Wyniki wyszukiwania:

Introducing issues in dynamic memory and case-based reasoning, this comprehensive volume presents extended descriptions of four major programming efforts conducted at Yale during the past several years. Each descriptive chapter is followed by a companion chapter containing the micro program version of the information. The authors emphasize that the only true way to learn and understand any AI program is to program it yourself. To this end, the book develops a deeper and richer understanding of the content through LISP programming instructions that allow the running, modification, and...

Artificial intelligence research has thrived in the years since this best-selling AI classic was first published. The revision encompasses these advances by adapting its coding to Common Lisp, the well-documented language standard, and by bringing together even more useful programming tools. Today's programmers in AI will find this volume's superior coverage of programming techniques and easily applicable style anything but common.

Using a case-based approach, this volume focuses on constructing explanations. All chapters relate to the problem of building computer programs that can develop hypotheses about what might have caused an observed event, an ability that is a hallmark of human intelligence.

First published in 1986. Routledge is an imprint of Taylor & Francis, an informa company.