Transcription of Genetic Algorithms and Machine Learning
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Genetic Algorithms and Machine Learning
Machine Learning 3: 95-99, 1988 1988 Kluwer Academic Publishers - Manufactured in The NetherlandsGUEST EDITORIALG enetic Algorithms and Machine LearningMetaphors for learningThere is no a priori reason why Machine Learning must borrow from field could exist, complete with well-defined Algorithms , data structures,and theories of Learning , without once referring to organisms, cognitive orgenetic structures, and psychological or evolutionary theories. Yet at the endof the day, with the position papers written, the computers plugged in, andthe programs debugged, a Learning edifice devoid of natural metaphor wouldlack something.
system to operate incrementally, testing new structures and hypotheses while steadily improving its performance. Arguments for the evolutionary metaphor ... papers ranging from VLSI layout compaction to problem-directed generation of LISP code. The diversity and level of this activity are the signposts of a
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