GP-endchess: Using genetic programming to evolve chess endgame players

Ami Hauptman; Moshe Sipper

doi:10.1007/978-3-540-31989-4_11

GP-endchess: Using genetic programming to evolve chess endgame players

Ami Hauptman
, Moshe Sipper

Research output: Contribution to journal › Conference article › peer-review

45 Scopus citations

Abstract

We apply genetic programming to the evolution of strategies for playing chess endgames. Our evolved programs are able to draw or win against an expert human-based strategy, and draw against CRAFTY - a world-class chess program, which finished second in the 2004 Computer Chess Championship.

Original language	English
Pages (from-to)	120-131
Number of pages	12
Journal	Lecture Notes in Computer Science
Volume	3447
DOIs	https://doi.org/10.1007/978-3-540-31989-4_11
State	Published - 1 Jan 2005
Event	8th European Conference on Genetic Programming, EuroGP 2005 - Lausanne, Switzerland Duration: 30 Mar 2005 → 1 Apr 2005

Keywords

Genetic Programming
Game Tree
Complex Terminal
Chess Player
Genetic Programming System

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

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10.1007/978-3-540-31989-4_11

Cite this

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title = "GP-endchess: Using genetic programming to evolve chess endgame players",

abstract = "We apply genetic programming to the evolution of strategies for playing chess endgames. Our evolved programs are able to draw or win against an expert human-based strategy, and draw against CRAFTY - a world-class chess program, which finished second in the 2004 Computer Chess Championship.",

keywords = "Genetic Programming, Game Tree, Complex Terminal, Chess Player, Genetic Programming System",

author = "Ami Hauptman and Moshe Sipper",

year = "2005",

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doi = "10.1007/978-3-540-31989-4\_11",

language = "English",

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note = "8th European Conference on Genetic Programming, EuroGP 2005 ; Conference date: 30-03-2005 Through 01-04-2005",

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T2 - 8th European Conference on Genetic Programming, EuroGP 2005

AU - Hauptman, Ami

AU - Sipper, Moshe

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Y1 - 2005/1/1

N2 - We apply genetic programming to the evolution of strategies for playing chess endgames. Our evolved programs are able to draw or win against an expert human-based strategy, and draw against CRAFTY - a world-class chess program, which finished second in the 2004 Computer Chess Championship.

AB - We apply genetic programming to the evolution of strategies for playing chess endgames. Our evolved programs are able to draw or win against an expert human-based strategy, and draw against CRAFTY - a world-class chess program, which finished second in the 2004 Computer Chess Championship.

KW - Genetic Programming

KW - Game Tree

KW - Complex Terminal

KW - Chess Player

KW - Genetic Programming System

UR - https://www.scopus.com/pages/publications/24644484835

U2 - 10.1007/978-3-540-31989-4_11

DO - 10.1007/978-3-540-31989-4_11

M3 - Conference article

AN - SCOPUS:24644484835

SN - 0302-9743

VL - 3447

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JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

Y2 - 30 March 2005 through 1 April 2005

ER -

GP-endchess: Using genetic programming to evolve chess endgame players

Abstract

Keywords

ASJC Scopus subject areas

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