Difference between revisions of "David Wilkins"

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'''David Edward Wilkins''',<br/>
 
'''David Edward Wilkins''',<br/>
 
an American computer scientist and [[Artificial Intelligence|AI]] researcher at the [https://en.wikipedia.org/wiki/SRI_International SRI International] [http://www.ai.sri.com/ Artificial Intelligence Center], where he has been since receiving his Ph.D. from [[Stanford University]] in 1979 under thesis advisor [[John McCarthy]]. ''Using Patterns and Plans to Solve Problems and Control Search'' covers his chess program [[Paradise]] that used [[Knowledge|knowledge]] to replace and control [[Search|search]] <ref>[[David Wilkins]] ('''1979'''). ''Using Patterns and Plans to Solve Problems and Control Search''. Ph.D. thesis, Computer Science Dept, [[Stanford University]], AI Lab Memo AIM-329</ref>. His further research has centered on planning and reasoning about actions, knowledge representation, and the design and implementation of artificial intelligence systems, including the state of the art AI planner ''SIPE-2: System for Interactive Planning and Execution'' <ref>[http://www.ai.sri.com/%7Esipe/ SIPE-2: System for Interactive Planning and Execution]</ref> .  
 
an American computer scientist and [[Artificial Intelligence|AI]] researcher at the [https://en.wikipedia.org/wiki/SRI_International SRI International] [http://www.ai.sri.com/ Artificial Intelligence Center], where he has been since receiving his Ph.D. from [[Stanford University]] in 1979 under thesis advisor [[John McCarthy]]. ''Using Patterns and Plans to Solve Problems and Control Search'' covers his chess program [[Paradise]] that used [[Knowledge|knowledge]] to replace and control [[Search|search]] <ref>[[David Wilkins]] ('''1979'''). ''Using Patterns and Plans to Solve Problems and Control Search''. Ph.D. thesis, Computer Science Dept, [[Stanford University]], AI Lab Memo AIM-329</ref>. His further research has centered on planning and reasoning about actions, knowledge representation, and the design and implementation of artificial intelligence systems, including the state of the art AI planner ''SIPE-2: System for Interactive Planning and Execution'' <ref>[http://www.ai.sri.com/%7Esipe/ SIPE-2: System for Interactive Planning and Execution]</ref> .  
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=AI as Sport=
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Quote by [[John McCarthy]] from  ''AI as Sport'' <ref>[[John McCarthy]] ('''1997'''). ''[http://science.sciencemag.org/content/276/5318/1518 AI as Sport]''. [[Science]], Vol. 276</ref><ref>[http://www-formal.stanford.edu/jmc/newborn/newborn.html AI as Sport] by [[John McCarthy]]</ref>:
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Besides AI work aimed at tournament play, particular aspects of the game have illuminated the intellectual mechanisms involved. [[Barbara Liskov]] demonstrated that what chess books teach about how to win certain [[Endgame|endgames]] is not a program but more like a predicate comparing two positions to see if one is an improvement on the other. Such qualitative comparisons are an important feature of human intelligence and are needed for AI. [[Donald Michie]], [[Ivan Bratko]], [[Alen Shapiro]], [[David Wilkins]], and others have also used chess as a Drosophila to study intelligence. [[Monroe Newborn|Newborn]] ignores this work, because it is not oriented to tournament play.
  
 
=Selected Publications=  
 
=Selected Publications=  
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[[Category:Chess Programmer|Wilkins]]
 
[[Category:Chess Programmer|Wilkins]]
 
[[Category:Researcher|Wilkins]]
 
[[Category:Researcher|Wilkins]]
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[[Category:McCarthy Quotes|Wilkins]]

Revision as of 15:13, 7 December 2019

Home * People * David Wilkins

David E. Wilkins [1]

David Edward Wilkins,
an American computer scientist and AI researcher at the SRI International Artificial Intelligence Center, where he has been since receiving his Ph.D. from Stanford University in 1979 under thesis advisor John McCarthy. Using Patterns and Plans to Solve Problems and Control Search covers his chess program Paradise that used knowledge to replace and control search [2]. His further research has centered on planning and reasoning about actions, knowledge representation, and the design and implementation of artificial intelligence systems, including the state of the art AI planner SIPE-2: System for Interactive Planning and Execution [3] .

AI as Sport

Quote by John McCarthy from AI as Sport [4][5]:

Besides AI work aimed at tournament play, particular aspects of the game have illuminated the intellectual mechanisms involved. Barbara Liskov demonstrated that what chess books teach about how to win certain endgames is not a program but more like a predicate comparing two positions to see if one is an improvement on the other. Such qualitative comparisons are an important feature of human intelligence and are needed for AI. Donald Michie, Ivan Bratko, Alen Shapiro, David Wilkins, and others have also used chess as a Drosophila to study intelligence. Newborn ignores this work, because it is not oriented to tournament play. 

Selected Publications

[6] [7] [8]

1979

1980 ...

1990 ...

External Links

References

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