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Computers, Chess, and Cognition

Classics

The checkers program Chinook has won the right to play a 40-game match for the World Checkers Championship against Dr. Marion Tinsley. This was earned by placing second, after Dr. Tinsley, at the 1990 U.S. National Open, the biennial event used to determine a challenger for the championship. This is the first time a program has earned the right to contest for a human world championship. In an exhibition match played in December 1990, Tinsley narrowly defeated Chinook 7.5-6.5. This paper describes the program, the research problems encountered and our solutions.


A grandmaster chess machine

Classics

Deep Blue is the chess machine that defeated then-reigning World Chess Champion Garry Kasparov in a six-game match in 1997. This paper describes the Deep Blue system, and gives some of the rationale that went into the design decisions behind Deep Blue.


WORDNET: A Lexical Database for English

Classics

Access to restricted content on Oxford Academic is often provided through institutional subscriptions and purchases. Typically, access is provided across an institutional network to a range of IP addresses. This authentication occurs automatically, and it is not possible to sign out of an IP authenticated account. Choose this option to get remote access when outside your institution. Shibboleth / Open Athens technology is used to provide single sign-on between your institution's website and Oxford Academic.



The Philosophy of Artificial Intelligence

Classics

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Can logic programming execute as fast as imperative programming?

Classics

The output is assembly code for the Berkeley Abstract Machine (BAM). Directives hold starting from the next predicate that is input. Clauses do not have to be contiguous in the input stream, however, the whole stream is read before compilation starts. This manual is organized into ten sections.



An Optimality Principle for Unsupervised Learning

Neural Information Processing Systems

We propose an optimality principle for training an unsupervised feedforward neural network based upon maximal ability to reconstruct the input data from the network outputs. We describe an algorithm which can be used to train either linear or nonlinear networks with certain types of nonlinearity. Examples of applications to the problems of image coding, feature detection, and analysis of randomdot stereograms are presented.


A Computationally Robust Anatomical Model for Retinal Directional Selectivity

Neural Information Processing Systems

We analyze a mathematical model for retinal directionally selective cells based on recent electrophysiological data, and show that its computation of motion direction is robust against noise and speed.


Theory of Self-Organization of Cortical Maps

Neural Information Processing Systems

We have mathematically shown that cortical maps in the primary sensory cortices can be reproduced by using three hypotheses which have physiological basis and meaning. Here, our main focus is on ocular.dominance