Rarely do research paths diverge and converge as neatly and productively as the paths exemplified by the two efforts contained in this book. The story behind these researches is worth recounting. The story, as far as I’m concerned, starts back in the Fall of1976, when John Laird and Paul Rosenbloom, as new graduate students in computer science at Carnegie-Mellon University, joined the Instructible Production System (IPS) project (Rychener, Forgy, Langley, Mc Dermott, Newell, Ramakrishna, 1977; Rychener & Newell, 1978). In those days, production systems were either small or special or both (Newell, 1973; Shortliffe, 1976). Mike Rychener had just completed his thesis (Rychener, 1976), showing how production systems could effectively and perspicuously program the full array of artificial intelligence (AI) systems, by creating versions of Studellt (done in an earlier study, Rychener 1975), EPAM, GPS, King-Pawn-King endgames, a toy-blocks problem solver, and a natural-language input system that connected to the blocks-world system.
John Laird & Allen Newell
Universal Subgoaling and Chunking [PDF ebook]
The Automatic Generation and Learning of Goal Hierarchies
Universal Subgoaling and Chunking [PDF ebook]
The Automatic Generation and Learning of Goal Hierarchies
购买此电子书可免费获赠一本!
语言 英语 ● 格式 PDF ● ISBN 9781461322771 ● 出版者 Springer US ● 发布时间 2012 ● 下载 3 时 ● 货币 EUR ● ID 4600080 ● 复制保护 Adobe DRM
需要具备DRM功能的电子书阅读器