Transcription of Genetic Algorithms and Machine Learning
{{id}} {{{paragraph}}}
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. It would ignore the fact that all these creations have becomepossible only after three billion years of evolution on this planet.
natural or artificial minds should be anything like the adaptation that has occurred in evolution. Yet there is an appealing symmetry in the notion that ... noisy search domain - medical image registration. Next De Jong provides an overview and careful
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document:
{{id}} {{{paragraph}}}