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'''[[Main Page|Home]] * [[Engines]] * Blondie25'''
'''Blondie25''',<br/>
an [[Genetic Programming|evolutionary]] chess program by [[David B. Fogel]] and [[Timothy J. Hays]], supported by [[James Quon]] and [[Sarah L. Hahn]]. Blondie25 improved its play by almost 400 rating points during evolution <ref>[[David B. Fogel]], [[Timothy J. Hays]], [[Sarah L. Hahn]], [[James Quon]] ('''2004'''). ''[http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=1360168 A Self-Learning Evolutionary Chess Program]''. [[IEEE#Proceedings|Proceedings of the IEEE]], Vol. 92 No. 12, [http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.72.4267 CiteSeerX]</ref>.
=New Results in Evolving Chess=
Quote from the Press Release, May 22, 2006 <ref>[http://natural-selection.com/press/2006/pr_05222006.html Natural Selection, Inc. Presents New Results in Evolving Chess Programs: Two Milestones in Self-Learning Chess Achieved | Natural Selection, Inc] (as of October 24, 2018 no longer avalable)</ref>
Blondie25 is the result of over 8000 generations of variation and selection, simulated on a computer, in which a computer chess-playing program plays games against variations of itself to learn how to improve its play. Blondie25 includes mechanisms for [[Learning|learning]] the [[Point Value|values of the pieces]], their [[Piece-Square Tables|locations]] on the chessboard, and also uses [[Neural Networks|neural networks]] to assess the formation of pieces in different areas of the board.
=See also=
* [[Neural Networks#engines|Chess Engines with Neural Networks]]
* [[Learning#Programs|Learning Chess Programs]]
=Publications=
* [[David B. Fogel]], [[Timothy J. Hays]] ('''2003'''). ''[http://spie.org/x648.html?product_id=512624 New Results on Evolving Strategies in Chess]''. [http://spie.org/x648.html?product_id=485971&origin_id=x648 Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation VI]
* [[David B. Fogel]], [[Timothy J. Hays]], [[Sarah L. Hahn]], [[James Quon]] ('''2004'''). ''[https://ieeexplore.ieee.org/document/1360168?arnumber=1360168 A Self-Learning Evolutionary Chess Program]''. [[IEEE#Proceedings|Proceedings of the IEEE]], Vol. 92 No. 12, [http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.72.4267 CiteSeerX]
* [[David B. Fogel]], [[Timothy J. Hays]], [[Sarah L. Hahn]], [[James Quon]] ('''2005'''). ''Further Evolution of a Self-Learning Chess Program''. [[IEEE#CIG|IEEE Symposium on Computational Intelligence & Games]], [http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.112.5288 CiteSeerX]
* [[David B. Fogel]], [[Timothy J. Hays]], [[Sarah L. Hahn]], [[James Quon]] ('''2006'''). ''[https://ieeexplore.ieee.org/document/4100133 The Blondie25 Chess Program Competes Against Fritz 8.0 and a Human Chess Master]''. [[IEEE#CIG|IEEE Symposium on Computational Intelligence & Games]] » [[Fritz]]
=External Links=
* [https://en.wikipedia.org/wiki/Blondie24 Blondie24 from Wikipedia]
=References=
<references />
'''[[Engines|Up one level]]'''
'''Blondie25''',<br/>
an [[Genetic Programming|evolutionary]] chess program by [[David B. Fogel]] and [[Timothy J. Hays]], supported by [[James Quon]] and [[Sarah L. Hahn]]. Blondie25 improved its play by almost 400 rating points during evolution <ref>[[David B. Fogel]], [[Timothy J. Hays]], [[Sarah L. Hahn]], [[James Quon]] ('''2004'''). ''[http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=1360168 A Self-Learning Evolutionary Chess Program]''. [[IEEE#Proceedings|Proceedings of the IEEE]], Vol. 92 No. 12, [http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.72.4267 CiteSeerX]</ref>.
=New Results in Evolving Chess=
Quote from the Press Release, May 22, 2006 <ref>[http://natural-selection.com/press/2006/pr_05222006.html Natural Selection, Inc. Presents New Results in Evolving Chess Programs: Two Milestones in Self-Learning Chess Achieved | Natural Selection, Inc] (as of October 24, 2018 no longer avalable)</ref>
Blondie25 is the result of over 8000 generations of variation and selection, simulated on a computer, in which a computer chess-playing program plays games against variations of itself to learn how to improve its play. Blondie25 includes mechanisms for [[Learning|learning]] the [[Point Value|values of the pieces]], their [[Piece-Square Tables|locations]] on the chessboard, and also uses [[Neural Networks|neural networks]] to assess the formation of pieces in different areas of the board.
=See also=
* [[Neural Networks#engines|Chess Engines with Neural Networks]]
* [[Learning#Programs|Learning Chess Programs]]
=Publications=
* [[David B. Fogel]], [[Timothy J. Hays]] ('''2003'''). ''[http://spie.org/x648.html?product_id=512624 New Results on Evolving Strategies in Chess]''. [http://spie.org/x648.html?product_id=485971&origin_id=x648 Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation VI]
* [[David B. Fogel]], [[Timothy J. Hays]], [[Sarah L. Hahn]], [[James Quon]] ('''2004'''). ''[https://ieeexplore.ieee.org/document/1360168?arnumber=1360168 A Self-Learning Evolutionary Chess Program]''. [[IEEE#Proceedings|Proceedings of the IEEE]], Vol. 92 No. 12, [http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.72.4267 CiteSeerX]
* [[David B. Fogel]], [[Timothy J. Hays]], [[Sarah L. Hahn]], [[James Quon]] ('''2005'''). ''Further Evolution of a Self-Learning Chess Program''. [[IEEE#CIG|IEEE Symposium on Computational Intelligence & Games]], [http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.112.5288 CiteSeerX]
* [[David B. Fogel]], [[Timothy J. Hays]], [[Sarah L. Hahn]], [[James Quon]] ('''2006'''). ''[https://ieeexplore.ieee.org/document/4100133 The Blondie25 Chess Program Competes Against Fritz 8.0 and a Human Chess Master]''. [[IEEE#CIG|IEEE Symposium on Computational Intelligence & Games]] » [[Fritz]]
=External Links=
* [https://en.wikipedia.org/wiki/Blondie24 Blondie24 from Wikipedia]
=References=
<references />
'''[[Engines|Up one level]]'''
