MIT continues to be a premier AI research center, and the book makes available some of the most important and influential results in a handy form. Since the original publication, much of the work has also been published in journals and other forms, and in some cases superceded by other work at MIT and elsewhere. However, the book chapters are much more tutorial, and hence easier to read, than corresponding journal papers and contain pointers for more detailed reading. The collection is still highely valuable, particulary for that sub-field of AI that the reader does not follow closely. It is not the purpose of this review to critically evaluate the research presented in the various chapters - it should suffice to say that on the whole the work presented has been highly influential in their respective areas of research. Section I of this voulume is on "Understanding Vision," containing six chapters. A chapter by David Marr is a nice summary of many aspects of Marr's vision work including the topics of early processing, boundary computation, lightness, motion, stereo, and representation of surfaces and objects. Shimon Ullman's chapter is on visual detection of light sources (unfortunately, Ullman's work on
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An overview of the HORNE logic programming system
Frisch, Alan M.; Allen, James F.; Giuliano, Mark
Follow ACM SIGART Bulletin
, Volume (84)
Association for Computing Machinery – Apr 1, 1983
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