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LPAR
2005
Springer
15 years 11 months 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,...
MATES
2005
Springer
15 years 11 months 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
ORL
2008
115views more  ORL 2008»
15 years 5 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 4 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 22 days 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