Proceedings of the Fifth National Conference on Artificial Intelligence
Sponsored by the Association for the Advancement of Artificial Intelligence
Tom Kehler and Stan Rosenschein, Program Cochairs
August 11-15, 1986 Philadelphia, Pennsylvania. Published by The AAAI Press, Menlo Park, California. This proceedings is also available in book and CD format.
Please Note: Abstracts are linked to individual titles, and will appear in a separate browser window. Full-text versions of the papers are linked to the abstract text. Access to full text may be restricted to AAAI members. PDF file sizes may be large!
Contents
Science
Automated Reasoning
Reasoning with Simplifying Assumptions: A Methodology and Example / 2
Yishai Feldman and Charles Rich, MIT AI Laboratory
Tweety--Still Flying: Some Remarks on Abnormal Birds, Applicable Rules and a Default Prover / 8
Gerhard Brewka, Gesellschaft für Mathematik und Datenverarbeitung
Representing Actions with an Assumption-Based Truth Maintenance System / 13
Paul H. Morris and Robert A. Nado, IntelliCorp
Automatic Programming
Automatic Compilation of Logical Specifications into Efficient Programs / 21
Donald Cohen, University of Southern California / Information Sciences Institute
Factual Knowledge for Developing Concurrent Programs / 26
Alberto Pettorossi, IASI CNR, and Andrzej Skowron, Warsaw University and University of North Carolina
Planning
Generalized Plan Recognition / 32
Henry A. Kautz and James F. Allen, University of Rochester
A Logic of Deliberation / 38
Marvin Belzer, University of Georgia
Physics for Robots / 44
James G. Schmolze, BBN Laboratories, Inc.
Cooperation without Communication / 51
Michael R. Genesereth, Matthew L. Ginsberg and Jeffrey S. Rosenschein, Stanford University
Incremental Planning to Control a Blackboard-based Problem Solver / 58
Edmund H. Durfee and Victor R. Lesser, University of Massachusetts
An Adaptive Planner / 65
Richard Alterman, University of California, Berkeley
The Representation of Events in Multiagent Domains / 70
Michael P. Georgeff, SRI International
Planning with Abstraction / 76
Josh Tenenberg, University of Rochester
Generating Perception Requests and Expectations to Verify the Execution of Plans / 81
Richard J. Doyle, David J. Atkinson and Rajkumar S. Doshi, Jet Propulsion Laboratory
A Representation of Action Structures / 89
Erik Sandewall and Ralph Ronnquist, Linkoping University
Qualitative Reasoning and Diagnosis
Order of Magnitude Reasoning / I00
Olivier Raiman, IBM Paris Scientific Center
Doing Time: Putting Qualitative Reasoning on Firmer Ground / 105
Brian C. Williams, MIT AI Laboratory
Interpreting Measurements of Physical Systems / 113
Kenneth D. Forbus, University of Illinois, Urbana
Commonsense Arithmetic Reasoning / 118
Reid Simmons, MIT AI Laboratory
A Reasoning Model Based on an Extended Dempster- Shafer Theory / 125
John Yen, University of California, Berkeley
Reasoning about Multiple Faults / 132
Johan de Kleer, Xerox Palo Alto Research Center, and Brian Williams, MIT AI Laboratory
Plausibility of Diagnostic Hypotheses: The Nature of Simplicity / 140
Yun Peng and James A. Reggia, University of Maryland
Search
A Unified Theory of Heuristic Evaluation Functions and its Application to Learning / 148
Jens Christensen, Stanford University, and Richard Korf, University of California, Los Angeles
Choosing Directions for Rules / 153
Richard Treitel and Michael R. Genesereth, Stanford University
An Algorithmic Solution of N-Person Games / 158
Carol A. Luckhart and Keki B. Irani, University of Michigan
Making Best Use of Available Memory When Searching Game Trees / 163
Subir Bhattacharya and Amitava Bagchi, Indian Institute of Management, Calcutta
Finding a Shortest Solution for the N x N Extension of the 15-PUZZLE Is Intractable / 168
Daniel Ratner and Manfred Warmuth, University of California, Santa Cruz
Joint and LPA*: Combination of Approximation and Search / 173
Daniel Ratner and Ira Pohl, University of California, Santa Cruz
Learning While Searching in Constraint-Satisfaction-Problems / 178
Rina Dechter, Hughes Aircraft AI Center and University of California, Los Angeles
Theorem Proving
Query Answering in Circumscriptive and Closed-World Theories / 186
Teodor C. Przymusinski, University of Texas at El Paso
Indefinite and GCWA Inference in Indefinite Deductive Databases / 191
Lawrence J. Henschen and Hyung-Sik Park, Northwestern University
An Integration of Resolution and Natural Deduction Theorem Proving / 198
Dale Miller and Amy Felty, University of Pennsylvania
Parallel Logical Inference and Energy Minimization / 203
Dana H. Ballard, University of Rochester
Uncertainty and Expert Systems
A Framework for Comparing Alternative Formalisms for Plausible Reasoning / 210
Eric J. Horvitz, David E. Heckerman and Curtis P. Langlotz, Stanford University
Using Decision Theory to Justify Heuristics / 215
Curtis P. Langlotz, Edward H. Shortliffe and Lawrence M. Fagan, Stanford University
Causal and Plausible Reasoning in Expert Systems / 220
Gerald Shao-Hung Liu, Sentry/Schlumberger Corporation
Advances in Rete Pattern Matching / 226
Marshall I. Schor, Timothy P. Daly, Ho Soo Lee and Beth R. Tibbitts, IBM T. J. Watson Research Center
Bayesian Inference without Point Estimates / 233
Paul Snow, Hawthorne College
Implementation of and Experiments with a Variable Precision Logic Inference System / 238
Peter Haddawy, University of Illinois, Urbana
Multi-Valued Logics / 243
Matthew L. Ginsberg, Stanford University
Cognitive Modeling and Education
Editorial Comprehension in OpEd through Argument Units / 250
Sergio J. Alvarado, Michael G. Dyer and Margot Flowers, University of California, Los Angeles
Uniform Parsing and Inferencing for Learning / 257
Charles E. Martin and Christopher K. Riesbeck, Yale University
Mixing Binary and Continuous Connection Schemes for Knowledge Access / 262
Noel Sharkey, R. F. E. Sutcliffe, W. Wobcke, University of Essex
CHEF: A Model of Case-Based Planning / 267
Kristian J. Hammond, Yale University
The Structure-Mapping Engine / 272
Brian Falkenhainer, Kenneth D. Forbus and Dedre Gentner, University of Illinois, Urbana
SNePS Considered as a Fully Intensional Propositional Semantic Network / 278
Stuart C. Shapiro and William J. Rapaport, SUNY Buffalo
A Quantitative Analysis of Analogy by Similarity / 284
Stuart J. Russell, Stanford University
Hypotheticals as Heuristic Device / 289
Edwina L. Rissland and Kevin D. Ashley, University of Massachusetts
Can a System Be Intelligent if It Never Gives a Damn? / 298
Thomas Edelson, Georgetown University
Debugging User Conceptions of Interpretation Processes / 303
M. J. Coombs and R. T. Hartley, New Mexico State University, and J. G. Stell, Manchester University
Imposing Structure on Linear Programming Problems: An Empirical Analysis of Expert and Novice Models / 308
Wanda Orlikowski and Vasant Dhar, New York University
Intelligent Tutoring Systems Based Upon Qualitative Model Evolutions / 313
Barbara Y. White and John R. Frederiksen, BBN Laboratories
An Analysis of Tutorial Reasoning about Programming Bugs / 320
David C. Littman, Jeannine Pinto and Elliot Soloway, Yale University
Knowledge Representation
Default Reasoning, Nonmonotonic Logics, and the Frame Problem / 328
Steve Hanks and Drew McDermott, Yale University
Inference in a Topically Organized Semantic Net / 334
Johannes de Haan and Lenhart Schubert, University of Alberta
On the Logic of Probabilistic Dependencies / 339
Judea Pearl, University of California, Los Angeles
A Four-Valued Semantics for Frame-Based Description Languages / 344
Peter F. Patel-Schneider, Schlumberger Palo Alto Research
On the Parallel Complexity of Some Constraint Satisfaction Problems / 349
Simon Kasif, The Johns Hopkins University
Primitives and Units for Time Specification / 354
Peter Ladkin, Kestrel Institute
Time Representation: A Taxonomy of Internal Relations / 360
Peter Ladkin, Kestrel Institute
A Representation for Collections of Temporal Intervals / 367
Bruce Leban, David D. McDonald and David R. Forster, University of Massachusetts
A Representation for Temporal Sequence and Duration in Massively Parallel Networks: Exploiting Link Interactions / 372
Hon Wai Chun, Brandeis University
Constraint Propagation Algorithms for Temporal Reasoning / 377
Marc Vilain, BBN Laboratories, and Henry Kautz, University of Rochester
Propagating Temporal Constraints for Scheduling / 383
Jean-Francois Rit, Laboratorie d'lnformatique Fondamentale et d'lntelligence Artificielle
Chronological Ignorance: Time, Nonmonotonicity, Necessity and Causal Theories / 389
Yoav Shoham, Yale University
A Comparison of the Commonsense and Fixed Point Theories of Nonmonotonicity / 394
Frank M. Brown, University of Kansas
The Logic of Persistence / 401
Henry A. Kautz, University of Rochester
Pointwise Circumscription: Preliminary Report / 406
Vladimir Lifschitz, Stanford University
A Viewpoint Distinction in the Representation of Propositional Attitudes / 411
John A. Barnden, Indiana University
Self-Reference, Knowledge, Belief, and Modality / 416
Donald Perlis, University of Maryland
Is Belief Revision Harder Than You Thought? / 421
Marianne Winslett, Stanford University
What Can Machines Know? On the Epistemic Properties of Machines / 428
Ronald Fagin, Joseph Y. Halpern and Moshe Y. Vardi, IBM Almaden Research Center
Learning
A Metalinguistic Approach to the Construction of Knowledge Base Refinement Systems / 436
Allen Ginsberg AT&T Bell Laboratories
Rule Refinement Using the Probabilistic Rule Generator / 442
Won D. Lee and Sylvian R. Ray, University of Illinois, Urbana
On Debugging Rule Sets When Reasoning Under Uncertainty / 448
David C. Wilkins and Bruce G. Buchanan, Stanford University
Discovering Functional Formulas through Changing Representation Base / 455
Mieczyslaw M. Kokar, Northeastern University
Selecting Appropriate Representations for Learning from Examples / 460
Nicholas S. Flann and Thomas G. Dietterich, Oregon State University
Optimal Allocation of Very Limited Search Resources / 467
David Mutchler, Naval Research Laboratory
Inductive Inference by Refinement / 472
P. D. Laird, Yale University
Preliminary Steps Toward the Automation of Induction / 477
Stuart J. Russell, Stanford University
Quantifying the Inductive Bias in Concept Learning (extended abstract) / 485
David Haussler, University of Denver
The FERMI System: Inducing Iterative Macro-Operators from Experience / 49
Patricia W. Cheng and Jaime G. Carbonell, Carnegie Mellon University0
A Case Study of Incremental Concept Induction / 496
Jeffrey Schlimmer and Douglas Fisher, University of California, lrvine
Beyond Incremental Processing: Tracking Concept Drift / 502
Jeffrey Schlimmer and Richard Granger, Jr., University of California, lrvine
Conceptual Clustering Using Relational Information / 508
Bernd Nordhausen, University of California, lrvine
Generating Predictions to Aid the Scientific Discovery Process / 513
Randy Jones, University of California, Irvine
Factorization in Experiment Generation / 518
Devika Subramanian and Joan Feigenbaum, Stanford University
A Case-Based Reasoning System for Subjective Assessment / 523
William M. Bain, Yale University
STAHLp: Belief Revision in Scientific Discovery / 528
Donald Rose and Pat Langley, University of California, lrvine
Not the Path to Perdition: The Utility of Similarity-Based Learning / 533
Michael Lebowitz, Columbia University
Constructing and Refining Causal Explanations from an Inconsistent Domain Theory / 538
Richard J. Doyle, MIT AI Laboratory
The Role of Prior Causal Theories in Generalization / 545
Michael Pazzani, Michael Dyer and Margot Flowers, University of California, Los Angeles
A Domain Independent Explanation-Based Generalizer / 551
Raymond Mooney and Scott Bennett, University of Illinois at Urbana-Champaign
Learning to Anticipate and Avoid Planning Problems through the Explanation of Failures / 556
Kristian J> Hammond, Yale University
Mapping Explanation-Based Generalization onto Soar / 561
Paul S. Rosenbloom, Stanford University, and John E. Laird, Xerox Palo Alto Research Center
Learning by Failing to Explain / 568
Robert J. Hall, MIT AI Laboratory
Natural Language
Dynamically Combining Syntax and Semantics in Natural Language Processing / 574
Steven L. Lytinen, Yale University
Dual Frames: A New Tool for Semantic Parsing / 579
Jean-Louis Binot, lBM T. J. Watson Research Center and Daniel Ribbens, University of Liege
A Neat Theory of Marker Passing / 584
Eugene Charniak, Brown University
Using Commonsense Knowledge to Disambiguate Prepositional Phrase Modifiers / 589
Kathleen Dahlgren, IBM Los Angeles Scientific Center, and J. McDowell, University of Southern California
Beyond Exploratory Programming: A Methodology and Environment for Conceptual Natural Language Processing / 594
Philip Johnson and Wendy Lehnert, University of Massachusetts
Are There Preference Trade-offs in Attachment Decisions? / 600
Lenhart K. Schubert, University of Alberta
Comprehension-Driven Generation of Meta-Technical Utterances in Math Tutoring / 606
Ingrid Zukerman and Judea Pearl, University of California, Los Angeles
A Logical-Form and Knowledge-Base Design for Natural Language Generation / 612
Norman K. Sondheimer, University of Southern California / Information Sciences Institute, and Bernhard Nebel, Technische Universitat Berlin
Understanding Plan Ellipsis / 619
Diane J. Litman, AT&T Bell Laboratories
Perception and Robotics
A Simple Motion Planning Algorithm for General Robot Manipulators / 626
Tomas Lozano-Perez, MIT AI Laboratory
Tactile Recognition by Probing: Identifying a Polygon on a Plane / 632
R. E. Ellis, Edward M. Riseman and Allen R. Hanson, University of Massachusetts
Abstraction and Representation of Continuous Variables in Connectionist Networks / 638
Eric Saund, MIT AI Laboratory
SIMD Tree Algorithms for Image Correlation / 645
Hussein A. H. Ibrahim, John R. Kender and David Elliot Shaw, Columbia University
On the Reconstruction of a Scene from Two Unregistered Images / 652
Harit P. Trivedi, GEC Research Limited
Depth and Flow From Motion Energy / 658
David J. Heeger, University of Pennsylvania and SRI International
Shape from Darkness: Deriving Surface Information from Dynamic Shadows / 664
John R. Kender and Earl M. Smith, Columbia University
3-D Motion Recovery from Time-Varying Optical Flows / 670
Kwangyoen Wohn and Jian Wu, Harvard University
A Stochastic Approach to Stereo Vision / 676
Stephen T. Barnard, SRI International
Determining the 3-D Motion of a Rigid Surface Patch without Correspondence, under Perspective Projection / 681
John (Yiannis) Aloimonos and Isidore Rigoutsos, University of Rochester
A Stereo Integral Equation / 689
Grahame B. Smith, SRI International
Parts: Structured Descriptions of Shape / 695
Alex P. Pentland, SRI International and Center for the Study of Language and Information, Stanford University
Constraint-Theorems on the Prototypification of Shape / 702
Michael Leyton, Harvard University
Linear Image Features in Stereopsis / 707
Michael Kass, Schlumberger Palo Alto Research
Signal Matching through Scale Space / 714
Andrew Witkin, Demetri Terzopoulos and Michael Kass, Schlumberger Palo Alto Research
Engineering
AI and Education
Teaching a Complex Industrial Process / 722
Beverly Woolf, University of Massachusetts; Darrell Blegen, Johan H. Jansen and Arie Verloop, J. H. Jansen Company, Inc.
AI Language and Architectures
The Butterfly(TM) Lisp System / 730
Seth A. Steinberg, Don Allen, Laura Bagnall and Curtis Scott, BBN Laboratories
CIS: A Massively Concurrent Rule-Based System / 735
Guy E. Blelloch, MIT AI Laboratory
A Software and Hardware Environment for Developing AI Applications on Parallel Processors / 742
R. Bisiani, Carnegie Mellon University
Connection Machine Stereomatching / 748
Michael Drumheller, Thinking Machines Corporation
Merging Objects and Logic Programming: Relational Semantics / 754
Herve Gallaire, ECRC
Domains in Logic Programming / 759
P. Van Hentenryck and M. Dincbas, ECRC
Comments on Kornfeld’s Equality for Prolog: E-Unification as a Mechanism for Augmenting the Prolog Search Strategy / 766
E. W. Elcock and P. Hoddinott, University of Western Ontario
Applications
Saturn: An Automatic Test Generation System for Digital Circuits / 778
Narinder Singh, Stanford University
An Expert System for Chorale Harmonization / 784
Kemal Ebcioglu, SUNY Buffalo
A Rule-Based System for Document Understanding / 789
Debashish Niyogi and Sargur N. Srihari, SUNY Buffalo
Qualitative Simulation of Semiconductor Fabrication / 795
John Mohammed, Schlumberger Palo Alto Research, and Reid Simmons, MIT AI Laboratory
Knowledge-Based Simulation of a Glass Annealing Process: An AI Application in the Glass Industry / 800
Richard A. Herrod and Jeff Rickel, Texas Instruments
Plan Recognition for Airborne Tactical Decision Making / 805
Jerome Azarewicz, Glenn Fala, Ralph Fink and Christof Heithecker, Naval Air Development Center
Application of Knowledge Based Systems Technology to Triple Quadrupole Mass Spectrometry / 812
Hal R. Brand and Carla M. Wong, Lawrence Livermore Lab.
Designing for Manufacturability in Riveted Joints / 820
A. R. Kilhoffer, Cincom Systems, Inc. , and K. G. Kempf, FMC Corporation
Design and Experimentation of an Expert System for Programming In-the-Large / 1155
Giovanni Guida, Marco Guida, Sergio Gusmeroli and Marco Somalvico, Milan Polytechnic Artificial Intelligence Project
A Graph-Oriented Knowledge Representation and Unification Technique for Automatically Selecting and Invoking Software Functions / 825
William F. Kaemmerer and James A. Larson, Honeywell Computer Sciences Center
SCAT: An Automatic-Programming Tool for Telecommunications Software / 831
S. Barra, O. Ghisio and F. Manucci, CSELT
PIES: An Engineers Do-lt-Yourself Knowledge System for Interpretation of Parametric Test Data / 836
Jeff Yung-Choa Pan and Jay M. Tenenbaum, Schlumberger Palo Alto Research
StarPlan II: Evolution of an Expert System / 844
Ronald W. Siemens, Marilyn Golden and Jay C. Ferguson, Ford Aerospace & Communications Corporation
System Integration of Knowledge-Based Maintenance Aids / 851
Christopher Powell, Cynthia Pickering and Keith Wescourt, FMC Corporation
A Knowledge-Based Framework for Design / 856
Sanjay Mittal and Agustin Araya, Xerox Palo Alto Research Center
Knowledge Engineering Issues in VLSI Synthesis / 866
W. H. Wolf, T. J. Kowalski, M. C. McFarland, S. J. , AT&T Bell Laboratories
Artificial Intelligence and Design: A Mechanical Engineering View / 872
John R. Dixon, University of Massachusetts
Integration of Multiple Knowledge Sources in ALADIN: An Alloy Design System / 878
M. D. Rychener, I. Hulthage, and Mark S. Fox, Carnegie Mellon University; and M. Farinacci, ALCOA Laboratories
Automated Reasoning
Generating Tests by Exploiting Designed Behavior / 884
Mark Harper Shirley, MIT AI Laboratory
Evidential Reasoning with Temporal Aspects / 891
Thomas C. Fall, Advanced Decision Systems
A Framework for Evidential-Reasoning Systems / 896
John D. Lowrance, Thomas D. Garvey and Thomas M. Strat, SRI International
PROTEAN: Deriving Protein Structure from Constraints / 904
Barbara Hayes-Roth, Bruce Buchanan, Olivier Lichtarge, Mike Hewtt, Russ Altman, James Brinkley, Craig Cornelius, Bruce Duncan and Oleg Jardetzky, Stanford University
Back to Backtracking: Controlling the ATMS / 910
Johan de Kleer, Xerox Palo Alto Research Center, and Brian C. Williams, MIT AI Laboratory
Knowledge-Based Validity Maintenance for Production Systems / 918
Philip R. Schaefer, Martin Marietta Denver Aerospace; Isil H. Bozma, Yale University; and Randall D. Beer, Case Western Reserve University
A Parallel Self-Modifying Default Reasoning System / 923
Jack Minker, Donald Perlis and Krishnan Subramanian, University of Maryland
Towards Explicit Integration of Knowledge in Expert Systems: An Analysis of MYClN’s Therapy Selection Algorithm / 928
Jack Mostow, Rutgers University, and William Swartout, University of Southern California / Information Sciences Institute
The Shifting Terminological Space: An Impediment to Evolvability / 936
William Swartout and Robert Neches. University of Southern California / Information Sciences Institute
Using Qualitative Reasoning to Understand Financial Arithmetic / 942
Chidanand Apte and Se June Hong, IBM T. J. Watson Research Center
Knowledge Acquisition
MOLE: A Knowledge Acquisition Tool that Uses its Head / 950
Larry Eshelman and John McDermott, Carnegie Mellon University
Problem Features that Influence the Design of Expert Systems / 956
Paul J. Kline and Steven B. Dolins, Texas Instruments, Inc.
Knowledge Level Engineering: Ontological Analysis / 963
James H. Alexander, Michael J. Freiling, Sheryl J. Shulman, Jeffery L. Staley, Steven Rehfuss and Steven L. Messick, Tektronix Laboratories
Framework for Prototyping Expert Systems for Financial Applications / 969
Jacob Y. Friedman and Atul Jain, Coopers and Lybrand
Knowledge Representation
Recent Developments in NIKL / 978
Thomas S. Kaczmarek, Raymond Bates and Gabriel Robins, University of Southern California / Information Sciences Institute
A Hybrid Structured Object and Constraint Representation Language / 986
David R. Harris, Sanders Associates
A Knowledge Representation Technique for Systems Dealing with Hardware Configuration / 991
Jeff Pierick, ROLM Corporation
AGNESS: A Generalized Network-based Expert System Shell / 996
James R. Slagle, Michael R. Wick and Marius O. Poliac, University of Minnesota
SYNTEL(TM): Knowledge Programming Using Functional Representations / 1003
Rene Reboh and Tore Risch, Syntelligence, Inc.
GBB: A Generic Blackboard Development System / 1008
Daniel D. Corkill, Kevin Q. Gallagher and Kelly E. Murray, University of Massachusetts
ISCS-A Tool Kit for Constructing Knowledge-based System Configurators / 1015
Harry Wu, Hon Wai Chun and Alejandro Mimo, Honeywell Information Systems
Learning
A System Which Uses Examples to Learn VLSI Structure Manipulation / 1024
Richard H. Lathrop, MIT AI Laboratory, and Robert S. Kirk, Gould/AMI Semiconductors, Inc.
Refining the Knowledge Base of a Diagnostic Expert System: An Application of Failure-Driven Learning / 1029
Michael J. Pazzani, The Aerospace Corporation
Learning Arithmetic Problem Solver / 1036
Masamichi Shimura and Seiichiro Sakurai, Tokyo Institute of Technology
The Multi-Purpose Incremental Learning System AQ15 and Its Testing Application to Three Medical Domains / 1041
Ryszard Michalski, Igor Mozetic, Jiarong Hong and Nada Lavrac, University of Illinois at Urbana-Champaign
Natural Language
Restricting Logic Grammars / 1048
Edward P. Stabler, Jr., Quintus Computer Systems
A Parser for Portable NL Interfaces Using Graph-Unification-Based Grammars / 1053
Kent Wittenburg, MCC
A Chinese Natural Language Processing System Based Upon the Theory of Empty Categories / 1059
Long-Ji Lin and Lin-Shan Lee, National Taiwan University; James Huang, Cornell University; and K. J. Chen, Academia Sinica
Adapting MUMBLE: Experience with Natural Language Generation / 1063
Robert Rubinoff, University of Pennsylvania
Generating Medical Case Reports with the Linguistic String Parser / 1069
Ping-Yang Li, University of Alabama; Martha Evens, Illinois Institute of Technology; and Daniel Hier, Michael Reese Hospital
A Relational Representation of Modification / 1074
Samuel Bayer, The MITRE Corporation
Categorical Disambiguation / 1079
Gavan Duffy, University of Texas at Austin
Focusing and Reference Resolution in PUNDIT / 1083
Deborah A. Dahl, SDC--A Burroughs Company
ATRANS Automatic Processing of Money Transfer Messages / 1089
Steven L. Lytinen and Anatole Gershman, Cognitive Systems, Inc.
Robotics
A Mobile Robot with Onboard Parallel Processor and Large Workspace Arm / 1096
Rodney A. Brooks, Jon Connell and Anita Flynn, MIT AI Laboratory
Robot Navigation in Unknown Terrains of Convex Polygonal Obstacles Using Learned Visibility Graphs / 1101
B. John Oommen, Carleton University; S. S. Iyengar and Nageswara S. V. Rao, Louisiana State University; and R. L. Kashyap, Purdue University
Planning Sensorless Robot Manipulation of Sliding Objects / 1107
M. A. Peshkin and A. C. Sanderson, Carnegie Mellon University
And/Or Graph Representation of Assembly Plans / 1113
Luiz S. Homem de Mello and Arthur C. Sanderson, Carnegie Mellon University
Vision and Signal Understanding
Noise-Tolerant Range Analysis for Autonomous Navigation / 1122
Aviv Bergman and Cregg K. Cowan, SRI International
A Real-Time Road Following and Road Junction Detection Vision System for Autonomous Vehicles / 1127
Darwin Kuan, Gary Phipps, A-Chuan Hsueh, FMC Corporation
Object Recognition in Structured and Random Environments: Locating Address Blocks on Mail Pieces / 1133
Ching-Huei Wang and Sargur N. Srihari, SUNY Buffalo
A Signal-Symbol Approach to Change Detection / 1138
B. G. Lee, V. T. Tom and M. J. Carlotto, The Analytic Sciences Corporation
Invited Talks
Survey: On Default Reasoning / 1146
Raymond Reiter, University of Toronto
Survey: Natural Language Communication With Software Systems / 1146
Barbara J. Grosz and C. Ray Perrault, SRI International and Center for the Study of Language and Information, Stanford University
Survey: An Overview of Explanation-Based Learning / 1146
Gerald DeJong, University of Illinois, Urbana
Survey: Qualitative Reasoning: Past Present and Future / 1146
Kenneth D. Forbus, University of Illinois
Invited Talk: Viewing History of Science as Compiled Hindsight / 1146
Lindley Darden, University of Maryland
Invited Talk: The State-of-the-Art in Robotics and Vision / 1148
Tomas Lozano-Perez, MIT AI Laboratory
Invited Talk: Integrated Programming Paradigms / 1148
Daniel Bobrow, Xerox Palo Alto Research Center
Invited Talk: What’s Practical When in Natural Language Applications / 1148
Gary G. Hendrix, Symantec, Inc.
Invited Talk: What’s Doable in Knowledge-Based Systems? / 1148
Bruce Buchanan, Stanford University
Invited Talk: Symbolic Computing--Where We Are and Where Are We Going? / 1148
Howard Schrobe, Symbolics, Inc.
Panels
Learning in Massively Parallel Nets / 1149
Commentators: Drew McDermott, Yale University; Geoffrey Hinton, Carnegie Mellon University
President’s Panel: Past Present and Future Presidents Look at the Past Present and Future / 1150
Patrick Winston (chair), MIT AI Laboratory
Panel: Are AI Systems Ready to Be Trusted in Critical Applications? (Will They Ever Be?) / 1150
Peter Friedland (chair), Stanford University, Brian McCune, Advanced Decision Systems, Edward Shortliffe, Stanford University
Panel: AI and Education / 1150
Elliot Soloway (chair), Yale University; John Seely Brown, Xerox Palo Alto Research Center; Andy Molner, NSF; Lauren Resnick, The Learning Research Development Center; Roger Schank, Yale University
Panel: Directions for Expert Systems / 1150
Jan Aikins (chair), Aion Corporation; Frederick Hayes-Roth, Teknowledge; John McDermott, Carnegie Mellon University; Herbert Schorr, IBM; Reid Smith, Schlumberger Doll Research
Panel: Real-Time Performance in Problem Solving / 1150
Michael Fehling (chair), Teknowledge; Malcolm Acock, Carnegie Group; James Allen, University of Rochester; Michael Gieorgeff, SRI International and CSLI; Victor Lesser, University of Massachusetts; Robert Moore, LMI, Inc.
Panel: Financial Expert Systems / 1150
Peter E. Hart (chair), Syntelligence, Inc.; Norton Greenfeld, Applied Expert Systems; Walter Reitman, Palladian Software; Chuck Williams, Inference Corporation
Panel: Where Should the Intelligence in Intelligent Interfaces be Placed? / 1151
Tom Kaczmarek (chair), and Robert Neches, University of Southern California / Information Sciences Institute; John Seely Brown, Xerox PARC; Phil Hayes, Carnegie Mellon University; Tom Malone, MIT; Dick Waters, MIT; Bob Wilensky, University of California, Berkeley; Mike Williams, IntelliCorp
Panel: Knowledge Representation Meets Knowledge Acquisition: What Are the Needs and Where Is the Leverage? / 1153
Robert Neches (chair), University of Southern California / Information Sciences Institute; Richard Fikes, IntelliCorp; Casimir Kulikowski, Rutgers University; John McDermott, Carnegie Mellon University; Ramesh Patil, MIT
AAAI Digital Library
AAAI relies on your generous support through membership and donations. If you find these resources useful, we would be grateful for your support.