New York: Academic Press

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This dissertation describes a computational system for the analysis of English prose under the Preference Semantics theory of language understanding. The two main areas of investigation are these: (1) the design and implementation of a series of programs for extracting semantic information from a machine-readable dictionary, with this semantic information in a form suitable for use by a subsequent semantic analysis program, and (2) the design and implementation of a semantic analysis program that accepts short English texts and creates a corresponding representation from them. The resulting representation is in a suitable form, such that other Artificial Intelligence programs can use it as a knowledge source.

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 John Holland's pioneering book Adaptation in Natural and Artificial Systems [1975, 2nd ed. 1992] showed how the evolutionary process can be applied to solve a wide variety of problems using a highly parallel technique that is now called the genetic algorithm. The genetic algorithm transforms a population of individual objects, each with an associated fitness value, into a new generation of the population using the Darwinian principle of reproduction and survival of the fittest and naturally occurring genetic operations such as crossover (recombination) and mutation. Each individual in the population represents a possible solution to a given problem. The genetic algorithm attempts to find a very good or best solution to the problem by genetically breeding the population of individuals. In preparing to use the conventional genetic algorithm operating on fixed-length character strings to solve a problem, the user must 1. determine the representation scheme, Ann Arbor: The University of Michigan Press

Northwestern students who are interested in changing their major, or simply sampling the computer science field, can take individual introductory courses.

Also see book version (1980), IJCAI-77. Also Rep. No. TR-347, AI Laboratory, Massachusetts Institute of Technology.

Artificial Intelligence 6:53-74.

In Schank, 157-288.

IEEE Transwactions on Systems, Man and Cybernetics SMC-5, pp. 409-425