Table of Contents

• Criticism, Culture, and the Automatic Generation of ArtworksLee Spector, Adam Alpern. 3-8
• CHATTERBOTS, TINYMUDS, and the Turing Test: Entering the Loebner Prize CompetitionMichael L. Mauldin. 16-21
• Social Interaction: Multimodal Conversation with Social AgentsKatashi Nagao, Akikazu Takeuchi. 22-28
• Experience-Aided Diagnosis for Complex DevicesMichel P. Féret, Janice I. Glasgow. 29-35
• Heuristic Harvesting of Information for Case-Based ArgumentEdwina L. Rissland, David B. Skalak, M. Timur Friedman. 36-43
• Case-Based Acquisition of User Preferences for Solution Improvement in Ill-Structured DomainsKatia P. Sycara, Kazuo Miyashita. 44-49
• Towards More Creative Case-Based Design SystemsLinda M. Wills, Janet L. Kolodner. 50-55
• Retrieving Semantically Distant Analogies with Knowledge-Directed Spreading ActivationMichael Wolverton, Barbara Hayes-Roth. 56-61
• A Reading AgentTamitha Carpenter, Richard Alterman. 62-67
• The Capacity of Convergence-Zone Episodic MemoryMark Moll, Risto Miikkulainen, Jonathan Abbey. 68-73
• A Model of Creative UnderstandingKenneth Moorman, Ashwin Ram. 74-79
• Ordering Relations in Human and Machine PlanningLee Spector, Mary Jo Rattermann, Kristen Prentice. 80-85
• Experimentally Evaluating Communicative Strategies: The Effect of the TaskMarilyn A. Walker. 86-93
• Auditory Stream Segregation in Auditory Scene Analysis with a Multi-Agent SystemTomohiro Nakatani, Hiroshi G. Okuno, Takeshi Kawabata. 100-107
• Simulating Creativity in Jazz PerformanceGeber Ramalho, Jean-Gabriel Ganascia. 108-113
• The Synergy of Music Theory and Al: Learning Multi-Level Expressive InterpretationGerhard Widmer. 114-119
• Knowledge Representation for VideoMarc Davis. 120-127
• Rule Based Updates on Simple Knowledge BasesChitta Baral. 136-141
• Recovering Software Specifications with Inductive Logic ProgrammingWilliam W. Cohen. 142-148
• An Empirical Evaluation of Knowledge Compilation by Theory ApproximationHenry A. Kautz, Bart Selman. 155-161
• ModGen: Theorem Proving by Model GenerationSun Kim, Hantao Zhang. 162-167
• Small is Beautiful: A Brute-Force Approach to Learning First-Order FormulasSteven Minton, Ian Underwood. 168-174
• Avoiding Tests for SubsumptionAnavai Ramesh, Neil V. Murray. 175-180
• On Kernel Rule s and Prime ImplicantsRon Rymon. 181-186
• Termination Analysis of OPS5 Expert SystemsHsiu-yen Tsai, Albert Mo Kim Cheng. 193-198
• Refining the Structure of Terminological Systems: Terminology = Schema + ViewsMartin Buchheit, Werner Nutt, Francesco M. Donini, Andrea Schaerf. 199-204
• A Description Classifier for the Predicate CalculusRobert M. MacGregor. 213-220
• Forming Beliefs about a Changing WorldFahiem Bacchus, Adam J. Grove, Joseph Y. Halpern, Daphne Koller. 222-229
• Probabilistic Evaluation of Counterfactual QueriesAlexander Balke, Judea Pearl. 230-237
• Causal Default Reasoning: Principles and AlgorithmsHector Geffner. 245-250
• Testing Physical SystemsPeter Struss. 251-256
• Abstraction in Bayesian Belief Networks and Automatic Discovery from Past Inference SessionsWai Lam. 257-262
• Noise and Uncertainty Management in Intelligent Data ModelingXiaohui Liu, Gongxian Cheng, John Xingwang Wu. 263-268
• Markov Chain Monte-Carlo Algorithms for the Calculation of Dempster-Shafer BeliefSerafín Moral, Nic Wilson. 269-274
• Focusing on the Most Important Explanations: Decision-Theoretic Horn AbductionPaul O Rorke. 275-280
• The Emergence of Ordered Belief from Initial IgnorancePaul Snow. 281-286
• The Hazards of Fancy BacktrackingAndrew B. Baker. 288-293
• Dead-End Driven LearningDaniel Frost, Rina Dechter. 294-300
• In Search of the Best Constraint Satisfaction SearchDaniel Frost, Rina Dechter. 301-306
• Solution Reuse in Dynamic Constraint Satisfaction ProblemsGérard Verfaillie, Thomas Schiex. 307-312
• Weak-Commitment Search for Solving Constraint Satisfaction ProblemsMakoto Yokoo. 313-318
• Planning from First Principles for Geometric Constraint SatisfactionSanjay Bhansali, Glenn A. Kramer. 319-324
• Expected Gains from Parallelizing Constraint Solving for Hard ProblemsTad Hogg, Colin P. Williams. 331-336
• Noise Strategies for Improving Local SearchBart Selman, Henry A. Kautz, Bram Cohen. 337-343
• Improving Repair-Based Constraint Satisfaction Methods by Value PropagationNobuhiro Yugami, Yuiko Ohta, Hirotaka Hara. 344-349
• An Approach to Multiply Segmented Constraint Satisfaction ProblemsRandall A. Helzerman, Mary P. Harper. 350-355
• Reasoning about Temporal Relations: A Maximal Tractable Subclass of Allen s Interval AlgebraBernhard Nebel, Hans-Jürgen Bürckert. 356-361
• A Filtering Algorithm for Constraints of Difference in CSPsJean-Charles Régin. 362-367
• On the Inherent Level of Local Consistency in Constraint NetworksPeter van Beek. 368-373
• Divide and Conquer in Multi-Agent PlanningEithan Ephrati, Jeffrey S. Rosenschein. 375-380
• Progressive Negotiation for Resolving Conflicts among Distributed Heterogeneous Cooperating AgentsTaha Khedro, Michael R. Genesereth. 381-386
• A Collaborative Parametric Design AgentDaniel Kuokka, Brian Livezey. 387-393
• Exploiting Meta-Level information in a Distributed Scheduling SystemDaniel E. Neiman, David W. Hildum, Victor R. Lesser, Tuomas Sandholm. 394-400
• A Computational Market Model for Distributed Configuration DesignMichael P. Wellman. 401-407
• Emergent Coordination through the Use of Cooperative State-Changing RulesClaudia V. Goldman, Jeffrey S. Rosenschein. 408-413
• Forming Coalitions in the Face of Uncertain RewardsSteven P. Ketchpel. 414-419
• Learning to Coordinate without Sharing InformationSandip Sen, Mahendra Sekaran, John Hale. 426-431
• Coalition, Cryptography, and Stability: Mechanisms for Coalition Formation in Task Oriented DomainsGilad Zlotkin, Jeffrey S. Rosenschein. 432-437
• An Experiment in the Design of Software AgentsHenry A. Kautz, Bart Selman, Michael H. Coen, Steven P. Ketchpel, Chris Ramming. 438-443
• Collaborative Interface AgentsYezdi Lashkari, Max Metral, Pattie Maes. 444-449
• Combining Left and Right Unlinking for Matching a Large Number of Learned RulesRobert B. Doorenbos. 451-458
• Discovering Procedural Executions of Rule-Based ProgramsDavid Gadbois, Daniel P. Miranker. 459-464
• Mechanisms for Efficiency in Blackboard SystemsMicheal Hewett, Rattikorn Hewett. 465-470
• Model-Based Automated Generation of User InterfacesAngel R. Puerta, Henrik Eriksson, John H. Gennari, Mark A. Musen. 471-477
• The Relationship between Architectures and Example-Retrieval TimesEiichiro Sumita, Naoya Nisiyama, Hitoshi Iida. 478-483
• An Instructional Environment for Practicing Argumentation SkillsVincent Aleven, Kevin D. Ashley. 485-492
• Tailoring Retrieval to Support Case-Based TeachingRobin D. Burke, Alex Kass. 493-498
• Situated Plan Attribution for Intelligent TutoringRandall W. Hill Jr., W. Lewis Johnson. 499-505
• Learning from Highly Flexible Tutorial InstructionScott B. Huffman, John E. Laird. 506-512
• Case-Based Retrieval Interface Adapted to Customer-Initiated Dialogues in Help Desk OperationsHideo Shimazu, Akihiro Shibata, Katsumi Nihei. 513-518
• Knowledge Refinement in a Reflective ArchitectureYolanda Gil. 520-526
• A User Interface for Knowledge Acquisition From VideoHenry Lieberman. 527-534
• Building Non-Brittle Knowledge-Acquisition ToolsJay T. Runkel, William P. Birmingham. 535-540
• The Acquisition, Analysis and Evaluation of Imprecise Requirements for Knowledge-Based SystemsJohn Yen, Xiaoqing Liu, Swee Hor Teh. 541-546
• Extracting Viewpoints from Knowledge BasesLiane Acker, Bruce W. Porter. 547-552
• Using Induction to Refine Information Retrieval StrategiesCatherine Baudin, Barney Pell, Smadar Kedar. 553-559
• Formalizing Ontological CommitmentNicola Guarino, Massimiliano Carrara, Pierdaniele Giaretta. 560-567
• Exploiting the Ordering of Observed Problem-Solving Steps for Knowledge Base Refinement: An Apprenticeship ApproachSteven K. Donoho, David C. Wilkins. 569-575
• Improving Learning Performance Through Rational Resource AllocationJonathan Gratch, Steve A. Chien, Gerald DeJong. 576-581
• Learning Explanation-Based Search Control Rules for Partial Order PlanningSuresh Katukam, Subbarao Kambhampati. 582-587
• Creating Abstractions Using Relevance ReasoningAlon Y. Levy. 588-594
• Flexible Strategy Learning: Analogical Replay of Problem Solving EpisodesManuela M. Veloso. 595-600
• Branching on Attribute Values in Decision Tree GenerationUsama M. Fayyad. 601-606
• Induction of Multivariate Regression Trees for Design OptimizationB. Forouraghi, L. W. Schmerr, G. M. Prabhu. 607-612
• Bottom-Up Induction of Oblivious Read-Once Decision Graphs: Strengths and LimitationsRon Kohavi. 613-618
• Learning Decision Lists Using Homogeneous RulesRichard Segal, Oren Etzioni. 619-625
• Decision Tree Pruning: Biased or Optimal?Sholom M. Weiss, Nitin Indurkhya. 626-632
• An Implemented Model of Punning RiddlesKim Binsted, Graeme Ritchie. 633-638
• Bootstrapping Training-Data Representations for Inductive Learning: A Case Study in Molecular BiologyHaym Hirsh, Nathalie Japkowicz. 639-644
• A Discovery System for Trigonometric FunctionsTsuyoshi Murata, Masami Mizutani, Masamichi Shimura. 645-650
• Compositional Instance-Based LearningPatrick S. Broos, Karl Branting. 651-656
• Learning to Recognize Promoter Sequences in E. coli by Modeling Uncertainty in the Training DataSteven W. Norton. 657-663
• Inductive Learning For Abductive DiagnosisCynthia A. Thompson, Raymond J. Mooney. 664-669
• Learning Fault-Tolerant Speech Parsing with SCREENStefan Wermter, Volker Weber. 670-675
• Pac-Learning Nondeterminate ClausesWilliam W. Cohen. 676-681
• Learning to ReasonRoni Khardon, Dan Roth. 682-687
• Incorporating Advice into Agents that Learn from ReinforcementsRichard Maclin, Jude W. Shavlik. 694-699
• Reinforcement Learning Algorithms for Average-Payoff Markovian Decision ProcessesSatinder P. Singh. 700-705
• Using Knowledge Acquisition and Representation Tools to Support Scientific CommunitiesBrian R. Gaines, Mildred L. G. Shaw. 707-714
• Talking About AI: Socially Defined Linguistic Subcontexts in AIAmy M. Steier, Richard K. Belew. 715-720
• Some Advances in Transformation-Based Part of Speech TaggingEric Brill. 722-727
• Context-Sensitive Statistics For Improved Grammatical Language ModelsEugene Charniak, Glenn Carroll. 728-733
• Toward the Essential Nature of Statistical Knowledge in Sense ResolutionJill Fain Lehman. 734-741
• Inducing Deterministic Prolog Parsers from Treebanks: A Machine Learning ApproachJohn M. Zelle, Raymond J. Mooney. 748-753
• The Ups and Downs of Lexical AcquisitionPeter M. Hastings, Steven L. Lytinen. 754-759
• Lexical Acquisition in the Presence of Noise and HomonymyJeffrey Mark Siskind. 760-766
• Kalos - A System for Natural Language Generation with RevisionBen E. Cline, Jane Terry Nutter. 767-772
• Building a Large-Scale Knowledge Base for Machine TranslationKevin Knight, Steve K. Luk. 773-778
• Automated Postediting of DocumentsKevin Knight, Ishwar Chander. 779-784
• A Prototype Reading Coach that ListensJack Mostow, Steven F. Roth, Alexander G. Hauptmann, Matthew Kane. 785-792
• Visual Semantics: Extracting Visual information from Text Accompanying PicturesRohini K. Srihari, Debra T. Burhans. 793-798
• A Plan-Based Model for Response Generation in Collaborative Task-Oriented DialoguesJennifer Chu-Carroll, Sandra Carberry. 799-805
• An Artificial Discourse Language for Collaborative NegotiationCandace L. Sidner. 814-819
• Emergent Linguistic Rules from inducing Decision Trees: Disambiguating Discourse Clue WordsEric V. Siegel, Kathleen McKeown. 820-826
• Corpus-Driven Knowledge Acquisition for Discourse AnalysisStephen Soderland, Wendy G. Lehnert. 827-832
• Principled Multilingual Grammars for Large CorporaSharon Flank, Paul Krause, Carol Van Ess-Dykema. 833-838
• L* Parsing: A General Framework for Syntactic Analysis of Natural LanguageEric K. Jones, Linton M. Miller. 839-844
• Unclear Distinctions Lead to Unnecessary Shortcomings: Examining the Rule versus Fact, Role versus Filler, and Type versus Predicate Distinctions from a Connectionist Representation and Reasoning PerspectiveVenkat Ajjanagadde. 846-851
• Associative Memory in an Immune-Based SystemC. J. Gibert, Tom Routen. 852-857
• Spurious Symptom Reduction in Fault Monitoring Using a Neural Network and Knowledge Base Hybrid SystemRoger M. Records, Jai J. Choi. 865-870
• Learning to Learn: Automatic Adaptation of Learning BiasSteve G. Romaniuk. 871-876
• Neural Programming LanguageHava T. Siegelmann. 877-882
• Multi-Recurrent Networks for Traffic ForecastingClaudia Ulbricht. 883-888
• Knowledge Matrix - An Explanation & Knowledge Refinement Facility for a Rule Induced Neural NetworkDaniel S. Yeung, Hank-Shun Fong. 889-894
• Epsilon-Transformation: Exploiting Phase Transitions to Solve Combinatorial Optimization Problems Initial ResultsWeixiong Zhang, Joseph C. Pemberton. 895-900
• A Preference-Based Approach to Default Reasoning: Preliminary ReportJames P. Delgrande. 902-908
• On the Relation between the Coherence and Foundations Theories of Belief RevisionAlvaro del Val. 909-914
• Conditional Logics of Belief ChangeNir Friedman, Joseph Y. Halpern. 915-921
• Incremental Recompilation of KnowledgeGoran Gogic, Christos H. Papadimitriou, Martha Sideri. 922-927
• Qualitative Decision TheorySek-Wah Tan, Judea Pearl. 928-933
• Soundness and Completeness of a Logic Programming Approach to Default LogicGrigoris Antoniou, Elmar Langetepe. 934-939
• Reasoning about Priorities in Default LogicGerhard Brewka. 940-945
• Is Intractability of Non-Monotonic Reasoning a Real Drawback?Marco Cadoli, Francesco M. Donini, Marco Schaerf. 946-951
• A Knowledge Representation Framework Based on Autoepistemic Logic of Minimal BeliefsTeodor C. Przymusinski. 952-958
• A New Approach to Tracking 3D Objects in 2D Image SequencesMichael Chan, Dimitris N. Metaxas, Sven J. Dickinson. 960-965
• Automatic Symbolic Traffic Scene Analysis Using Belief NetworksTimothy Huang, Daphne Koller, Jitendra Malik, Gary H. Ogasawara, B. Rao, Stuart J. Russell, Joseph Weber. 966-972
• Sensible Decisions: Toward a Theory of Decision-Theoretic Information InvariantsKeiji Kanazawa. 973-978
• Topological Mapping for Mobile Robots Using a Combination of Sonar and Vision SensingDavid Kortenkamp, Terry E. Weymouth. 979-984
• Applying VC-Dimension Analysis To 3D Object Recognition from Perspective ProjectionsMichael Lindenbaum, Shai Ben-David. 985-990
• Derivation Replay for Partial-Order PlanningLaurie H. Ihrig, Subbarao Kambhampati. 992-997
• Tractable Planning with State Variables by Exploiting Structural RestrictionsPeter Jonsson, Christer Bäckström. 998-1003
• Least-Cost Flaw Repair: A Plan Refinement Strategy for Partial-Order PlanningDavid Joslin, Martha E. Pollack. 1004-1009
• Temporal Planning with Continuous ChangeJ. Scott Penberthy, Daniel S. Weld. 1010-1015
• Using Abstractions for Decision-Theoretic Planning with Time ConstraintsCraig Boutilier, Richard Dearden. 1016-1022
• Acting Optimally in Partially Observable Stochastic DomainsAnthony R. Cassandra, Leslie Pack Kaelbling, Michael L. Littman. 1023-1028
• Using Abstraction and Nondeterminism to Plan Reaction LoopsDavid J. Musliner. 1036-1041
• The First Law of Robotics (A Call to Arms)Daniel S. Weld, Oren Etzioni. 1042-1047
• Omnipotence Without Omniscience: Efficient Sensor Management for PlanningKeith Golden, Oren Etzioni, Daniel S. Weld. 1048-1054
• On the Nature of Modal Truth Criteria in PlanningSubbarao Kambhampati, Dana S. Nau. 1055-1060
• Causal Pathways of Rational ActionCharles L. Ortiz Jr.. 1061-1066
• An Algorithm for Probabilistic Least-Commitment PlanningNicholas Kushmerick, Steve Hanks, Daniel S. Weld. 1073-1078
• Control Strategies for a Stochastic PlannerJonathan Tash, Stuart J. Russell. 1079-1085
• Generating Feasible Schedules under Complex Metric ConstraintsCheng-Chung Cheng, Stephen F. Smith. 1086-1091
• Experimental Results on the Application of Satisfiability Algorithms to Scheduling ProblemsJames M. Crawford, Andrew B. Baker. 1092-1097
• On the Utility of Bottleneck Reasoning for SchedulingNicola Muscettola. 1105-1110
• A Constraint-Based Approach to High-School Timetabling Problems: A Case StudyMasazumi Yoshikawa, Kazuya Kaneko, Yuriko Nomura, Masanobu Watanabe. 1111-1116
• Task-Decomposition via Plan ParsingAnthony Barrett, Daniel S. Weld. 1117-1122
• HTN Planning: Complexity and ExpressivityKutluhan Erol, James A. Hendler, Dana S. Nau. 1123-1128
• The Use of Condition Types to Restrict Search in an AI PlannerAustin Tate, Brian Drabble, Jeff Dalton. 1129-1134
• An Operational Semantics for Knowledge BasesRonald Fagin, Joseph Y. Halpern, Yoram Moses, Moshe Y. Vardi. 1142-1147
• Reasoning with ModelsRoni Khardon, Dan Roth. 1148-1153
• Representing Multiple TheoriesP. Pandurang Nayak. 1154-1160
• How Things Appear to Work: Predicting Behaviors from Device DiagramsN. Hari Narayanan, Masaki Suwa, Hiroshi Motoda. 1161-1167
• A Qualitative Physics CompilerAdam Farquhar. 1168-1174
• Using Qualitative Physics to Build Articulate Software for Thermodynamics EducationKenneth D. Forbus, Peter B. Whalley. 1175-1182
• Automated Model Selection for SimulationYumi Iwasaki, Alon Y. Levy. 1183-1190
• Automated Modeling for Answering Prediction Questions: Selecting the Time Scale and System BoundaryJeff Rickel, Bruce W. Porter. 1191-1198
• Decompositional Modeling through Caricatural ReasoningBrian C. Williams, Olivier Raiman. 1199-1204
• Comparative SimulationMichael Neitzke, Bernd Neumann. 1205-1210
• Qualitative Reasoning for Automated Exploration for ChaosToyoaki Nishida. 1211-1216
• Activity Analysis: The Qualitative Analysis of Stationary Points for Optimal ReasoningBrian C. Williams, Jonathan Cagan. 1217-1223
• Intelligent Automated Grid Generation for Numerical SimulationsKe-Thia Yao, Andrew Gelsey. 1224-1230
• Structured Circuit Semantics for Reactive Plan Execution SystemsJaeho Lee, Edmund H. Durfee. 1232-1237
• Estimating Reaction Plan SizeMarcel Schoppers. 1238-1244
• Results on Controlling Action with Projective VisualizationMarc Goodman. 1245-1250
• Learning to Select Useful LandmarksRussell Greiner, Ramana Isukapalli. 1251-1256
• Agents that Learn to Explain ThemselvesW. Lewis Johnson. 1257-1263
• High Dimension Action Spaces in Robot Skill LearningJeff G. Schneider. 1272-1278
• Robot Behavior Conflicts: Can Intelligence Be Modularized?Amol Dattatraya Mali, Amitabha Mukerjee. 1279-1284
• Teleassistance: Contextual Guidance for Autonomous ManipulationPolly K. Pook, Dana H. Ballard. 1291-1296
• Exploiting Problem Structure in Genetic AlgorithmsScott H. Clearwater, Tad Hogg. 1310-1315
• Increasing The Efficiency of Simulated Annealing Search by Learning to Recognize (Un)Promising RunsYoichiro Nakakuki, Norman M. Sadeh. 1316-1322
• Improving Search through DiversityPeter Shell, Juan Antonio Hernandez Rubio, Gonzalo Quiroga Barro. 1323-1328
• Genetic Programming and AI Planning SystemsLee Spector. 1329-1334
• Hierarchical Chunking in Classifier SystemsGerhard Weiß. 1335-1340
• Exploiting Algebraic Structure in Parallel State Space SearchJonathan Bright, Simon Kasif, Lewis Stiller. 1341-1346
• The Trailblazer Search: A New Method for Searching and Capturing Moving TargetsFumihiko Chimura, Mario Tokoro. 1347-1352
• ITS: An Efficient Limited-Memory Heuristic Tree Search AlgorithmSubrata Ghosh, Ambuj Mahanti, Dana S. Nau. 1353-1358
• Memory-Bounded Bidirectional SearchHermann Kaindl, Aliasghar Khorsand. 1359-1364
• Best-First Minimax Search: Othello ResultsRichard E. Korf, David Maxwell Chickering. 1365-1370
• Evolving Neural Networks to Focus Minimax SearchDavid E. Moriarty, Risto Miikkulainen. 1371-1377
• A Strategic Metagame Player for General Chesslike GamesBarney Pell. 1378-1385
• An Analysis of Forward PruningStephen J. J. Smith, Dana S. Nau. 1386-1391
• Basic Meanings of Spatial Relations: Computation and Evaluation in 3D SpaceKlaus-Peter Gapp. 1393-1398
• Spatial Reasoning in Indeterminate WorldsJanice I. Glasgow. 1399-1404
• Automatic Depiction of Spatial DescriptionsPatrick Olivier, Toshiyuki Maeda, Jun-ichi Tsujii. 1405-1410
• A Model for Integrated Qualitative Spatial and Dynamic Reasoning about Physical SystemsRaman Rajagopalan. 1411-1417
• A Theory for Qualitative Spatial Reasoning Based on Order RelationsRalf Röhrig. 1418-1423
• Classification of Noun Phrases into Concepts or IndividualsSaliha Azzam. 1425
• Regression Based Causal Induction with Latent Variable ModelsLisa Ballesteros. 1426
• Probabilistic Knowledge of External Events in PlanningJim Blythe. 1427
• DANIEL: Integrating Case-Based and Rule-Based Reasoning in LawStefanie Brüninghaus. 1428
• Abstract of the Forest Management Advisory SystemsYousong Chang, Donald Nute. 1432
• SodaBot: A Software Agent Environment and Construction SystemMichael H. Coen. 1433
• Case-Based IntrospectionMichael T. Cox. 1435
• Time Units and CalendarsDiana Cukierman, James P. Delgrande. 1436
• Local Search in the Coordination of Intelligent AgentsDaniel E. Damouth, Edmund H. Durfee. 1437
• GKR: A Generic Model of Knowledge RepresentationAngélica de Antonio, Jesús Cardeñosa, Loïc Martínez Normand. 1438
• Experiments Towards Robotic Learning by ImitationJohn Demiris. 1439
• Dynamically Adjusting Categories to Accommodate Changing ContextsMark Devaney, Ashwin Ram. 1441
• Substructure Discovery Using Minimum Description Length Principle and Background KnowledgeSurnjani Djoko. 1442
• Exploiting the Ordering of Observed Problem-Solving Steps for Knowledge Base Refinement: An Apprenticeship ApproachSteven K. Donoho, David C. Wilkins. 1443
• The KM / KnEd System: An Integrated Approach to Building Large-Scale Multifunctional Knowledge BasesErik Eilerts. 1444
• Introspective Reasoning in a Case-Based PlannerSusan Fox, David B. Leake. 1446-1446
• A Statistical Method for Handling Unknown WordsAlexander Franz. 1447
• Learning About Software Errors Via Systematic ExperimentationTerrance Goan, Oren Etzioni. 1449
• The Crystallographer s AssistantVanathi Gopalakrishnan, Daniel N. Hennessy, Bruce G. Buchanan, Devika Subramanian. 1451
• Time-Critical Scheduling in Stochastic DomainsLloyd Greenwald, Thomas Dean. 1452
• Planning for Component-Based ConfigurationsGail Haddock. 1453
• The Epistemology of Physical System ModelingKyungsook Han, Andrew Gelsey. 1454
• Testing a KBS Using a Conceptual ModelCorinne Haouche. 1455
• A Dynamic Organization in Distributed Constraint SatisfactionKatsutoshi Hirayama, Seiji Yamada, Jun ichi Toyoda. 1456
• Tractable Anytime Temporal Constraint PropagationLouis J. Hoebel. 1457
• Processing Pragmatics for Computer-Assisted Language InstructionKeiko Horiguchi. 1458
• The Automated Mapping of Plans for Plan RecognitionMarcus J. Huber, Edmund H. Durfee, Michael P. Wellman. 1460
• Dempster-Shafer and Bayesian Network for CAD-Based Feature Extraction: A Comparative Investigation and AnalysisQiang Ji, Michael M. Marefat, Paul J. A. Lever. 1462
• Finding Multivariate Splits in Decision Trees Using Function OptimizationGeorge H. John. 1463
• When the Best Move Isn t Optimal: Q-learning with ExplorationGeorge H. John. 1464
• HIPAIR: Interactive Mechanism Analysis and Design Using Configuration SpacesLeo Joskowicz, Elisha Sacks. 1465
• Learning Sorting Networks By GrammarsThomas E. Kammeyer, Richard K. Belew. 1466
• The Formation of Coalitions Among Self-Interested AgentsSteven P. Ketchpel. 1467
• Learning From Ambiguous ExamplesStephen V. Kowalski. 1468
• Quantitative Evaluation of the Exploration Strategies of a Mobile RobotDavid Lee, Michael Recce. 1470
• Everyday Reasoning Meets Geometry Theorem-ProvingThomas F. McDougal. 1471
• Determination of Machine Condition Using Neural NetworksJohn MacIntyre, Peter Smith, John Tait. 1472
• Building a Parser That can Afford to Interact with SemanticsKavi Mahesh. 1473
• Using Errors to Create Piecewise Learnable PartitionsOded Maron. 1474
• Theoreticai and Experimental Studies of Temporal Constraint Satisfaction ProblemDebasis Mitra. 1477
• Time-Situated Reasoning within Tight Deadlines and Realistic Space and Computation BoundsMadhura Nirkhe. 1480
• Integrating Induction & Instruction: Connectionist Advice TakingDavid C. Noelle, Garrison W. Cottrell. 1481
• A Comparison of Reinforcement Learning Methods for Automatic Guided Vehicle SchedulingDoKyeong Ok. 1482
• Making the Most of What You ve Got: Using Models and Data to Improve Learning Rate and Prediction AccuracyJulio Ortega. 1483
• Learning Quality-Enhancing Control KnowledgeM. Alicia Pérez. 1484
• Database Learning for Software AgentsMike Perkowitz, Oren Etzioni. 1485
• Diagnosing Multiple Interacting Defects with Combination DescriptionsNancy E. Reed. 1486
• Building Emotional Characters for Interactive DramaW. Scott Neal Reilly. 1487
• On the Computation of Point of ViewWarren Sack. 1488
• Multi-Agent Learning in Non-Cooperative DomainsMahendra Sekaran, Sandip Sen. 1489
• Coalition Formation Methods in Multi-Agent EnvironmentsOnn Shehory. 1490
• Integrating Specialized Procedures in Proof SystemsVishal Sikka. 1491
• Towards Situated ExplanationRaja Sooriamurthi, David B. Leake. 1492
• Agent Modeling Methods Using Limited RationalityJosé M. Vidal, Edmund H. Durfee. 1495
• Learning by Observation and Practice: A Framework for Automatic Acquisition of Planning OperatorsXuemei Wang. 1496
• A Modular Visual Tracking SystemMike Wessler. 1497
• Utility-Directed PlanningMike Williamson, Steve Hanks. 1498
• Fuzzy Irrigation Decision Support SystemHong Xiang, Brahm P. Verma, Gerrit Hoogenboom. 1499
• Guardian: A Prototype Intelligent Agent for Intensive-Care MonitoringBarbara Hayes-Roth, N. Serdar Uckun, Jan Eric Larsson, David Gaba, Juliana Barr, Jane Chien. 1503
• HIPAIR: Interactive Mechanism Analysis and Design Using Configuration SpacesLeo Joskowicz, Elisha Sacks. 1505
• ALIVE: Artificial Life Interactive Video EnvironmentPattie Maes, Trevor Darrell, Bruce Blumberg, Alex Pentland. 1506
• A Reading Coach that Listens: (Edited) Video TranscriptJack Mostow, Alexander G. Hauptmann, Steven F. Roth, Matthew Kane, Adam Swift, Lin Lawrence Chase, Bob Weide. 1507
• Machine RhythmDavid Rosenthal. 1508