The two volumes of Foundations of Knowledge Acquisition  document the recent progress of basic research in knowledge  acquisition sponsored by the Office of Naval Research. This volume is  subtitled Machine Learning, and there is a companion  volume subtitled Cognitive Models of Complex Learning.  Funding was provided by a five-year Accelerated Research Initiative  (ARI), and made possible significant advances in the scientific  understanding of how machines and humans can acquire new knowledge so  as to exhibit improved problem-solving behavior.  Significant progress in machine learning is reported along a variety  of fronts. Chapters in Machine Learning include work in  analogical reasoning; induction and discovery; learning and planning;  learning by competition, using genetic algorithms; and theoretical  limitations.  Knowledge acquisition as pursued under the ARI was a coordinated  research thrust into both machine learning and human learning.  Chapters in Cognitive Modles of Complex Learning, also published  by Kluwer Academic Publishers, include summaries of work by cognitive  scientists who do computational modeling of human learning. In fact,  an accomplishment of research previously sponsored by ONR's Cognitive  Science Program was insight into the knowledge and skills that  distinguish human novices from human experts in various domains; the  Cognitive interest in the ARI was then to characterize how the  transition from novice to expert actually takes place.  These volumes of Foundations of Knowledge Acquisition serve as  excellent reference sources by bringing together descriptions of  recent and on-going research at the forefront of progress in one of  the most challenging arenas of artificial intelligence and cognitive  science. In addition, contributing authors comment on exciting future  directions for research.

Foundations of Knowledge Acquisition: Machine Learning PDF

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