The Soar Papers: Research on Integrated Intelligence
Volume Two: 1989-1991
edited by Paul S. Rosenbloom, John E. Laird, and Alan Newell
(c) 1993 Massachusetts Institute of Technology
ISBN 0-262-68071-8 (pbk)
Soar is a state-of-the-art computational theory of the mind hat has had a significant impact in both artificial intelligence and cognitive science. Begun by John E. Laird, Allen Newell, and Paul S. Rosenbloom at Carnegie Mellon in the early 1980s, the Soar Project is an investigation into the architecture underlying intelligent behaviour with the goal of developing and applying a unified theory of natural and artificial intelligence. The Soar Papers - sixty-three articles in all - provides in one place the important ideas that have emerged from this project.
The book is organized chronologically, with an introduction that provides multiple according to major topics. Readers interested in the entire effort can read the articles in publication order, while readers interested only in a specific topic can go directly to a logical sequence of papers to read on that topic.
Paul S. Rosenbloom is Associate Professor of Computer Science at the Information Sciences Institute. John E. Laird is Associate Professor of Electrical Engineering and Computer Science at the University of Michigan. The late Allen Newell was U.A. and Helen Whitaker University Professor of Computer Science at Carnegie Mellon University.
The Soar Papers is included in the MIT Press Artificial Intelligence Series, edited by Michael Brady, Daniel Bobrow, and Randall Davis.
Author(s): Paul S. Rosenbloom, John E. Laird, and Alan Newell (editors)
Edition: 1
Publisher: MIT Press
Year: 1993
Language: English
Pages: 754
City: Cambridge, Massachusetts
1989
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705 - A Discussion of "The Chunking of Skill and Knowledge" (p. 840) by Paul S. Rosenbloom, John E. Laird and Allen Newell,
T. Bösser
713 - A Comparative Analysis of Chunking and Decision-Analytic Control,
O. Etzioni and T.M. Mitchell
719 - Toward a Soar Theory of Taking Instructions for Immediate Reasoning Tasks,
by R. L. Lewis, A. Newell, and T. A. Polk
https://www.researchgate.net/publication/235143318_Toward_a_Soar_Theory_of_Taking_Instructions_for_Immediate_Reasoning_Tasks
727 - Integrating Learning and Problem Solving within a Chemical Process Designer,
A.K. Modi and A.W. Westerberg
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.961.3572
754 - Symbolic Architectures for Cognition,
A. Newell, P.S. Rosenbloom, and J.E. Laird
793 - Approaches to the Study of Intelligence,
D.A. Norman
813 - Toward a Unified Theory of Immediate Reasoning in Soar,
T.A. Polk, A.Newell, and R.L. Lewis
https://www.researchgate.net/publication/235038694_Toward_a_Unified_Theory_of_Immediate_Reasoning_in_Soar
821 - A Symbolic Goal-Oriented Perspective on Connectionism and Soar,
P.S. Rosenbloom
840 - The Chunking of Skill and Knowledge,
P.S. Rosenbloom, J.E. Laird, and A. Newell
https://apps.dtic.mil/dtic/tr/fulltext/u2/a204702.pdf
860 - A Preliminary Analysis of the Soar Architecture as a Basis for General Intelligence,
P.S. Rosenbloom, J.E. Laird, A. Newell, and R. McCarl
897 - Towards the Knowledge Level in Soar: The Role of the Architecture in the Use of Knowledge,
P.S. Rosenbloom, A. Newell, and J.E. Laird
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.471.5624
934 - Tower-Noticing Triggers Strategy-Change in the Tower of Hanoi: A Soar Model,
D. Ruiz and A. Newell
https://apps.dtic.mil/dtic/tr/fulltext/u2/a218927.pdf
942 - "But How Did You Know To Do That?": What a Theory of Algorithm Design Process Can Tell Us,
D.M. Steier
959 - Abstraction in Problem Solving and Learning,
A. Unruh and P.S. Rosenbloom
https://www.ijcai.org/Proceedings/89-1/Papers/109.pdf
974 - A Computational Model of Musical Creativity (Extended Abstract),
S. Vicinanza and M.J. Prietula
982 - A Problem Space Approach to Expert System Specification,
G.R. Yost and A. Newell
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.75.5767
1990
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991 - Learning Control Knowledge in an Unsupervised Planning Domain,
C.B. Congdon
1004 - Task-Specific Architectures for Flexible Systems,
T.R. Johnson, J.W. Smith, and B. Chandrasekaran
1027 - Correcting and Extending Domain Knowledge Using Outside Guidance,
J.E. Laird, M. Hucka, E.S. Yager, and C.M. Tuck
1036 - Integrating Execution, Planning, and Learning in Soar for External Environments,
J.E. Laird and P.S. Rosenbloom
https://www.researchgate.net/publication/221605312_Integrating_Execution_Planning_and_Learning_in_Soar_for_External_Environments
1044 - Soar as a Unified Theory of Cognition: Spring 1990,
R.L. Lewis, S.B. Huffman, B.E. John, J.E. Laird, J.F. Lehman, A. Newell, P.S. Rosenbloom, T. Simon, and S.G. Tessler
https://www.researchgate.net/publication/262153030_Soar_as_a_unified_theory_of_cognition_spring_1990
1052 - Applying an Architecture for General Intelligence to Reduce Scheduling Effort,
M.J. Prietula, W. Hsu, D.M. Steier, and A. Newell
https://www.researchgate.net/publication/220668993_Applying_an_Architecture_for_General_Intelligence_to_Reduce_Scheduling_Effort
1096 - Knowledge Level and Inductive Uses of Chunking (EBL),
P.S. Rosenbloom and J. Aasman
https://www.researchgate.net/publication/221605086_Knowledge_Level_and_Inductive_Uses_of_Chunking_EBL
1103 - Responding to Impasses in Memory-Driven Behavior: A Framework for Planning,
P.S. Rosenbloom, S. Lee, and A. Unruh
1114 - Intelligent Architectures for Integration,
D.M. Steier
1123 - The Problem of Expensive Chunks and its Solution by Restricting Expressiveness,
M. Tambe, A. Newell, and P.S. Rosenbloom
https://www.researchgate.net/publication/220344149_The_Problem_of_Expensive_Chunks_and_Its_Solution_by_Restricting_Expressiveness
1173 - A Framework for Investigating Production System Formulations with Polynomially Bounded Match,
M. Tambe and P.S. Rosenbloom
https://teamcore.seas.harvard.edu/files/teamcore/files/1990_2_teamcore_aaai90_104.pdf
1181 - Two New Weak Method Increments for Abstraction,
A. Unruh and P.S. Rosenbloom
1190 - Using a Knowledge Analysis to Predict Conceptual Errors in Text-Editor Usage,
R.M. Young and J.Whittington
1991
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1199 - Neuro-Soar: A Neural-Network Architecture for Goal-Oriented Behavior,
B. Cho, P.S. Rosenbloom, and C.P. Dolan
1204 - Predicting the Learnability of Task-Action Mappings,
A. Howes and R.M. Young
https://dl.acm.org/doi/10.1145/108844.108861
1210 - Towards Real-Time GOMS: a model of expert behaviour in a highly interactive task
B.E. John, A.H. Vera, and A. Newell
https://www.researchgate.net/publication/232959282_Towards_real-time_GOMS_a_model_of_expert_behaviour_in_a_highly_interactive_task
1294 - Extending Problem Spaces to External Environments,
E. Laird
1309 - Integrating Knowledge Sources in Language Comprehension,
J.F. Lehman, R.L. Lewis, and A. Newell
https://www.researchgate.net/publication/239064454_Integrating_knowledge_sources_in_language_comprehension
1315 - A Constraint-Motivated Lexical Acquisition Model,
C.S. Miller and J.E. Laird
1321 - Formulating the Problem Space Computational Model,
A. Newell, G.R. Yost, J.E. Laird, P.S. Rosenbloom, and E. Altmann
1360 - A Computational Account of Children's Learning about Number Conservation,
T. Simon, A. Newell, and D. Klahr
1400 - Attentional Modeling of Object Identification and Search,
M. Wiesmeyer and J. Laird
1421 - Index
