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GECCO
2007
Springer
174views Optimization» more  GECCO 2007»
13 years 11 months ago
Classifier systems that compute action mappings
The learning in a niche based learning classifier system depends both on the complexity of the problem space and on the number of available actions. In this paper, we introduce a ...
Pier Luca Lanzi, Daniele Loiacono
NN
2006
Springer
122views Neural Networks» more  NN 2006»
13 years 7 months ago
Goals and means in action observation: A computational approach
Many of our daily activities are supported by behavioural goals that guide the selection of actions, which allow us to reach these goals effectively. Goals are considered to be im...
Raymond H. Cuijpers, Hein T. van Schie, Mathieu Ko...
CIG
2005
IEEE
14 years 1 months ago
Dealing with Parameterized Actions in Behavior Testing of Commercial Computer Games
Abstract- We present a method that enhances evolutionary behavior testing of commercial computer games, as introduced in [CD+04], to deal with parameterized actions. The basic idea...
Jörg Denzinger, Kevin Loose, Darryl Gates, Jo...
UAI
2004
13 years 9 months ago
Computing Nash Equilibria of Action-Graph Games
Action-graph games (AGGs) are a fully expressive game representation which can compactly express both strict and context-specific independence between players' utility functi...
Navin A. R. Bhat, Kevin Leyton-Brown
IJCAI
2003
13 years 9 months ago
Causal Theories of Action: A Computational Core
We propose a framework for simple causal theories of action, and study the computational complexity in it of various reasoning tasks such as determinism, progression and regressio...
Jérôme Lang, Fangzhen Lin, Pierre Mar...