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GECCO
2008
Springer
179views Optimization» more  GECCO 2008»
13 years 9 months ago
Developing neural structure of two agents that play checkers using cartesian genetic programming
A developmental model of neural network is presented and evaluated in the game of Checkers. The network is developed using cartesian genetic programs (CGP) as genotypes. Two agent...
Gul Muhammad Khan, Julian Francis Miller, David M....
ACMSE
2006
ACM
14 years 1 months ago
Computer tutoring for programming education
Software is increasingly pervasive in the products we use. Consequently, more programmers are needed to develop the software, and consequently there is unmet demand on programming...
Susan Eitelman
AI
2002
Springer
13 years 7 months ago
Programming backgammon using self-teaching neural nets
TD-Gammon is a neural network that is able to teach itself to play backgammon solely by playing against itself and learning from the results. Starting from random initial play, TD...
Gerald Tesauro
ASPLOS
2008
ACM
13 years 10 months ago
Learning from mistakes: a comprehensive study on real world concurrency bug characteristics
The reality of multi-core hardware has made concurrent programs pervasive. Unfortunately, writing correct concurrent programs is difficult. Addressing this challenge requires adva...
Shan Lu, Soyeon Park, Eunsoo Seo, Yuanyuan Zhou
SIGITE
2004
ACM
14 years 1 months ago
Experiences using tablet PCs in a programming laboratory
This experience report describes lessons learned using first generation tablet PCs to support active learning in an undergraduate computer science laboratory course. We learned th...
Stephen H. Edwards, N. Dwight Barnette