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LPAR
2005
Springer
16 years 4 days ago
Programming Cognitive Agents in Defeasible Logic
Defeasible Logic is extended to programming languages for cognitive agents with preferences and actions for planning. We define rule-based agent theories that contain preferences ...
Mehdi Dastani, Guido Governatori, Antonino Rotolo,...
208
Voted
MATES
2005
Springer
16 years 4 days ago
Programming Cognitive Agents
Defeasible Logic is extended to programming languages for cognitive agents with preferences and actions for planning. We define rule-based agent theories that contain preferences ...
John-Jules Ch. Meyer
154
Voted
ORL
2008
115views more  ORL 2008»
15 years 6 months ago
On the convergence of stochastic dual dynamic programming and related methods
We discuss the almost-sure convergence of a broad class of sampling algorithms for multi-stage stochastic linear programs. We provide a convergence proof based on the finiteness o...
Andrew B. Philpott, Z. Guan
MP
2010
128views more  MP 2010»
15 years 5 months ago
Perspective reformulations of mixed integer nonlinear programs with indicator variables
Abstract. We study mixed integer nonlinear programs (MINLP)s that are driven by a collection of indicator variables where each indicator variable controls a subset of the decision ...
Oktay Günlük, Jeff Linderoth
GECCO
2009
Springer
112views Optimization» more  GECCO 2009»
16 years 1 months ago
Soft memory for stock market analysis using linear and developmental genetic programming
Recently, a form of memory usage was introduced for genetic programming (GP) called “soft memory.” Rather than have a new value completely overwrite the old value in a registe...
Garnett Carl Wilson, Wolfgang Banzhaf