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Universal Subgoaling and Chunking

The Automatic Generation and Learning of Goal Hierarchies

  • John Laird
  • Paul Rosenbloom
  • Allen Newell

Table of contents

  1. Front Matter
    Pages i-xxi
  2. Universal Subgoaling

    1. Front Matter
      Pages 1-1
    2. John Laird, Paul Rosenbloom, Allen Newell
      Pages 3-16
    3. John Laird, Paul Rosenbloom, Allen Newell
      Pages 17-55
    4. John Laird, Paul Rosenbloom, Allen Newell
      Pages 57-81
    5. John Laird, Paul Rosenbloom, Allen Newell
      Pages 83-92
    6. John Laird, Paul Rosenbloom, Allen Newell
      Pages 93-94
    7. Back Matter
      Pages 95-131
  3. The Chunking of Goal Hierarchies

    1. Front Matter
      Pages 133-133
    2. John Laird, Paul Rosenbloom, Allen Newell
      Pages 135-138
    3. John Laird, Paul Rosenbloom, Allen Newell
      Pages 139-148
    4. John Laird, Paul Rosenbloom, Allen Newell
      Pages 149-174
    5. John Laird, Paul Rosenbloom, Allen Newell
      Pages 175-199
    6. John Laird, Paul Rosenbloom, Allen Newell
      Pages 201-223
    7. John Laird, Paul Rosenbloom, Allen Newell
      Pages 225-251
    8. John Laird, Paul Rosenbloom, Allen Newell
      Pages 253-272
    9. John Laird, Paul Rosenbloom, Allen Newell
      Pages 273-274
    10. Back Matter
      Pages 275-282
  4. Towards Chunking as a General Learning Mechanism

    1. Front Matter
      Pages 283-283
    2. John Laird, Paul Rosenbloom, Allen Newell
      Pages 285-286
    3. John Laird, Paul Rosenbloom, Allen Newell
      Pages 286-288
    4. John Laird, Paul Rosenbloom, Allen Newell
      Pages 288-290
    5. John Laird, Paul Rosenbloom, Allen Newell
      Pages 290-296
    6. John Laird, Paul Rosenbloom, Allen Newell
      Pages 296-297
    7. Back Matter
      Pages 297-299
  5. Back Matter
    Pages 301-313

About this book

Introduction

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, McDermott, 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.

Keywords

algorithms artificial intelligence control intelligence learning memory simulation

Authors and affiliations

  • John Laird
    • 1
  • Paul Rosenbloom
    • 2
  • Allen Newell
    • 3
  1. 1.Xerox Palo Alto Research CenterPalo AltoUSA
  2. 2.Stanford UniversityPalo AltoUSA
  3. 3.Carnegie-Mellon UniversityPittsburghUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4613-2277-1
  • Copyright Information Springer-Verlag US 1986
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4612-9405-4
  • Online ISBN 978-1-4613-2277-1
  • Series Print ISSN 0893-3405
  • Buy this book on publisher's site