Deep Thought (chess computer)

Known as: Deep Thought 
Deep Thought was a computer designed to play chess. Deep Thought was initially developed at Carnegie Mellon University and later at IBM. It was… (More)
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Topic mentions per year

Topic mentions per year

1988-2017
02419882017

Papers overview

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2015
2015
We have developed a novel data-driven mastery learning system to improve learning in complex procedural problem solving domains… (More)
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2014
2014
Effects such as student dropout and the non-normal distribution of duration data confound the exploration of tutor efficiency… (More)
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2011
2011
We have augmented the Deep Thought logic tutor with a Hint Factory that generates data-driven, context-specific hints for an… (More)
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2009
2009
In recent years the violation of Bell’s inequality has often been interpreted as either a failure of locality or of realism (or… (More)
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2008
2008
We have proposed a novel application of Markov decision processes (MDPs), a reinforcement learning technique, to automatically… (More)
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2008
2008
Niels Bohr introduced the concept of complementarity in order to give a general account of quantum mechanics, however he stressed… (More)
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Highly Cited
2005
Highly Cited
2005
To survive in a world where knowledge is limited, time is pressing, and deep thought is often an unattainable luxury, decision… (More)
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2005
2005
To profile an API's 'usability', we suggest easily quantified measures that can be made quickly and without deep thought. As an… (More)
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1998
1998
We describe the “Deep Thought” algorithm, which can, among other things, take a commutator presentation for a finitely generated… (More)
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1995
1995
  • Chaolin Tan
  • International Conference on Supercomputing
  • 1995
Since the dawn of the compttting age, programming a machine to play chess at grandmaster level has been a grand challenge of… (More)
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