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Tristan J. Caulfield,
a computer scientist, currently research fellow at University of Aberdeen, and before lecturer at University of Bath [1] . His research interests include computer security, agents and E-commerce, knowledge acquisition and machine learning. His 2004 undergraduate dissertation at University of Bath under supervision of Joanna J. Bryson examines the use of knowledge in chess by both humans and existing computer programs. He has implemented an addition to GNU Chess that uses the generalized generalized Hebbian algorithm [2] [3] to find chunks in observed games to acquire and use knowledge while playing, further elaborated in the subsequent paper Chess by Imitation.
Tristan Caulfield [4]

Selected Publications

External Links


  1. ^ Tristan Caulfield | LinkedIn
  2. ^ Donald O. Hebb from Wikipedia
  3. ^ Hebbian theory from Wikipedia
  4. ^ Tristan Caulfield (tristanc), Twitter

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