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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 17 /

Book One

Agents

  • Maintainability: A Weaker Stabilizability Like Notion for High Level Control

    Mutsumi Nakamura, University of Texas at Arlington; Chitta Baral, Arizona State University; Marcus Bjäreland, Linköping University

    62

    PDF
  • Agent Capabilities: Extending BDI Theory

    Lin Padgham, RMIT University; Patrick Lambrix, Linköpings Universitet

    68

    PDF
  • Iterative Combinatorial Auctions: Theory and Practice

    David C. Parkes and Lyle H. Ungar, University of Pennsylvania

    74

    PDF
  • Preventing Strategic Manipulation in Iterative Auctions: Proxy Agents and Price-Adjustment

    David C. Parkes and Lyle H. Ungar, University of Pennsylvania

    82

    PDF
  • Improved Algorithms for Optimal Winner Determination in Combinatorial Auctions and Generalizations

    Tuomas Sandholm and Subhash Suri, Washington University

    90

    PDF
  • Some Tractable Combinatorial Auctions

    Moshe Tennenholtz, Technion, Israel Institute of Technology

    98

    PDF
  • Collective Intelligence and Braess’ Paradox

    Kagan Tumer and David Wolpert, NASA Ames Research Center

    104

    PDF
  • Robust Combinatorial Auction Protocol against False-Name Bids

    Makoto Yokoo, Yuko Sakurai, and Shigeo Matsubara, NTT Communication Science Laboratories

    110

    PDF
  • Inter-Layer Learning Towards Emergent Cooperative Behavior

    #VALUE!

    3

    PDF
  • Coordination Failure and Congestion in Information Networks

    A. M. Bell, NASA Ames Research Center; W. A. Sethares and J. A. Bucklew, University of Wisconsin-Madison

    9

    PDF
  • Non-Deterministic Social Laws

    Michael H. Coen, MIT Artificial Intelligence Lab

    15

    PDF
  • Solving Combinatorial Auctions Using Stochastic Local Search

    Holger H. Hoos, University of British Columbia; Craig Boutilier, University of Toronto

    22

    PDF
  • A Mechanism for Group Decision Making in Collaborative Activity

    Luke Hunsberger, Harvard University; Massimo Zancanaro, ITC-irst

    30

    PDF
  • Cobot in LambdaMOO: A Social Statistics Agent

    Charles Lee Isbell, Jr., Michael Kearns, Dave Kormann, Satinder Singh, and Peter Stone, AT&T Shannon Labs

    36

    PDF
  • Semantics of Agent Communication Languages for Group Interaction

    Sanjeev Kumar, Marcus J. Huber, David R. McGee, and Philip R. Cohen, Oregon Graduate Institute; Hector J. Levesque, University of Toronto

    42

    PDF
  • Deliberation in Equilibrium: Bargaining in Computationally Complex Problems

    Kate Larson and Tuomas Sandholm, Washington University

    48

    PDF
  • An Algorithm for Multi-Unit Combinatorial Auctions

    Kevin Leyton-Brown, Yoav Shoham, and Moshe Tennenholtz, Stanford University

    56

    PDF

Cognitive Modeling

  • Self-Organization of Innate Face Preferences: Could Genetics Be Expressed through Learning?

    James A. Bednar and Risto Miikkulainen, The University of Texas at Austin

    117

    PDF
  • A Self-Organizing Neural Network for Contour Integration through Synchronized Firing

    Yoonsuck Choe and Risto Miikkulainen, The University of Texas at Austin

    123

    PDF
  • Anchoring Symbols to Sensor Data: Preliminary Report

    Silvia Coradeschi and Alessandro Saffiotti, Örebro University

    129

    PDF
  • Modeling Classification and Inference Learning

    Bradley C. Love and Arthur B. Markman, The University of Texas at Austin; Takashi Yamauchi, University of Pittsburgh

    136

    PDF
  • Reading a Robot’s Mind: A Model of Utterance Understanding Based on the Theory of Mind Mechanism

    Tetsuo Ono and Michita Imai, ATR Media Integration and Communications Research Laboratories

    142

    PDF
  • Visual Event Classification via Force Dynamics

    Jeffrey Mark Siskind, NEC Research Institute, Inc.

    149

    PDF

Constraint Satisfaction

  • Counting Models Using Connected Components

    Roberto J. Bayardo Jr., IBM Almaden Research Center; J. D. Pehoushek, M.U.S.T. Centre

    157

    PDF
  • DATALOG with Constraints — An Answer-Set Programming System

    Deborah East and Miroslaw Truszczynski, University of Kentucky

    163

    PDF
  • Local Search with Constraint Propagation and Conflict-Based Heuristics

    Narendra Jussien, École des Mines de Nantes; Olivier Lhomme, ILOG

    169

    PDF
  • A Game-Theoretic Approach to Constraint Satisfaction

    Phokion G. Kolaitis, University of California, Santa Cruz; Moshe Y. Vardi, Rice University

    175

    PDF
  • Using Auxiliary Variables and Implied Constraints to Model Non-Binary Problems

    Barbara Smith, University of Leeds; Kostas Stergiou, University of Strathclyde; Toby Walsh, University of York

    182

    PDF

Game Playing

  • Combining Knowledge and Search to Solve Single-Suit Bridge

    Ian Frank, Electrotechnical Laboratory; David Basin, Universität Freiburg; Alan Bundy, University of Edinburgh

    195

    PDF
  • On Pruning Techniques for Multi-Player Games

    Nathan R. Sturtevant and Richard E. Korf. University of California, Los Angeles

    201

    PDF
  • The Game of Hex: An Automatic Theorem Proving Approach to Game Programming

    Vadim V. Anshelevich, Vanshel Consulting

    189

    PDF

Human-Computer Interaction

  • Human-Guided Simple Search

    David Anderson, Emily Anderson, Neal Lesh, Joe Marks, Brian Mirtich, and David Ratajczak, MERL -- Mitsubishi Electric Research Laboratory; Kathy Ryall, MERL -- Mitsubishi Electric Research Laboratory and University of Virginia

    209

    PDF
  • Predicting Future User Actions by Observing Unmodified Applications

    Peter Gorniak and David Poole, University of British Columbia

    217

    PDF
  • Acquiring Problem-Solving Knowledge from End Users: Putting Interdependency Models to the Test

    Jihie Kim and Yolanda Gil, University of Southern California

    223

    PDF
  • Predicting UNIX Command Lines: Adjusting to User Patterns

    Benjamin Korvemaker and Russell Greiner, University of Alberta

    230

    PDF
  • Generation of Ideologically-Biased Historical Documentaries

    Michael Mateas, Carnegie Mellon University; Paul Vanouse, University of Buffalo; Steffi Domike, Chatham College

    236

    PDF
  • Self-Supervised Learning for Visual Tracking and Recognition of Human Hand

    Ying Wu and Thomas S. Huang, University of Illinois at Urbana-Champaign

    243

    PDF
  • Interactive Training for Synthetic Characters

    Song-Yee Yoon, Robert C. Burke, Bruce M. Blumberg, and Gerald E. Schneider, Massachusetts Institute of Technology

    249

    PDF

Machine Learning and Data Mining

  • Localizing Search in Reinforcement Learning

    Greg Grudic and Lyle Ungar, University of Pennsylvania

    590

    PDF
  • Recognizing End-User Transactions in Performance Management

    Joseph L. Hellerstein, T. S. Jayram, and Irina Rish, IBM Thomas J. Watson Research Center

    596

    PDF
  • ATMOSPHERE — Automatic Track Mining and Objective Satellite Pattern Hunting System Using Enhanced RBF and EGDLM

    Raymond S. T. Lee and James N. K. Liu, Hong Kong Polytechnic University

    603

    PDF
  • Learning the Common Structure of Data

    Kristina Lerman and Steven Minton, University of Southern California

    609

    PDF
  • Intuitive Representation of Decision Trees Using General Rules and Exceptions

    Bing Liu, Minqing Hu, and Wynne Hsu, National University of Singapore

    615

    PDF
  • Selective Sampling with Redundant Views

    Ion Muslea, Steven Minton, and Craig A. Knoblock, University of Southern California

    621

    PDF
  • A Mutually Beneficial Integration of Data Mining and Information Extraction

    Un Yong Nahm and Raymond J. Mooney, University of Texas at Austin

    627

    PDF
  • Multivariate Clustering by Dynamics

    Marco Ramoni, The Open University; Paola Sebastiani, Imperial College; Paul Cohen, University of Massachusetts

    633

    PDF
  • Toward a Theory of Learning Coherent Concepts

    Dan Roth and Dmitry Zelenko, University of Illinois at Urbana-Champaign

    639

    PDF
  • Empirical Evaluation of a Reinforcement Learning Spoken Dialogue System

    Satinder Singh, Michael Kearns, Diane J. Litman, and Marilyn A. Walker, AT&T Labs

    645

    PDF
  • Unsupervised Learning and Interactive Jazz/Blues Improvisation

    Belinda Thom, Carnegie Mellon University

    652

    PDF
  • Restricted Bayes Optimal Classifiers

    Simon Tong and Daphne Koller, Stanford University

    658

    PDF
  • A Quantitative Study of Small Disjuncts

    Gary M. Weiss and Haym Hirsh, Rutgers University

    665

    PDF
  • ADVISOR: A Machine Learning Architecture for Intelligent Tutor Construction

    Joseph E. Beck, Beverly Park Woolf, and Carole R. Beal, University of Massachusetts

    552

    PDF
  • Automatic Invention of Integer Sequences

    Simon Colton and Alan Bundy, University of Edinburgh; Toby Walsh, University of York

    558

    PDF
  • A Unified Bias-Variance Decomposition for Zero-One and Squared Loss

    Pedro Domingos, University of Washington

    564

    PDF
  • Generalizing Boundary Points

    Tapio Elomaa, University of Helsinki; Juho Rousu, VTT Biotechnology

    570

    PDF
  • Boosted Wrapper Induction

    Dayne Freitag, Just Research; Nicholas Kushmerick, University College Dublin

    577

    PDF
  • Information Extraction with HMM Structures Learned by Stochastic Optimization

    Dayne Freitag and Andrew McCallum, Just Research

    584

    PDF

Natural Language Processing and Information Retrieval

  • The Automatic Interpretation of Nominalizations

    Maria Lapata, University of Edinburgh

    716

    PDF
  • Predicting and Adapting to Poor Speech Recognition in a Spoken Dialogue System

    Diane J. Litman, AT&T Labs -- Research; Shimei Pan, Columbia University

    722

    PDF
  • Social Choice Theory and Recommender Systems: Analysis of the Axiomatic Foundations of Collaborative Filtering

    David M. Pennock, NEC Research Institute; Eric Horvitz, Microsoft Research; C. Lee Giles, NEC Research Institute

    729

    PDF
  • Learning Subjective Adjectives from Corpora

    Janyce M. Wiebe, New Mexico State University

    735

    PDF
  • Translating with Scarce Resources

    Yaser Al-Onaizan, Ulrich Germann, Ulf Hermjakob, Kevin Knight, Philipp Koehn, Daniel Marcu, and Kenji Yamada, University of Southern California

    672

    PDF
  • The Rules Behind Roles: Identifying Speaker Role in Radio Broadcasts

    Regina Barzilay, Columbia University; Michael Collins, Julia Hirschberg, and Steve Wittaker, AT&T Labs -- Research

    679

    PDF
  • Cognitive Status and Form of Reference in Multimodal Human-Computer Interaction

    Andrew Kehler, University of California, San Diego

    685

    PDF
  • Class-Based Construction of a Verb Lexicon

    Karin Kipper, Hoa Trang Dang, and Martha Palmer, University of Pennsylvania

    691

    PDF
  • Preserving Ambiguities in Generation via Automata Intersection

    Kevin Knight and Irene Langkilde, University of Southern California

    697

    PDF
  • Statistics-Based Summarization — Step One: Sentence Compression

    Kevin Knight and Daniel Marcu, University of Southern California

    703

    PDF
  • Estimating Word Translation Probabilities from Unrelated Monolingual Corpora Using the EM Algorithm

    Philipp Koehn and Kevin Knight, University of Southern California

    711

    PDF

Planning and Scheduling

  • Iterative Flattening: A Scalable Method for Solving Multi-Capacity Scheduling Problems

    Amedeo Cesta and Angelo Oddi, IP-CNR, National Research Council of Italy; Stephen F. Smith, Carnegie Mellon University

    742

    PDF
  • Planning as Satisfiability in Nondeterministic Domains

    Paolo Ferraris and Enrico Giunchiglia, DIST -- Universit&eagrave; di Genova

    748

    PDF
  • Open World Planning in the Situation Calculus

    Alberto Finzi and Fiora Pirri, Universit&eagrave; degli Studi di Roma "La Sapienza"; Ray Reiter, University of Toronto

    754

    PDF
  • Discovering State Constraints in DISCOPLAN: Some New Results

    Alfonso Gerevini, Universit&eagrave; di Brescia; Lenhart Schubert, University of Rochester

    761

    PDF
  • A Logic for Planning under Partial Observability

    A. Herzig, J. Lang, D. Longin, and T. Polacsek, IRIT-UPS

    768

    PDF
  • Graph Construction and Analysis as a Paradigm for Plan Recognition

    Jun Hong, University of Ulster at Jordanstown

    774

    PDF
  • Solving a Supply Chain Optimization Problem Collaboratively

    Hoong Chuin Lau, Andrew Lim, and Qi Zhang Liu, National University of Singapore

    780

    PDF
  • From Causal Theories to Successor State Axioms and STRIPS-Like Systems

    Fangzhen Lin, The Hong Kong University of Science and Technology

    786

    PDF
  • TCBB Scheme: Applications to Single Machine Job Sequencing Problems

    Sakib A. Mondal, Infosys Technologies Limited, India; Anup K. Sen, New Jersey Institute of Technology

    792

    PDF
  • Extracting Effective and Admissible State Space Heuristics from the Planning Graph

    XuanLong Nguyen and Subbarao Kambhampati, Arizona State University

    798

    PDF
  • An Iterative Algorithm for Synthesizing Invariants

    Jussi Rintanen, Albert-Ludwigs-Universität Freiburg

    806

    PDF
  • RealPlan: Decoupling Causal and Resource Reasoning in Planning

    Biplav Srivastava, Arizona State University

    812

    PDF
  • Gridworlds as Testbeds for Planning with Incomplete Information

    Craig Tovey and Sven Koenig, Georgia Institute of Technology

    819

    PDF

Robotics

  • A Method for Clustering the Experiences of a Mobile Robot that Accords with Human Judgments

    Tim Oates, Matthew D. Schmill, and Paul R. Cohen, University of Massachusetts

    846

    PDF
  • Coordination for Multi-Robot Exploration and Mapping

    Reid Simmons and David Apfelbaum, Carnegie Mellon University; Wolfram Burgard, University of Freiburg; Dieter Fox, Carnegie Mellon University; Mark Moors, University of Bonn; Sebastian Thrun and Håkan Younes, Carnegie Mellon University

    852

    PDF
  • Monte Carlo Localization with Mixture Proposal Distribution

    Sebastian Thrun and Dieter Fox, Carnegie Mellon University; Wolfram Burgard, University of Freiburg

    859

    PDF
  • Appearance-Based Obstacle Detection with Monocular Color Vision

    Iwan Ulrich and Illah Nourbakhsh, Carnegie Mellon University

    866

    PDF
  • Multi-Fidelity Robotic Behaviors: Acting with Variable State Information

    Elly Winner and Manuela Veloso, Carnegie Mellon University

    872

    PDF
  • Performance Comparison of Landmark Recognition Systems for Navigating Mobile Robots

    Tom Duckett, University of Örebro; Ulrich Nehmzow, University of Manchester

    826

    PDF
  • Active Audition for Humanoid

    Kazuhiro Nakadai and Tino Lourens, Japan Science and Technology Corporation; Hiroshi G. Okuno, Japan Science and Technology Corporation and Science University of Tokyo; Hiroaki Kitano, Japan Science and Technology Corporation and Sony Computer Science Laboratories, Inc.

    832

    PDF
  • Property Mapping: A Simple Technique for Mobile Robot Programming

    Illah R. Nourbakhsh, Carnegie Mellon University

    840

    PDF

Search

  • Dynamic Representations and Escaping Local Optima: Improving Genetic Algorithms and Local Search

    Laura Barbulescu, Jean-Paul Watson, and L. Darrell Whitley, Colorado State University

    879

    PDF
  • Localizing A*

    Stefan Edelkamp, Institut für Informatik; Stefan Schrödl, DaimlerChrysler Research and Technology

    885

    PDF
  • Speeding up the Convergence of Real-Time Search

    David Furcy and Sven Koenig, Georgia Institute of Technology

    891

    PDF
  • Change Detection in Heuristic Search

    Eyke Hüllermeier, IRIT -- Université Paul Sabatier

    898

    PDF
  • Preference-Based Search for Scheduling

    Ulrich Junker, ILOG

    904

    PDF
  • Divide-and-Conquer Frontier Search Applied to Optimal Sequence Alignment

    Richard E. Korf, University of California, Los Angeles; Weixiong Zhang, USC Information Sciences Institute

    910

    PDF
  • Asynchronous Search with Aggregations

    Marius Calin Silaghi, Djamila Sam-Haroud, and Boi Faltings, Swiss Federal Institute of Technology

    917

    PDF
  • A* with Partial Expansion for Large Branching Factor Problems

    Takayuki Yoshizumi, Teruhisa Miura, and Toru Ishida, Kyoto University

    923

    PDF
  • Depth-First Branch-and-Bound versus Local Search: A Case Study

    Weixiong Zhang, University of Southern California

    930

    PDF

Student Abstracts

  • Deriving and Using Abstract Representation in Behavior-Based Systems

    Monica N. Nicolescu and Maja J. Mataric, University of Southern California

    1087

    PDF
  • Model-Based-Diagnosis for Fault Management in Telecommunications Networks

    Aomar Osmani, LIPN

    1088

    PDF
  • Representation and Evolution of Lego-Based Assemblies

    Maxim Peysakhov, Vlada Galinskaya, and William C. Regli, Drexel University

    1089

    PDF
  • Intelligent Monitoring in a Robotic Assistant for the Elderly

    Sailesh Ramakrishnan and Martha E. Pollack, University of Pittsburgh

    1090

    PDF
  • Towards Efficient Negotiation Mechanisms for Collaboration

    Timothy Rauenbusch, Harvard University

    1091

    PDF
  • Behavior Acquisition and Classification: A Case Study in Robotic Soccer

    Patrick Riley and Manuela Veloso, Carnegie Mellon University

    1092

    PDF
  • Small-World Networks of Mobile Robots

    Stergios I. Roumeliotis and Maja J. Mataric, University of Southern California

    1093

    PDF
  • Towards Approximately Optimal Poker

    Jiefu Shi and Michael Littman, Duke University

    1094

    PDF
  • Team-Aware Multirobot Strategy for Cooperative Path Clearing

    Gita Sukthankar, Carnegie Mellon University

    1095

    PDF
  • Interfacing Issues for Information Extraction

    Peter Vanderheyden and Robin Cohen, University of Waterloo

    1096

    PDF
  • Clustering with Instance-Level Constraints

    Kiri Wagstaff and Claire Cardie, Cornell University

    1097

    PDF
  • An ILP Method Based on Instance Graph

    Runqi Zhang, State University of New York at Buffalo

    1098

    PDF
  • Incremental and Distributed Learning with Support Vector Machines

    Doina Caragea, Adrian Silvescu, and Vasant Honavar, Iowa State University

    1067

    PDF
  • System that Identifies Writers

    Sung-Hyuk Cha and Sargur N. Srihari, State University of New York at Buffalo

    1068

    PDF
  • Using Anytime Planning for Centralized Coordination of Multiple Robots in Real-Time Dynamic Environments

    Gabriel J. Ferrer, Glenn S. Wasson, James P. Gunderson, and Worthy N. Martin, University of Virginia

    1069

    PDF
  • MURDOCH: Publish/Subscribe Task Allocation for Heterogeneous Agents

    Brian P. Gerkey and Maja J. Mataric, University of Southern California

    1070

    PDF
  • Domain-Specific Knowledge Acquisition Using WordNet

    Roxana Girju, Southern Methodist University

    1071

    PDF
  • Graph Based Concept Learning

    Jesus A. Gonzalez, Lawrence B. Holder, and Diane J. Cook, University of Texas at Arlington

    1072

    PDF
  • An Adaptive Planner Based on Learning of Planning Performance

    Kreshna Gopal and Thomas R. Ioerger, Texas A&M University

    1073

    PDF
  • Knowledge Representation on the Internet: Achieving Interoperability in a Dynamic, Distributed Environment

    Jeff Heflin, University of Maryland

    1074

    PDF
  • Using Pattern Databases to Find Macro Operators

    István T. Hernádvölgyi, University of Ottawa

    1075

    PDF
  • Autonomous Multi-Agent Docking Using Color Segmentation

    Jeffrey Hyams, University of South Florida

    1076

    PDF
  • Ontology Integration in XML

    Euna Jeong, National Taiwan University; Chun-Nan Hsu, Academia Sinica

    1077

    PDF
  • Graph-Based Hierarchical Conceptual Clustering in Structural Databases

    Istvan Jonyer, Lawrence B. Holder, and Diane J. Cook, University of Texas at Arlington

    1078

    PDF
  • Situation Awareness with the Limited Visual Attention

    Youngjun Kim, Randall W. Hill, Jr., and Jonathan Gratch, University of Southern California

    1079

    PDF
  • Language Learning in Large Parameter Spaces

    Karen T. Kohl, MIT Artificial Intelligence Laboratory

    1080

    PDF
  • Reinforcement Learning for Algorithm Selection

    Michail G. Lagoudakis, Duke University; Michael L. Littman, AT&T Labs -- Research and Duke University

    1081

    PDF
  • Tracing Dependencies of Strategy Selections in Agent Design

    Dung N. Lam and K. S. Barber, University of Texas at Austin

    1082

    PDF
  • Programming Robot Behavior Primitives through Human Demonstration

    Amy Larson and Richard Voyles, University of Minnesota

    1083

    PDF
  • An Implementation of the Combinatorial Auction Problem in ECLiPSe

    Robert Menke and Rina Dechter, University of California, Irvine

    1084

    PDF
  • A Semi-Complete Disambiguation Algorithm for Open Text

    Rada Mihalcea, Southern Methodist University

    1085

    PDF
  • Combining Classification and Temporal Learning

    Matthew Winston Mitchell, Monash University

    1086

    PDF
  • Identifying Words to Explain to a Reader: A Preliminary Study

    Greg Aist, Carnegie Mellon University

    1061

    PDF
  • Speculative Execution for Information Agents

    Greg Barish, Craig A. Knoblock, and Steven Minton, University of Southern California

    1062

    PDF
  • Heterogeneous Neuron Models Based on Similarity

    Lluís A. Belanche Muñoz, Universitat Politècnica de Catalunya

    1063

    PDF
  • Mixed-Initiative Reasoning for Integrated Domain Modeling, Learning and Problem Solving

    Mihai Boicu and Gheorghe Tecuci, George Mason University

    1064

    PDF
  • A Methodology for Modeling and Representing Expert Knowledge that Supports Teaching-Based Intelligent Agent Development

    Michael Bowman, Gheorghe Tecuci, and Mihai Boicu, George Mason University

    1065

    PDF
  • Automated Learning of Pricing and Bundling Strategies in Information Economies

    Christopher H. Brooks and Edmund H. Durfee, University of Michigan

    1066

    PDF

SIGART/AAAI Doctoral Consortium

  • Online Ensemble Learning

    Nikunj C. Oza, University of California, Berkeley

    1109

    PDF
  • Learning Landmarks for Robot Localization

    Robert Sim and Gregory Dudek, McGill University

    1110

    PDF
  • Refining Inductive Bias in Unsupervised Learning via Constraints

    Kiri Wagstaff, Cornell University

    1112

    PDF
  • Artificial Intelligence-Based Computer Modeling Tools for Controlling Slag Foaming in Electric Furnaces

    Eric Wilson, University of Alabama

    1113

    PDF
  • Helping Children Learn Vocabulary during Computer Assisted Oral Reading

    Greg Aist, Carnegie Mellon University

    1100

    PDF
  • Adaptive Learning Systems: A Model for Business Entrepreneurs to Implement IT

    Dessa David, City University of New York

    1102

    PDF
  • Automatic Generation of Memory Based Search Heuristics

    István T. Hernádvölgyi, University of Ottawa

    1103

    PDF
  • Reasoning and Acting in Time

    Haythem O. Ismail, State University of New York at Buffalo

    1104

    PDF
  • Ontology Integration in XML

    Euna Jeong, National Taiwan University, Chun-Nan Hsu, Academia Sinica

    1105

    PDF
  • Belief Revision in a Deductively Open Belief Space

    Frances L. Johnson, State University of New York at Buffalo

    1106

    PDF
  • Selective Sampling with Co-Testing: Preliminary Results

    Ion Muslea, Steven Minton, and Craig A. Knoblock, University of Southern California

    1107

    PDF
  • Grounding State Representations in Sensory Experience for Reasoning and Planning by Mobile Robots

    Daniel Nikovski, Carnegie Mellon University

    1108

    PDF

Intelligent Systems Demos

  • Sensible Agents: Demonstration of Dynamic Adaptive Autonomy

    K. S. Barber, A. Goel, D. C. Han, J. Kim, D. N. Lam, T. H. Liu, C. E. Martin, and R. McKay, The University of Texas at Austin

    1115

    PDF
  • The Systems Engineering Process Activities (SEPA) Methodology and Tool Suite

    K. Suzanne Barber, Thomas Graser, Paul Grisham, Stephen Jernigan, and Sutirtha Bhattacharya, The University of Texas at Austin

    1117

    PDF
  • Qualitative Spatial Interpretation of Course-of-Action Diagrams

    Ronald W. Ferguson, Northwestern University; Robert A. Rasch, Jr., Battle Command Battle Lab (BCBL); William Turmel and Kenneth D. Forbus, Northwestern University

    1119

    PDF
  • TV Content Recommender System

    Srinivas Gutta, Kaushal Kurapati, KP Lee, Jacquelyn Martino, John Milanski, J. David Schaffer, and John Zimmerman, Philips Research

    1121

    PDF
  • The Chimaera Ontology Environment

    Deborah L. McGuinness and Richard Fikes, Stanford University; James Rice, CommerceOne; Steve Wilder, Stanford University

    1123

    PDF
  • Matchmaking to Support Intelligent Agents for Portfolio Management

    Massimo Paolucci, Zhendong Niu, Katia Sycara, Constantine Domashnev, Sean Owens, and Martin Van Velsen, Carnegie Mellon University

    1125

    PDF
  • Adaptive User Interfaces through Dynamic Design Automation

    Robin R. Penner and Erik S. Steinmetz, University of Minnesota; Christopher L. Johnson, Honeywell Technology Center

    1127

    PDF
  • User Interface Softbots

    Robert St. Amant and Luke S. Zettlemoyer, North Carolina State University

    1129

    PDF
  • O-Plan: A Web-Based AI Planning Agent

    Austin Tate, Jeff Dalton, and John Levine, The University of Edinburgh

    1131

    PDF
  • Customer Coalitions in the Electronic Marketplace

    M. Tsvetovat, K. Sycara, Y. Chen, and J. Ying, Carnegie Mellon University

    1133

    PDF
  • Non-Axiomatic Reasoning System (Version 4.1)

    Pei Wang, Intelligenesis Corporation and Indiana University

    1135

    PDF
  • Untangle: A New Ontology for Card Catalog Systems

    Christopher Welty and Jessica Jenkins, Vassar College

    1137

    PDF

Robot Competition and Exhibition

  • Symbol Recognition and Artificial Emotion for Making an Autonomous Robot Attend the AAAI Conference

    François Michaud, Dominic Létourneau, Jonathan Audet, and François Bélanger, Université de Sherbrooke

    1140

    PDF
  • The Blue Swarm

    Dan Stormont, Utah State University

    1142

    PDF

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