
We propose to return to the roots of Artificial/Computational Intelligence applicability to board games domain by attempting to mimic human way of playing (or human intelligence ...
Jacek Mandziuk
COLT
1999
Springer
14 years 7 hour ago
Regret Bounds for Prediction Problems
We present a unified framework for reasoning about worst-case regret bounds for learning algorithms. This framework is based on the theory of duality of convex functions. It brin...
Geoffrey J. Gordon