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Proceedings of the Eleventh National Conference on Artificial Intelligence

Sponsored by the Association for the Advancement of Artificial Intelligence

Richard Fikes and Wendy Lehnert, Program Cochairs

July 11-15, 1993, Washington, D.C. 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

Preface

AAAI Organization

Best Paper Award

Automated Reasoning

On Computing Minimal Models / 2
Rachel Ben-Eliyahu, University of California, Los Angeles and Rina Dechter, University of California, Irvine

On the Adequateness of the Connection Method / 9
Antje Beringer and Steffen Hölldobler, Intellektik, Informatik, TH Darmstadt

Rough Resolution: A Refinement of Resolution to Remove Large Literals / 15
Heng Chu and David A. Plaisted, University of North Carolina

Experimental Results on the Crossover Point in Satisfiability Problems / 21
James M. Crawford and Larry D. Auton, AT&T Bell Laboratories

Towards an Understanding of Hill-Climbing Procedures for SAT / 28
Ian P. Gent and Toby Walsh, University of Edinburgh

Reasoning with Characteristic Models / 34
Henry A. Kautz, Michael J. Kearns, and Bart Selman, AT&T Bell Laboratories

The Breakout Method for Escaping from Local Minima / 40
Paul Morris, IntelliCorp

An Empirical Study of Greedy Local Search for Satisfiability Testing / 46
Bart Selman and Henry A. Kautz, AT&T Bell Laboratories

Case-Based Reasoning

Projective Visualization: Acting from Experience / 54
Marc Goodman, Brandeis University

Representing and Using Procedural Knowledge to Build Geometry Proofs / 60
Thomas F. McDougal and Kristian J. Hammond, University of Chicago

Case-Based Diagnostic Analysis in a Blackboard Architecture / 66
Edwina L. Rissland, Jody J. Daniels, Zachary B. Rubinstein and David B. Skalak, University of Massachusetts

A Framework and an Analysis of Current Proposals for the Case-Based Organization and Representation of Procedural Knowledge / 73
Roland Zito-Wolf and Richard Alterman, Brandeis University

Complexity in Machine Learning

Cryptographic Limitations on Learning One-Clause Logic Programs / 80
William W. Cohen, AT&T Bell Laboratories

Pac-Learning a Restricted Class of Recursive Logic Programs / 86
William W. Cohen, AT&T Bell Laboratories

Learnability in Inductive Logic Programming: Some Basic Results and Techniques / 93
Michael Frazier and C. David Page, Jr., University of Illinois

Complexity Analysis of Real-Time Reinforcement Learning / 99
Sven Koenig and Reid G. Simmons, Carnegie Mellon University

Constraint-Based Reasoning

Arc-Consistency and Arc-Consistency Again / 108
Christian Bessire, University of Montpellier II and Marie-Odile Cordier, University of Rennes I

On the Consistency of General Constraint-Satisfaction Problems / 114
Philippe Jégou, Université de Provence

Integrating Heuristics for Constraint Satisfaction Problems: A Case Study / 120
Steven Minton, Sterling Software/NASA Ames Research Center

Coping With Disjunctions in Temporal Constraint Satisfaction Problems / 127
Eddie Schwalb and Rina Dechter, University of California, Irvine

Nondeterministic Lisp as a Substrate for Constraint Logic Programming / 133
Jeffrey Mark Siskind, University of Pennsylvania and David Allen McAllester, MIT Artifical Intelligence Laboratory

Slack-Based Heuristics for Constraint Satisfaction Scheduling / 139
Stephen F. Smith and Cheng-Chung Cheng, Carnegie Mellon University

A Constraint Decomposition Method for Spatio-Temporal Configuration Problems / 145
Toshikazu Tanimoto, Digital Equipment Corporation Japan

Extending Deep Structure / 152
Colin P. Williams and Tad Hogg, Xerox Palo Alto Research Center

Diagnostic Reasoning

Multiple Dimensions of Generalization In Model-Based Troubleshooting / 160
Randall Davis and Paul Resnick, Massachusetts Institute of Technology

Hybrid Case-Based Reasoning for the Diagnosis of Complex Devices / 168
M. P. Féret and J. I. Glasgow, Queen’s University

An Epistemology for Clinically Significant Trends / 176
Ira J. Haimowitz, MIT Laboratory for Computer Science and Isaac S. Kohane, Harvard Medical School

A Framework for Model-Based Repair / 182
Ying Sun and Daniel S. Weld, University of Washington

Discourse Analysis

A Method for Development of Dialogue Managers for Natural Language Interfaces / 190
Arne Jönsson, Linköping University

Mutual Beliefs of Multiple Conversants: A Computational Model of Collaboration in Air Traffic Control / 196
David G. Novick and Karen Ward, Oregon Graduate Institute of Science & Technology

An Optimizing Method for Structuring Inferentially Linked Discourse
Ingrid Zukerman and Richard McConachy, Monash University / 202

Distributed Problem Solving

A One-Shot Dynamic Coordination Algorithm for Distributed Sensor Networks / 210
Keith Decker and Victor Lesser, University of Massachusetts

Quantitative Modeling of Complex Computational Task Environments / 217
Keith Decker and Victor Lesser, University of Massachusetts

Overeager Reciprocal Rationality and Mixed Strategy Equilibria / 225
Edmund H. Durfee and Jaeho Lee, University of Michigan; Piotr J. Gmytrasiewicz, Hebrew University

Solving the Really Hard Problems with Cooperative Search / 231
Tad Hogg and Colin P. Williams, Xerox Palo Alto Research Center

A Fast First-Cut Protocol for Agent Coordination / 237
Andrew P. Kosoresow, Stanford University

Agents Contracting Tasks in Non-Collaborative Environments / 243
Sarit Kraus, Bar Ilan University

IPUS: An Architecture for Integrated Signal Processing and Signal Interpretation in Complex Environments / 249
Victor Lesser, Izaskun Gallastegi and Frank Klassner, University of Massachusetts; Hamid Nawab, Boston University

An Implementation of the Contract Net Protocol Based on Marginal Cost Calculations / 256
Tuomas Sandholm, University of Massachusetts

Intelligent User Interfaces

Generating Explanations of Device Behavior Using Compositional Modeling and Causal Ordering / 264
Patrice O. Gautier and Thomas R. Gruber, Stanford University

Generating Natural Language Descriptions with Examples: Differences between Introductory and Advanced Texts / 271
Vibhu O. Mittal and Cécile L. Paris, University of Southern California

Building Models to Support Synthesis in Early Stage Product Design / 277
R. Bharat Rao, Siemens Corporate Research, Inc. and Stephen C-Y. Lu, University of Illinois at Urbana-Champaign

A Conversational Model of Multimodal Interaction in Information Systems / 283
Adelheit Stein and Ulrich Thiel, German National Research Center for Computer Science

Large Scale Knowledge Bases

Matching 100,045 Learned Rules / 290
Robert B. Doorenbos, Carnegie Mellon University

Massively Parallel Support for Computationally Effective Recognition Queries / 297
Matthew P. Evett, James A. Hendler, and William A. Andersen, University of Maryland

Case-Method: A Methodology for Building Large-Scale Case-Based Systems / 303
Hiroaki Kitano, Hideo Shimazu and Akihiro Shibata, NEC Corporation

Automated Index Generation for Constructing Large-Scale Conversational Hypermedia Systems / 309
Richard Osgood and Ray Bareiss, Northwestern University

Machine Learning

Probabilistic Prediction of Protein Secondary Structure Using Causal Networks
Arthur L. Delcher, Loyola College; Simon Kasif, Harry R. Goldberg and William H. Hsu, Johns Hopkins University / 316

OC1: Randomized Induction of Oblique Decision Trees / 322
Sreerama Murthy, Simon Kasif and Steven Salzberg, Johns Hopkins University; Richard Beigel, Yale University

Finding Accurate Frontiers: A Knowledge-Intensive Approach to Relational Learning / 328
Michael Pazzani and Clifford Brunk, University of California, Irvine

Learning Non-Linearly Separable Boolean Functions With Linear Threshold Unit Trees and Madaline-Style Networks / 335
Mehran Sahami, Stanford University

Natural Language Generation

Generating Argumentative Judgment Determiners / 344
Michael Elhadad, Ben Gurion University of the Negev

Bidirectional Chart Generation of Natural Language Texts / 350
Masahiko Haruno and Makoto Nagao, Kyoto University; Yasuharu Den, ATR Interpreting Telecommunication Research Laboratories; and Yuji Matsumoto, Advanced Institute of Science and Technology, Nara

Communicative Acts for Generating Natural Language Arguments / 357
Mark T. Maybury, The MITRE Corporation

Corpus Analysis for Revision-Based Generation of Complex Sentences
Jacques Robin and Kathleen McKeown, Columbia University / 365

Natural Language Sentence Analysis

Machine Translation of Spatial Expressions: Defining the Relation between an Interlingua and a Knowledge Representation System
Bonnie J. Dorr and Clare R. Voss, University of Maryland / 374

Having Your Cake and Eating It Too: Autonomy and Interaction in a Model of Sentence Processing / 380
Kurt P. Eiselt and Kavi Mahesh, Georgia Institute of Technology; Jennifer K. Holbrook, Albion College

Efficient Heuristic Natural Language Parsing / 386
Christian R. Huyck and Steven L. Lytinen, University of Michigan

Towards a Reading Coach that Listens: Automated Detection of Oral Reading Errors / 392
Jack Mostow, Alexander G. Hauptmann, Lin Lawrence Chase and Steven Roth, Carnegie Mellon University

Nonmonotonic Logic

Minimal Belief and Negation as Failure: A Feasible Approach / 400
Antje Beringer and Torsten Schaub, TH Darmstadt

A Context-based Framework for Default Logics / 406
Philippe Besnard, IRISA and Torsten Schaub, TH Darmstadt

Propositional Logic of Context / 412
Sasa Buvac and Ian A. Mason, Stanford University

Generating Explicit Orderings for Non-monotonic Logics / 420
James Cussens, King’s College; Anthony Hunter, Imperial College; and Ashwin Srinivasan, Oxford University

Reasoning Precisely with Vague Concepts / 426
Nita Goyal and Yoav Shoham, Stanford University

Restricted Monotonicity / 432
Vladimir Lifschitz, University of Texas at Austin

Subnormal Modal Logics for Knowledge Representation / 438
Grigori Schwarz, Stanford University and Miroslaw Truszczynski, University of Kentucky

Algebraic Sematics for Cumulative Inference Operations / 444
Zbigniew Stachniak, University of Toronto

Novel Methods in Knowledge Acquisition

Question-based Acquisition of Conceptual Indices for Multimedia Design Documentation / 452
Catherine Baudin, RECOM Technologies/NASA Ames Research Center; Smadar Kadar, Sterling Software/Northwestern University/NASA Ames Research Center; Jody Gevins Underwood, Sterling Software Inc./NASA Ames Research Center; and Vinod Baya, Stanford University

Learning Interface Agents / 459
Pattie Maes and Robyn Kozierok, MIT Media Laboratory

Learning from an Approximate Theory and Noisy Examples / 465
Somkiat Tangkitvanich and Masamichi Shimura, Tokyo Institute of Technology

Scientific Model-Building as Search in Matrix Spaces / 472
Raúl E. Valdés-Pérez and Herbert A. Simon, Carnegie Mellon University; Jan M. Zytkow, Wichita State University

Plan Generation

An Average Case Analysis of Planning / 480
Tom Bylander, The Ohio State University

Granularity in Multi-Method Planning / 486
Soowon Lee and Paul S. Rosenbloom, University of Southern California

Threat-Removal Strategies for Partial-Order Planning / 492
Mark A. Peot, Stanford University and David E. Smith, Rockwell International

Postponing Threats in Partial-Order Planning / 500
David E. Smith, Rockwell International and Mark A. Peot, Stanford University

Plan Learning

Permissive Planning: A Machine Learning Approach to Linking Internal and External Worlds / 508
Gerald DeJong, University of Illinois at Urbana-Champaign and Scott Bennett, Systems Research and Applications Corporation

Relative Utility of EBG based Plan Reuse in Partial Ordering vs. Total Ordering Planning / 514
Subbarao Kambhampati and Jengchin Chen, Arizona State University

Learning Plan Transformations from Self-Questions: A Memory-Based Approach / 520
R. Oehlmann, D. Sleeman, and P. Edwards, University of Aberdeen

On the Masking Effect / 526
Milind Tambe, Carnegie Mellon University and Paul S. Rosenbloom, University of Southern California/Information Sciences Institute

Qualitative Reasoning

Qualitatively Describing Objects Using Spatial Prepositions / 536
Alicia Abella and John R. Kender, Columbia University

Numeric Reasoning with Relative Orders of Magnitude / 541
Philippe Dague, Université Paris Nord

Efficient Reasoning in Qualitative Probabilistic Networks / 548
Marek J. Druzdzel, Carnegie Mellon University and Max Henrion, Rockwell International Science Center

Generating Quasi-symbolic Representation of Three-Dimensional Flow / 554
Toyoaki Nishida, Advanced Institute of Science and Technology, Nara

Real-Time Planning and Simulation

Real-Time Self-Explanatory Simulation / 562
Franz G. Amador, Adam Finkelstein and Daniel S. Weld, University of Washington

A Comparison of Action-Based Hierarchies and Decision Trees for Real-Time Performance / 568
David Ash and Barbara Hayes-Roth, Stanford University

Planning With Deadlines in Stochastic Domains / 574
Thomas Dean, Leslie Pack Kaelbling, Jak Kirman and Ann Nicholson, Brown University

Task Interdependencies in Design-to-time Real-time Scheduling / 580
Alan Garvey, Marty Humphrey, and Victor Lesser, University of Massachusetts

Reasoning about Physical Systems

Sensible Scenes: Visual Understanding of Complex Structures through Causal Analysis / 588
Matthew Brand, Lawrence Birnbaum and Paul Cooper, Northwestern University

Intelligent Model Selection for Hillclimbing Search in Computer-Aided Design / 594
Thomas Ellman, John Keane, and Mark Schwabacher, Rutgers University

Ideal Physical Systems / 600
Brian Falkenhainer, Xerox Corporate Research & Technology

Numerical Behavior Envelopes for Qualitative Models / 606
Herbert Kay and Benjamin Kuipers, University of Texas at Austin

A Qualitative Method to Construct Phase Portraits / 614
Wood W. Lee, Schlumberger Dowell and Benjamin J. Kuipers, University of Texas

Understanding Linkages / 620
Howard E. Shrobe, Massachusetts Institute of Technology

CFRL: A Language for Specifying the Causal Functionality of Engineered Devices / 626
Marcos Vescovi, Yumi Iwasaki and Richard Fikes, Stanford University; B. Chandrasekaran, The Ohio State University

Model Simplification by Asymptotic Order of Magnitude Reasoning / 634
Kenneth Man-kam Yip, Yale University

Representation and Reasoning

Abduction As Belief Revision: A Model of Preferred Explanations / 642
Craig Boutilier and Veronica Becher, University of British Columbia

Revision by Conditional Beliefs / 649
Craig Boutilier, University of British Columbia and Moisés Goldszmidt, Rockwell International

Reasoning about Only Knowing with Many Agents / 655
Joseph Y. Halpern, IBM Almaden Research Center

All They Know About / 662
Gerhard Lakemeyer, University of Bonn

Representation for Actions and Motion

Towards Knowledge-Level Analysis of Motion Planning / 670
Ronen I. Brafman, Jean-Claude Latombe and Yoav Shoham, Stanford University

EL: A Formal, Yet Natural, Comprehensive Knowledge Representation / 676
Chung Hee Hwang and Lenhart K. Schubert, University of Rochester

The Semantics of Event Prevention / 683
Charles L. Ortiz, Jr., University of Pennsylvania

The Frame Problem and Knowledge-Producing Actions / 689
Richard B. Scherl and Hector J. Levesque, University of Toronto

Rule-Based Reasoning

The Paradoxical Success of Fuzzy Logic / 698
Charles Elkan, University of California, San Diego

Exploring the Structure of Rule Based Systems / 704
Clifford Grossner, Alun D. Preece, P. Gokul Chander, T. Radhakrishnan, and Ching Y. Suen, Concordia University

Supporting and Optimizing Full Unification in a Forward Chaining Rule System / 710
Howard E. Shrobe, Massachusetts Institute of Technology

Comprehensibility Improvement of Tabular Knowledge Bases / 716
Atsushi Sugiura and Yoshiyuki Koseki, NEC Corporation; Maximilian Riesenhuber, Johann Wolfgang Goethe-University

Search

Time-Saving Tips for Problem Solving with Incomplete Information / 724
Michael R. Genesereth and Illah R. Nourbakhsh, Stanford University

Decomposition of Domains Based on the Micro-Structure of Finite Constraint-Satisfaction Problems / 731
Philippe Jégou, Université de Provence

Innovative Design as Systematic Search / 737
Dorothy Neville and Daniel S. Weld, University of Washington

Generating Effective Admissible Heuristics by Abstraction and Reconstitution / 743
Armand Prieditis, University of California, Davis and Bhaskar Janakiraman, Silicon Graphics Inc.

Iterative Weakening: Optimal and Near-Optimal Policies for the Selection of Search Bias / 749
Foster John Provost, University of Pittsburgh

Pruning Duplicate Nodes in Depth-First Search
Larry A. Taylor and Richard E. Korf, University of California, Los Angeles / 756

Conjunctive Width Heuristics for Maximal Constraint Satisfaction / 762
Richard J. Wallace and Eugene C. Freuder, University of New Hampshire

Depth-First vs. Best-First Search: New Results / 769
Weixiong Zhang and Richard E. Korf, University of California, Los Angeles

Statistically-Based Natural Language Processing

Using an Annotated Language Corpus as a Virtual Stochastic Grammar / 778
Rens Bod, University of Amsterdam

Equations for Part-of-Speech Tagging / 784
Eugene Charniak, Curtis Hendrickson, Neil Jacobson and Mike Perkowitz, Brown University

Estimating Probability Distributions over Hypotheses with Variable Unification / 790
Dekai Wu, Hong Kong University of Science and Technology

Trainable Natural Language Systems

A Case-Based Approach to Knowledge Acquisition for Domain-Specific Sentence Analysis / 798
Claire Cardie, University of Massachusetts

KITSS: A Knowledge-Based Translation System for Test Scenarios / 804
Van E. Kelly and Mark A. Jones, AT&T Bell Laboratories

Automatically Constructing a Dictionary for Information Extraction Tasks / 811
Ellen Riloff, University of Massachusetts

Learning Semantic Grammars with Constructive Inductive Logic Programming / 817
John M. Zelle and Raymond J. Mooney, University of Texas

Vision Processing

Polly: A Vision-Based Artificial Agent / 824
Ian Horswill, MIT AI Laboratory

Range Estimation From Focus Using a Non-frontal Imaging Camera / 830
Arun Krishnan and Narendra Ahuja, University of Illinois

Learning Object Models from Appearance / 836
Hiroshi Murase, NTT Basic Research Labs and Shree K. Nayar, Columbia University

On the Qualitative Structure of Temporally Evolving Visual Motion Fields / 844
Richard P. Wildes, SRI David Sarnoff Research Center

Invited Talks

Tiger in a Cage: The Applications of Knowledge-based Systems (1993) / 852
Edward A. Feigenbaum, Stanford University

Artificial Intelligence as an Experimental Science / 853
Herbert A. Simon, Carnegie Mellon University

Video Abstracts

A Demonstration of the Circuit Fix-it Shoppe / 856
D. Richard Hipp and Ronnie W. Smith, Duke University

Instructo-Soar: Learning from Interactive Natural Language Instructions / 857
Scott B. Huffman and John E. Laird, The University of Michigan

Winning the AAAI Robot Competition / 858
David Kortenkamp, Marcus Huber, Charles Cohen, Ulrich Raschke, Clint Bidlack, Clare Bates Congdon, Frank Koss, and Terry Weymouth, The University of Michigan

AIR-SOAR: Intelligent Multi-Level Control / 860
Douglas J. Pearson, Randolph M. Jones, and John E. Laird, The University of Michigan

Selective Perception for Robot Driving / 862
Douglas A. Reece, University of Central Florida and Steven A. Shafer, Carnegie Mellon University

Computer Vision Research at the University of Massachusetts / 863
Edward M. Riseman and Allen R. Hanson, University of Massachusetts; J. Indigo Thomas and Members of the Computer Vision Laboratory, University of Massachusetts

A Fuzzy Controller for Flakey, the Robot / 864
Alessandro Saffiotti, Nicholas Helft, Kurt Konolige, John Lowrance, Karen Myers, Daniela Musto, Enrique Ruspini, and Leonard Wesley, SRI International

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