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Acknowledgements:
This paper is based on work and ideas developed over many years at diverse places. It was my privilege to meet Feynman in the past when I studied at Caltech. Years later, I went to MIT to study with Minsky, directed to him by hearing from a classmate of my student days of Feynman's interest in Minsky's work. I undertook case studies of learning in Papert's laboratory at MIT, guided by his appreciation of Piaget and the intellectual program represented now by Minsky's book The Society of Mind, earlier a joint effort of Minsky and Papert. The influence of Papert, as epistemologist, remains deep here in specific ideas. On the suggestion of Minsky, I worked with Oliver Selfridge as an apprentice at computational modelling. Oliver's contributions to this work are pervasive; the first publication about SLIM bears his name as well as my own. Bud Frawley showed me how to do the recursive game extension at the heart of SLIM. Sheldon White and Howard Gruber encouraged my case studies and showed me links between my own intellectual heroes and others (Vygotsky and Lewin). Discussion over several years with Howard Austin, Robert B. Davis, Wallace Feurzeig, and Joseph Psotka have left their imprint on my work. Arthur Miller 's criticisms of an early draft and suggestions for revision were always cogent and often helpful. Jim Hood, Mary Hopper, Gretchen Lawler, and Mallory Selfridge were kind enough to read early versions of this work and suggest useful directions for further development. No surprise then that the climate of MIT's AI Lab, GTE's Fundamental Research Lab, the Smart Technology Group at the Army Research Institute, and Purdue each made their special contribution to this paper. And if this effort reflects my admiration for one of the heroes of Caltech, perhaps it is not inappropriate to express my gratitude also to the memory of those mentors of my student days, Hunter Mead and Charles Bures, who first suggested I should take seriously the works of Langer and Peirce.