GPEM
2011
13 years 6 months ago
2011
In this paper we demonstrate how genetic algorithms can be used to reverse engineer an evaluation function’s parameters for computer chess. Our results show that using an appropr...
CG
2002
Springer
13 years 11 months ago
2002
Springer
The difficulty to write successful 19x19 go programs lies not only in the combinatorial complexity of go but also in the complexity of designing a good evaluation function containi...
GECCO
2008
Springer
14 years 15 days ago
2008
Springer
In this paper we demonstrate how genetic algorithms can be used to reverse engineer an evaluation function’s parameters for computer chess. Our results show that using an approp...
AAAI
1994
14 years 23 days ago
1994
Neural networks were evolved through genetic algorithms to focus minimax search in the game of Othello. At each level of the search tree, the focus networks decide which moves are...
SCAI
1997
14 years 23 days ago
1997
The class of well-behaved evaluation functions simplifies and makes efficient the handling of numerical attributes; for them it suffices to concentrate on the boundary points in...
AAAI
1998
14 years 24 days ago
1998
This paper describes STAGE, a learning approach to automatically improving search performance on optimization problems.STAGElearns an evaluation function which predicts the outcom...
FLAIRS
2003
14 years 24 days ago
2003
In this paper, we present an experimental methodology and results for a machine learning approach to learning opening strategy in the game of Go, a game for which the best compute...
AAAI
2006
14 years 25 days ago
2006
While computers have defeated the best human players in many classic board games, progress in Go remains elusive. The large branching factor in the game makes traditional adversar...
GECCO
2010
Springer
14 years 1 months ago
2010
Springer
Evolving multiple robots so that each robot acting independently can contribute to the maximization of a system level objective presents significant scientific challenges. For e...
EPS
1995
Springer
14 years 3 months ago
1995
Springer
One of the major components of any evolutionary system is the evaluation function. Evaluation functions are used to assign a quality measure for individuals in a population. Where...