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Home / Conferences / AAAI Conference on Artificial Intelligence /

AAAI-87: Sixth National Conference on Artificial Intelligence

January 29, 2023

Sponsored by the Association for the Advancement of Artificial Intelligence


The Sixth National Conference on Artificial Intelligence (AAAI-87) was held July 13–17, 1987, in Seattle, Washington.

AI contains both scientific and engineering components. Since the goal of the field is constructing and understanding intelligent artifacts, neither component can stand alone. Both aspects of AI were represented at the conference. The scientific papers stressed the computational principles underlying cognition and perception in man and machine. The engineering papers highlighted the pragmatic issues in building and applying AI systems, providing theoretical analyses and empirical demonstrations.

Last year the conference was split in two, organized by Science and Engineering. While people appreciated the chance to focus their time, many felt the temporal split between the programs to be arbitrary. This year we organized the sessions so that areas are, as much as possible, temporally concentrated on adjacent days. Those who wish mainly to attend sessions in a particular area can focus on just those days. Furthermore, we organized sessions to minimize conflicts with the annual meeting of the Cognitive Science Society, which overlaps on Thursday and Friday.

Paper sessions were scheduled for Monday, Tuesday, Thursday, and Friday. Tutorials were scheduled for Monday, Tuesday, and Thursday. Wednesday was a plenary session dedicated to matters of common interest. There will be a presidential address by Patrick Winston. The prizewinning papers, chosen to represent a broad variety of excellent AI work, were presented. In addition, we scheduled technical survey talks throughout the week to provide overviews of the state of the art in various of the subfields of AI. We intended these talks to be accessible to attendees who are not specialists in those subfields.

This year, 715 papers were submitted to the conference, and we accepted 149 of them. Each paper was reviewed by at least two members of the program committee. Our goal was to present only the best: well-written papers that advance the state of the art-either theoretical or applied. We explicitly rejected papers that were simply incremental advances, reimplementations of existing programs, or formalism without insights.

Kenneth Forbus and Howard Shrobe


The 1987 Best Paper Awards

The AAAI Best Paper Awards (formerly the Publishers’ Prize) were established in 1982 to recognize papers that report important, substantial research in an exemplary way. This year the Program Committee elected to select at most a single distinguished paper from each of the 16 topic areas. The intent was to provide wider exposure to outstanding work that spans the subareas of Artificial Intelligence rather than attempting to select only one or two papers.

Potential award-winning papers were nominated during the normal conference review process. Soon after the Program Committee meeting, several committee members, excluding those with nominated papers, were asked to read the entire set of nominated papers. Each of the prize committee members selected a subset of the nominated papers that he or she felt described especially important work and that were written in an outstanding fashion. The votes were tallied by several independent parties, and winners for each category clearly stood out among the rest. This year eight papers passed this rigorous additional review.

The Best Paper Awards are currently sponsored by the journal, Artificial Intelligence, published by Elsevier-North Holland. In addition to providing a cash prize, Artificial Intelligence has offered each award winner the opportunity to publish the paper in the journal without further peer review, thus assuring a speedy publication.

The Program Committee is pleased to present the 1987 AAAI Best Paper Awards for outstanding work to the following authors:

Automated Reasoning-Planning

  • “Incremental Causal Reasoning”

    Thomas Dean and Mark Boddy, Brown University

Commonsense Reasoning

  • “An Approach to Default Reasoning Based on a First-Order Conditional Logic”


    James P. Delgrande, Simon Fraser University

Engineering Problem-Solving

  • “PROMPT: An Innovative Design Tool”

    Seshashayee Murthy and Sanjaya Addanki, IBM T. J. Watson Research Center

Knowledge Representation

  • “Curing Anomalous Extensions”

    Paul Morris, IntelliCorp

Machine Architectures and Computer Languages

  • “Non-Deterministic Lisp with Dependency-directed Backtracking”

    Ramin Zabih, Stanford University, and David McAllester and David Chapman, Massachusetts Institute of Technology

Machine Learning

  • “Defining Operationality for Explanation-based Learning”


    Richard Keller, Rutgers University

Natural Language Processing

  • “Word-Order Variation in Natural Language Generation”


    Aravind Joshi, University of Pennsylvania

Perception-Vision

  • “Energy Constraints on Deformable Models: Recovering Shape and Non-Rigid Motion”
    Demetri Terzopoulos, Andrew Witkin and Michael Kass, Schiumberger Palo Alto Research

AAAI-87 Organizers and Program Committee

Conference Chair
Jay M. Tenenbaum, Fairchild Camera and Instrument Corporation

Program Cochair
Kenneth Forbus (Science), University of Illinois-Urbana

Program Cochair
Howard Shrobe (Engineering), Symbolics

Associate Program Cochairs
Robert Cassels, Symbolics
Brian Faikenhainer, University of Illinois-Urbana
Steven Rowley, Symbolics

Tutorial Chair
William J. Clancey, Stanford University

Workshop Chair
Joseph Katz, The MITRE Corporation

Volunteer Coordinator
Richard Feifer, University of California, Los Angeles


Program Committee Members

James Allen, University of Rochester 
Narinda Ahuju, University of Illinois-Urbana 
Douglas Appelt, SRI International 
David Barstow, Schlumberger Doll Research Center 
Ken Bowen, Syracuse University 
Rod Brooks, Massachusetts Institute of Technology 
Bruce Brunstein, Bolt Bernack & Newman 
David Chapman, Massachusetts Institute of Technology 
Greg Clemenson, IntelliCorp 
Paul Cohen, University of Massachusetts 
Al Davis, Schlumberger Palo Alto Research 
Randall Davis, Massachusetts Institute of Technology 
Johan de Kleer, Xerox Palo Alto Research Center 
Tom Dean, Brown University 
Jerry DeJong, University of Illinois-Urbana 
Thomas Dietterich, Oregon State University 
Andy Disessa, University of California, Berkeley 
Robert Filman, IntelliCorp 
Joe Goguen, SRI International 
Eric Grimson, Massachusetts Institute of Technology 
Mehdi Harandi, University of Illinois-Urbana 
Peter Hart, Syntelligence 
Patrick Hayes, Schlumberger Palo Alto Research 
James Hollan, MCC 
David Israel, SRI International 
Elaine Kant, Schlumberger Doll Research Center 
Joseph Katz, The Mitre Corporation 
Kurt Konolige, SRI International 
Richard Korf, University of California, Los Angeles 
Ted Kowalski, AT&T Bell Laboratories 
Ben Kuipers, University of Texas at Austin 
Vipin Kumar, University of Texas at Austin 
John Laird, University of Michigan 
Patrick Langley, University of California, Irvine 
Wendy Lehnert, University of Massachusetts 
Mitch Marcus, AT&T Bell Laboratories 
Tom Mitchell, Carnegie Mellon University 
John Mohammed, Schlumberger Palo Alto Research 
Peter Patel-Schneider, Schlumberger Palo Alto Research 
Judea Pearl, University of California, Los Angeles 
Sandy Pentland, SRI International 
Larry Rendell, University of Illinois-Urbana 
Bruce Roberts, Bolt, Bernack & Newman 
Paul Rosenbloom, Stanford University 
Jeffrey Schrager, Xerox Palo Alto Research Center 
Len Schubert, University of Alberta 
Reid Smith, Schlumberger Palo Alto Research 
Guy Steele, Thinking Machines Corporation 
Mark Stickel, SRI International 
William Swartout, USC-Information Sciences Institute 
Peter Szolovits, Massachusetts Institute of Technology 
J. Martin Tenenbaum, Schlumberger Palo Alto Research 
Demetri Terzopoulos, Schlumberger Palo Alto Research 
David Touretzky, Carnegie Mellon University 
Marc Vilain, Bolt, Bernack & Newman 
Bonnie Webber, University of Pennsylvania 
Robert Wilensky, University of California, Berkeley 
David Wilkins, SRI International 
Yorick Wilks, New Mexico State University 
Brian Williams, Massachusetts Institute of Technology 
Chuck Williams, Inference Corporation 
Robert Woodham, University of British Columbia 
William Woods, Applied Expert Systems 
Beverly Woolf, University of Massachusetts 

Auxiliary Reviewers

Richard M. Adler 
Ed Altman 
Harlyn Baker 
Jane E. Barnett 
Scott Bennett 
Dorethea Blostein 
Steve Blostein 
Melissa P. Chase 
Steve Chien 
William Clancey 
Mike Coombs 
Murray Daniels 
Chris Debrunner 
Sylvia Candelaria de Ram 
Elizabeth M. Cholawsky 
Eric Dietrich 
Thomas A. Doehne 
Adam Farquhar 
David Farwell 
Dan Fass 
Stuart Goldkind 
Andrew Haas 
Barbara Hayes-Roth 
Daniel Hodnett 
John Hotchkiss 
Daniel Huttenlocher 
Vincent Hwang 
Yong Hwang 
W. Lewis Johnson 
Lester J. Holtzblatt
Candace Kalish 
Michael Kass 
David Krieger 
Rense Lang 
Yvan A. Leclerc 
Y. Lin 
Steven Litvintchouk 
Judith Marcet 
Richard Marcotte 
Chris Matheus 
Paul McKevitt 
Bartlett Mel 
Thomas C. Mitchell 
Ray Mooney 
Dana Nau 
H. Keith Nishihara 
Louis Odette 
Derek Partridge 
Richard Piazza 
Jordon Pollack 
Bruce Porter 
Curt Powley 
Myra Jean Prelle 
Krish Purswani 
Shankar Rajamoney 
Elisha Sacks 
Steven Salzberg 
James Schmolze 
Glen Shafer 
Jude Shavlik 
A. Shenoy 
Reid Simmons 
Brian Slator 
Steve Smoliar 
James Stansfield 
Martha Steenstrup 
Baoz Super 
David Voth 
Dan Weld 
Michael Weliman 
Juyang Weng 
Carl Werowinski 
Andrew Witkin 
Thomas Wu 
Dorothy H. Yu 
Monte Zweben

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