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FECS
2006
159views Education» more  FECS 2006»
13 years 11 months ago
Evolving Mathematical Functions with Genetic Algorithms - A Team Project on Artificial Intelligence
- In contrast to most of the senior level Artificial Intelligence (AI) courses where AI is taught in the jargon of theoretical computer science with crowd of complex matrix algebra...
Zhiguang Xu, Chris Neasbitt, Jared Summers, Bill C...
GECCO
2008
Springer
143views Optimization» more  GECCO 2008»
13 years 11 months ago
Genetic algorithms for mentor-assisted evaluation function optimization
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...
Omid David-Tabibi, Moshe Koppel, Nathan S. Netanya...
DB
2008
107views more  DB 2008»
13 years 10 months ago
Introducing function extraction into software testing
Software testing can benefit from technologies that enable evolution toward increased engineering discipline. In current practice, software developers lack practical means to dete...
Mark G. Pleszkoch, Richard C. Linger, Alan R. Hevn...
AR
2006
86views more  AR 2006»
13 years 10 months ago
Learning for joint attention helped by functional development
Cognitive scientists and developmental psychologists have suggested that development in perceptual, motor and memory functions of human infants as well as adaptive evaluation by ca...
Yukie Nagai, Minoru Asada, Koh Hosoda
ENTCS
2002
101views more  ENTCS 2002»
13 years 10 months ago
Hypergeometric Functions in Exact Geometric Computation
Most problems in computational geometry are algebraic. A general approach to address nonrobustness in such problems is Exact Geometric Computation (EGC). There are now general lib...
Zilin Du, Maria Eleftheriou, José E. Moreir...