Tempo (engine)

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Tempo, an experimental chess engine developed by Mathieu Autonès, Aryel Beck, Phillippe Camacho, Nicolas Lassabe, Hervé Luga, and François Scharffe, using an artificial neuronal network as evaluation function generated by a genetic algorithm. Tempo applies L-systems as elaborated by Egbert Boers and Herman Kuiper, to generate modular neural networks whose size is independent of that of the chromosome and crossover tolerant. A population of L-system construction rules is generated to mark the resulting networks according to their capabilities to learn game position evaluations from real games. Simple aspects were learnt at first. Strongest individuals learnt more complex faetures, from material to square control and pawn structure.

=See also=
 * Chess Engines with Neural Networks
 * Learning Chess Programs
 * Tempo

=Publications=
 * Mathieu Autonès, Aryel Beck, Phillippe Camacho, Nicolas Lassabe, Hervé Luga, François Scharffe (2004). Evaluation of Chess Position by Modular Neural network Generated by Genetic Algorithm. EuroGP 2004

=Abstract=

=Forum Posts=
 * Presentation for a neural net learning chess program by Dann Corbit, CCC, April 06, 2004

=External Links=
 * Tempo from Wikipedia
 * Tempo (disambiguation) from Wikipedia
 * Tempo (chess) from Wikipedia
 * Tempo (app) from Wikipedia
 * Yamandu Costa - Tempo Feliz (Baden Powell), Tokyo Session (2006), YouTube Video

=References=

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