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<td><div class="bibTitle"><a href="https://aaai.org/papers/00236-aaai83-059-why-am-and-eurisko-appear-to-work/">Why AM and Eurisko Appear to Work</a></div>
Seven years ago, the AM program was constructed as an experiment in learning by discovery. Its source of power was a large body of heuristics, rules which guided it toward fruitful topics of investigation, toward profitable experiments to perform, toward plausible hypotheses and definitions. Other heuristics evaluated those discoveries for utility and "interestingness", and they were added to AM's vocabulary of concepts. AM's ultimate limitation apparently was due to its inability to discover new, powerful, domain-specific heuristics for the various new fields it uncovered. At that time, it seemed straight-forward to simply add Heuretics (the study of heuristics) as one more field in which to let AM explore, observe, define, and develop. That task -- learning new heuristics by discovery -- turned out to be much more difficult than was realized initially, and we have just now achieved some successes at it. Along the way, it became clearer why AM had succeeded in the first place, and why it was so difficult to use the same paradigm to discover new heuristics. This paper discusses those recent insights. They spawn questions about "where the meaning really resides" in the concepts discovered by AM. This leads to an appreciation of the crucial and unique role of representation in theory formation, a role involving the relationship between Form and Content.
<td><div class="bibTitle"><a href="https://drive.google.com/file/d/11RSExnsUnt9UsWpwgxVGQrGGS2__w6Ny/view?usp=sharing">Characteristics of the Xerox 1100 Machines upon which the Gabriel Benchmarks Were Performed</a></div>
<td><div class="bibTitle"><a href="https://drive.google.com/file/d/1klXbylSXRBwTTIoK5iwYk4urjok0tADG/view?usp=sharing">SEdit Overview -- An Extensible Structured Data Editor for Interlisp-D</a></div>
AGAST is an attempt to produce a program that can write intelligent stories. With an eclectic combination of ideas from the work of both computer scientists and writers, we have produced the flexible core of what could be a very intelligent story teller.
AGAST is an attempt to produce a program that can write intelligent stories. With an eclectic combination of ideas from the work of both computer scientists and writers, we have produced the flexible core of what could be a very intelligent story teller.
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<td><div class="bibTitle"><a href="https://github.com/Interlisp/pub-pdfs/blob/gh-pages/test/test-tools-AUTOTEST.PDFtest/tools-AUTOTEST.PDF">AUTOMATED TEST HARNESS INTERFACES</a></div>
<td><div class="bibTitle"><a href="https://drive.google.com/file/d/1klXbylSXRBwTTIoK5iwYk4urjok0tADG/view?usp=sharing">An Extensible Structured Data Editor for Interlisp-D</a></div>
Overview of the SEdit structure editor, its use, and its implementation.
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<td><div class="bibTitle"><a href="http://archive.org/details/Applications_of_Interlisp-D_Forum_1981-06-24_Version_2">Applications of Interlisp D Forum 1981 06 24 Version 2</a></div>
<td><div class="bibTitle"><a href="https://drive.google.com/file/d/11RSExnsUnt9UsWpwgxVGQrGGS2__w6Ny/view?usp=sharing">Characteristics of the Xerox 1100 Machines upon which the Gabriel Benchmarks Were Performed</a></div>
<td><div class="bibTitle"><a href="https://aaai.org/papers/00236-aaai83-059-why-am-and-eurisko-appear-to-work/">Why AM and Eurisko Appear to Work</a></div>
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