Proceedings July 26 - 30, 1998, Madison, Wisconsin
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1998
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| 111 | 2 | |a National Conference on Artificial Intelligence |n 15 |d 1998 |c Madison, Wis. |j Verfasser |0 (DE-588)5305949-9 |4 aut | |
| 245 | 1 | 0 | |a Proceedings |b July 26 - 30, 1998, Madison, Wisconsin |c fifteenth National Conference on Artificial Intelligence (AAAI-98) ; tenth Conference on Innovative Applications of Artificial Intelligence (IAAI-98) |
| 246 | 1 | 3 | |a AAAI-98 |
| 246 | 1 | 3 | |a IAAI-98 |
| 264 | 1 | |a Menlo Park, Calif. [u.a.] |b AAAI Press |c 1998 | |
| 300 | |a XXIV, 1218 S. |b Ill., graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
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| 655 | 7 | |0 (DE-588)1071861417 |a Konferenzschrift |y 1998 |z Madison Wis. |2 gnd-content | |
| 689 | 0 | 0 | |a Künstliche Intelligenz |0 (DE-588)4033447-8 |D s |
| 689 | 0 | |5 DE-604 | |
| 711 | 2 | |a Conference on Innovative Applications of Artificial Intelligence |n 10 |d 1998 |c Madison, Wis. |j Verfasser |0 (DE-588)5305950-5 |4 aut | |
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| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-008211434 | |
Datensatz im Suchindex
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| _version_ | 1822410260349976576 |
| adam_text |
Contents
Preface
/ xix
AAAI-98/IAAI-98
Program Committee
/ xxi
Sponsoring Organizations and Outstanding Papers
/ xxiv
AAAI-98 Technical Papers
AAÁI-98
Outstanding Papers
Learning Evaluation Functions for Global Optimization and Boolean Satisfiability
/ 3
Justin
A. Boyan
and Andrew W.Moore, Carnegie Mellon University
The Interactive Museum Tour-Guide Robot
/11
Wolfram
Burgard, Armin
В.
Cremers, Dieter Fox and Dirk Hähnel,
University of Bonn;
Gerhard Lakemeyer, Aachen
University of
Technobgy; Dirk Schulz and Waber Steiner,
University of Bonn;
Sebastian Thrun, Carnegie Mellon
University
Acceleration Methods for Numeric CSPs
/19
Yahia Lebbah and Olivier Lhomme,
Ecole des
Mines
de
Nantes
-
La Chantrerie
Agents
Agent Interaction
Minimal Social Laws
/ 26
David Fitoussi and
Moshe
Tennenhokz, Technion-Israel Institute of Technology
Optimal Auctions Revisited
/ 32
Dov
Monderer and
Moshe
Tennenhokz, Technion-Israel Institute of 'Technology
Formal Models of
Agente'
Commitments
Leveled Commitment Contracts with Myopic and Strategic Agents
/ 38
Martin R.
Andersson
and Tuomas W. Sandholm, Washington University
Anytime Coalition Structure Generation with Worst Case Guarantees
/ 46
Tuomas Sandholm, Kate Larson and
Martín
Andersson,
Washington University; Onn Shehory, Camegie Mellon University; Fernando
Tohmé,
Washington University
Motivation and Emotion
A Motivational System for Regulating Human-Robot Interaction
/ 54
Cynthia Breazeal (Ferrell), Massachusetts Institute of Technology
Emotion Model for Life-Like Agent and Its Evaluation
/ 62
Hirohide Ushida, Yuji Hirayama andHiroshiNakajima, OMRON'Corporation
When Robots Weep: Emotional Memories and Decision-Making
/ 70
JuanD. Velasquez,
МГГ
Artificial Intelligence Laboratory
Parallel
AI
/
Agents
and Representation
Natural Language Multiprocessing: A Case Study
/ 76
Enrico
Puntelli, Gopal
Gupta, Janyce Wiebe and David FarweiL New Mexico State University
Metacognition in Software Agents Using Classifier Systems
/ 83
Zhaohua Zhang, Stan Franklin and Dipankar Dasgupta, The University of Memphis
Social Agents
Agents that Work in Harmony by Knowing and Fulfilling their Obligations
/ 89
Mihai Barbuceanu, University of Toronto
What Is Wrong With Us? Improving Robustness through Social Diagnosis
/ 97
Gal A. Kominka andMilind
Tambe,
University of Southern California
AI
and Education
Procedural Help in Andes: Generating Hints Using a Bayesian Network Student Model
/106
Abigails.
Gertner,
Cristina
Conati
and Kurt VanLehn, University of Pittsburgh
Generating Coordinated Natural Language and
3D
Animations for Complex Spatial Explanations
/112
Stuart G. Towns, Charles B. CaUaway and James C. Lester, North Carolina State University
Automated Reasoning
Belief Revision and Inconsistency
Reasoning under Inconsistency Based on Implicidy-Specified Partial Qualitative Probability Relations:
A Unified Framework
/ 121
S. Benferhat, D.
Dubois,
J. Lang and H.
Prade, IRIT,
Université
Paul
Sabotier;
A. Soffietti
and P.
Smets,
IRIDIA,
Université Libre de Bruxelles
Belief
Revision
with Unreliable
Observations
/127
Craig
Boutiber,
University of British Columbia; Nir Friedman, University of California, Berkeley; Joseph Y.
Holpern,
Cornell University
Design and Diagnosis
Toward Design as Collaboration
/135
Susan
L
Epstein, Hunter College and The Graduate School of The City University of New York
An Architecture for Exploring Large Design Spaces
/ 143
John
R
Josephson,
В.
Chandrasekaran, Mark Carroll andNaresh Iyer, The Ohio State University; Bryon Wasacz, The Ohio State
University and Motorola SPS; Giorgio Rizzoni and Qingyuam Li, The Ohio State University; David A. Erb, The Ohio State University
and
ERB
Professional Services
Constructing the Correct Diagnosis When Symptoms Disappear
/151
Nancy
E Reed,
Linköpings Universitet
Graphical Probabilistic Models
Structured Representation of Complex Stochastic Systems
/157
Mr Friedman, University of California, Berkeley; Daphne
Koller
and
Avi
Pfeffer,
Stanford University
Solving Very Large Weakly Coupled Markov Decision Processes
/165
Nicolas Meuleau,
Milos
Hauskrecht,
Кее
-EungKìm,
Leonid Peshkin, Leslie Pack Kaelblingand Thomas Dean, Brown University;
Craig
Bouńlier,
University of British Columbia
vi
Speech
Recognition with Dynamic Bayesian Networks
/173
Geoffrey
Zweig
and'StuartRussell
,
University of California, Berkeley
Model Construction and Analysis
Multimodal
Reasoning for Automatic Model Construction
/181
Reinhard Stolle
and Elizabeth Bradley, University of
Cobrado
at Boulder
Discovering Admissible Simultaneous Equations of Large Scale Systems
/189
Takashi Washio and Hiroshi Motoda, Osaka University
Decomposition^, Model-Based Learning and its Analogy to Diagnosis
/197
Brian
С
Williams, NASA Ames Research Center and William MiUar, NASA Ames Research Center/Caelum Research Corporation
Modeling the Web
What Can Knowledge Representation Do for Semi-Structured Data?
/ 205
Diego Calvanese, Giuseppe
De Giacomo
and
Maurizio
Lenzerini,
Università di Roma "La Sapienza"
Modeling
Web
Sources for
Information Integration
/211
Craig
A. Knobbck,
Steven
Minton, Jose LuL·
Ambite, Naveen Ashish, Pragnesh
Jay
Modi,
Ion Muslea, Andrew
G.
Philpot, and
Sheila
Tejada,
University of
Southern
California
Qualitative Modeling
An Ontology for Transitions in Physical Dynamic Systems
/219
Pieter
J.
Mosterman,
DLR Oberpfaffenhofen;
Feng Zhao, The Ohio State University; Gautam Biswas, Vanderbilt University
A New Architecture for Automated Modelling
/ 225
Neil Smith, DeMontfort University
Qualitative Reasoning Techniques
Qualitative Analysis of Distributed Physical Systems with Applications to Control Synthesis
/ 232
Christopher BaiUy-KeUagg and Feng Zhao, Xerox Palo
Aho
Research Center
Qualitative Simulation as a Temporally-Extended Constraint Satisfaction Problem
/ 240
Daniel
J
.
Clancy, CaellumlNASA Ames Research Center and Benjamin J.
Kuipen,
University of Texas at Austin
Temporal Reasoning
Backtracking Algorithms for Disjunctions of Temporal Constraints
/ 248
Kostas
Stergiou andManolis Koubarakis, UMIST
Fast Transformation of Temporal Plans for Efficient Execution
/ 254
Ioann'ts Tsamardinos, University of Pittsburgh; Nicola MuscettoL· and Paul Morris, NASA Ames Research Center
Theorem Proving
An Algorithm to Evaluate Quantified Boolean Formulae
/ 262
Marco Cadoli, Andrea Giovanardi and Marco Schaerf,
Università di Roma "La Sapienza"
Two Forms of Dependence in Propositional Logic: Controllability and Definability
/ 268
Jérôme
Lang, IRU-UPS and Pierre Marquis, CRILJUniversiti d'Artou
Anytime Approximate Modal Reasoning
/ 274
Fabio Massacci, Università di Roma "La Sapienza"
vii
Tractable Inference
Algorithms for Prepositional KB Approximation
/ 280
Yacine Boufkhad, CRIL
Université d'Artois
A Non-Deterministic Semantics for Tractable Inference
/ 286
James M. Crawford,
i2
Technologies and DavidW. Etherington, University of Oregon
Computing Intersections of Horn Theories for Reasoning with Models
/ 292
Thomas
Eiter, Universität Gießen;
Toshihide Ibaraki, Kyoto University; Kazuhisa Makino, Osaka University
Constraint Satisfaction and Search
Analysis of Search
The Branching Factor of Regular Search Spaces
/ 299
Stefan Edelkamp,
Universität
Freiburg and Richard
E. Korf,
University of
California, Los
Angeles
Complexity Analysis of Admissible Heuristic Search
/ 305
Richard
E. Korf,
University of California, Los Angeles and Michael Reid, Brown University
Constraint Satisfaction Problems
On the Conversion between Non-Binary and Binary Constraint Satisfaction Problems
/311
Fahiem Bacchus,
University
of Waterloo and Peter van
Beek,
University of Alberta
Generalizing Partial Order and Dynamic Backtracking
/319
Christian
Bliek,
Swiss Federal Institute of Technology
On the Computation of Local Interchangeability in Discrete Constraint Satisfaction Problems
/ 326
Berthe
Y.
Choueiry, Stanford University and Guevara Noubir, Centre
Suisse d'Electronique et de
Microtechnique
Supermodels and Robustness
/ 334
Matthew L· Ginsberg, Andrew J.
Parkes
and Amitabha Roy, University of Oregon
"Squeaky Wheel" Optimization
/ 340
David E. Joslin,
i2
Technologies and David P. Clements, University>oj'Oregon
Reversible
DAC
and Other Improvements for Solving Max-CSP
/ 347
Javier
Lanosa,
Univ. PoL
de Catalunya;
Pedro Meseguer, IIIA-CSIQ Thomas Schiex,
INRA;
Gérard
Verfaillie, ONERA-CERT
Branch and Bound Algorithm Selection by Performance Prediction
/ 353
LionelLobjois andMichel
Lemaître, ONERA-CERT
A Fast Algorithm for the Bound Consistency of Alldiff Constraints
/ 359
Jean-Francois
Puget, ILOG
Using Arc Weights to Improve Iterative Repair
/ 367
John Thornton, Griffith University Gold Coast and Abdul
Sanar,
Griffith University
An Integer Local Search Method with Application to Capacitated Production Planning
/ 373
Joachim
Ρ
Waber,
Universität des Saarlandes;
Ramesh Iyer andNarayan Venkatasubramanyan,
І2
Technologies
Extending GENET to Solve Fuzzy Constraint Satisfaction Problems
/ 380
Jason H. Y. Wong and Ho-fung Leung, The Chinese University of Hong Kong
Constraint Satisfaction Problems
—
Local Search
Local Search for Statistical Counting
/ 386
Olivier Bailleux, CRIL
Université d'Artois
viii
A Tractable Walsh Analysis of SAT and its Implications for Genetic Algorithms
/ 392
Soraya
Rana,
Robert
В.
Heckendorn
and
Darreil
Whitley, Colorado State University
Constraint
Satisfaction
Problems
—
Understanding Intractability
Hard Problems for CSP Algorithms
/ 398
David G. Mitchell, University of Toronto
The Constrainedness Knife-Edge
/ 406
Toby Wabh, University ofStrathclyde
Heuristic Search
Heuristic Search in Cyclic AND
/
OR Graphs
/ 412
Eric A.
Hansen
andShlomo Zilberstein, University of
Massachusetts
Single-Agent Search in the Presence of Deadlocks
/419
Andreas
Junghanns
and Jonathan Schaeffer, University of Alberta
Complete Anytime Beam Search
/ 425
Weixiong Zhang, University of Southern California
Random Approaches to Search
Boosting Combinatorial Search through Randomization
/431
Carla
P. Gomes and Bart
Selmán,
Cornell University; Henry Kautz, AT&T Labs
Which Search Problems Are Random?
/ 438
Tad Hogg, Xerox Palo Alto Research Center
Search and limited Resources
A* with Bounded Costs
/ 444
Brian Logan and Natasha AUchina, University of Birmingham
Stochastic Node Caching for Memory-Bounded Search
/ 450
Teruhisa Miura and
Toru Iskida,
Kyoto University
Search Control in Theorem Proving
A Feature-Based Learning Method for Theorem Proving
/ 457
Matthias
Fuchs,
Australian National University
Learning Investment Functions for Controlling the Utility of Control Knowledge
/ 463
Oleg
Ledeniov and Shaul Markovitch, Technion
Uncertainty Search and Optimization
Fast Probabilistic Modeling for Combinatorial Optimization
/ 469
Shumeet
Baluja,
Justsystem
Pittsburgh Research Center and Carnegie Mellon University and Scott Davies, Carnegie Mellon University
Highest Utility First Search Across Multiple Levels of Stochastic Design
/ 477
Louis Steinberg, J. Storrs HaU and Brian D. Davison, Rutgers University
Evolvable Hardware
Evolvable Hardware Chip for High Precision Printer Image Compression
/ 486
Hidenori Sakanashi, Mehrdad Salami and Masaya Iwata, Electrotechnical Laboratory; Shogo Nakaya, Tsukasa Yamauchi,
Takeshi Inuo, and Nobuki Kajihara, RWCP Adaptive Device NEC Laboratory; Tetsuya Higuchi, Electrotechnical Laboratory
IX
Game Playing
Opponent Modeling in Poker
/ 493
Darse
Billings, Denis
Papp,
Jonathan Schaeffer and Duane Szafron, University of Alberta
Finding Optimal Strategies for Imperfect Information Games
/ 500
Ian Frank, Electrotechnical Laboratory; David Basin,
Universität
Freiburg; Hitoshi Matsubara, Electrotechnical Laboratory
Information Extraction
Learning to Extract Symbolic Knowledge from the World Wide Web
/ 509
Mark Craven, Dan DiPasquo and Dayne
Freitag,
Carnegie Mellon University; Andrew McCallum, Just Research and Carnegie Mellon
University; Tom Mitchell, KatnalNigam and Sean Sbttery, Carnegie Mellon University
Information Extraction from HTML: Application of a General Machine Learning Approach
/517
Dayne
Freitag,
Carnegie Mellon University
Towards Text Knowledge Engineering
/ 524
Udo Hahn
and
Klemens Schnattinger,
Freiburg University
Answering Questions for an Organization Online
/ 532
Vladimir A. Kulyukin,
Kristian
J. Hammond and Robin D. Burke, University of Chicago
Integrated
AI
Systems
BIG: A Resource-Bounded Information Gathering Agent
/ 539
Victor Lesser, Bryan
Horung,
Frank
Klassner,
Anita Raja, Thomas 'Wagner and
Shelley XQ. Zhang, University of Massachusetts, Amherst
Intelligent Environments
Design Principles for Intelligent Environments
/ 547
Michael H.
Coen,
MIT
Artificial Intelligence Lab
Cooperating widi People: The Intelligent Classroom
/ 555
David Franklin, University of Chicago
Planning and Problem Solving
Integrating
AI
Components for a Military Planning Application
/561
Marie A. Bienkowski, SRI International and Louis J. Hoebei General Electric CRD
TRIPS: An Integrated Intelligent Problem-Solving Assistant
/ 567
George Ferguson and James F. Allen, University of Rochester
Knowledge Representation
Concepts and Context
Knowledge Intensive Exception Spaces
/ 574
Sarabjot S. Anand, David W. Patterson and John G. Hughes, University of Ulster atJordanstoum
Probabilistic Frame-Based Systems
/ 580
Daphne
Koller
and
Avi
Pfiffer, Stanford
University
Fuzzy Logic
Logical Representation and Computation of Optimal Decisions in a Qualitative Setting
/ 588
Didier Dubois,
DanielL·
Berre,
Henri Prade,
andRegis Sabbadin,
IRIT-
Université
Paul
Sabotier
A Fuzzy Description Logic
/ 594
Umberto Straccia,
I.E.I.
-
C.N.R.
Knowledge Base Design
OKBC: A Programmatic Foundation for Knowledge Base Interoperability
/ 600
Vinay K. Chaudbri, SRI International; Adam Farquhar and Richard Fikes, Stanford University; Peter D.
Karp,
Pangea Systems;
James P. Rice, Stanford University
Usability Issues in Knowledge Representation Systems
/ 608
Deborah L. McGuinness, AT&T Labs
—
Research and Peter F. Patel-Schneider, Bell Labs Research
Representing Scientific Experiments: Implications for Ontology Design and Knowledge Sharing
/615
Natalya
Fridman
Noy
and Carole D.
Hafner,
Northeastern University
Representation of Action
An Action Language Based on Causal Explanation: Preliminary Report
/ 623
Enrico
Giunchiglia,
DIST-
Università di Genova and Vladimir
Lifichitz, University of
Texas
at Austin
Abductive Planning with Sensing
/631
Matthew Stone, University of Pennsylvania
Robotics
A Formal Methodology for Verifying Situated Agents
/ 637
Phan Minh Dung, Asian Institute of Technology
An Algebra for Cyclic Ordering of 2D Orientations
/ 643
Amar
Isii
and Anthony G. Cohn, University of Leeds
Time and Representation
The Temporal Analysis of Chisholms Paradox
/ 650
Leendert W.
N.
van
der
Torre, Paul Sabatier University and Yao-Hua Tan, Erasmus University
Temporal Reasoning with Qualiutive and Quantitative Information about Points and Durations
/ 656
Rattana Wetprasit and Abdul
Sanar,
Griffith University
Learning
Iterated Phantom Induction: A Little Knowledge Can Go a Long Way
/ 665
Mark Brodie and Gerald Dejong, University of Illinois at Urbana-Champaign
SUSTAIN: A Model of Human Category Learning
/ 671
Bradley C. Love and Douglas L.
Medin,
Northwestern University
Genetic Algorithm Applications
Optimal 2D Model Matching Using a Messy Genetic Algorithm
/ 677
/.
Ross
Beveridge,
Colorado State University
Learning Cooperative Lane Selection Strategies for Highways
/ 684
David E. Moriarty, University of Southern California and Pat Langley, Daimler-Benz Research
&
Technology Center
Inductive Learning
Boosting in the Limit: Maximizing the Margin of Learned Ensembles
/ 692
Adam
J
.
Grove and Dale Schuurmans, NEC Research Institute
xi
Boosting Classifiers Regionally
/ 700
Richard
Maciin,
University ofMinnesota-Duluth
Robust Classification Systems for Imprecise Environments
/ 706
Foster Provost and Tom Fawcett, Bell Atlantic Science and Technology
Learning about People
Recommendation as Classification: Using Social and Content-Based Information in Recommendation
/714
Chumki
Basu,
Bell Communications Research and Rutgers University; Haym Hirsh, Rutgers University; William Cohen,
AT&T Laboratories
Learning to Predict User Operations for Adaptive Scheduling
/721
Melinda
T.
Gervasio,
Wayne
Iba
and Pat Langley, Institute for the Study of Learning and Expertise
Adaptive Web Sites: Automatically Synthesizing Web Pages
/ 727
Mike Perkowitz and
Oren
Etzioni, University ofWashington
Learning from Sequences
Feature Generation for Sequence Categorization
/ 733
Daniel Kudenko and Haym Hirsh, Rutgers University
Concepts from Time Series
/ 739
Michael T.
Rosenstein
and Paul
R
Cohen, University of Massachusetts
Reinforcement Learning
The Dynamics of Reinforcement Learning in Cooperative Multiagent Systems
/ 746
Caroline
Claus
and Craig Boutilier, University ofBrirish Columbia
Applying Online Search Techniques to Continuous-State Reinforcement Learning
/ 753
Scott Davits, Carnegie Mellon
University;
Andrew Y. Ng, Massachusetts Institute of Technology; Andrew Moore,
Carnegie Mellon University
Bayesian Q-Learning
/761
Richard Dearden, University of British Columbia; Mr Friedman arid Stuart Russell, University of California, Berkeley
Tree Based Discretization for Continuous State Space Reinforcement Learning
/ 769
William
R
В.
Uther and Manueh M. Veloso, Carnegie Mellon University
Natural Language
Gxammar and Language
A Sampling-Based Heuristic for Tree Search Applied to Grammar Induction
/ 776
Hugues
JuilU and Jordan B. Pollack,
Brandeis
University
Ambiguity and Constraint in Mathematical Expression Recognition
/ 784
Erik G. Miller and Paul A Viola, Massachusetts Institute of Technology
I .earning in Natural Language
Learning to Classify Text from Labeled and Unlabeled Documents
/ 792
KamalNigam, Carnegie Mellon University; Andrew McCallum, Just Research and Carnegie Mellon University; Sebastian Thrunand
Tom Mitchell, Carnegie Mellon University
Knowledge Lean Wonl
—
Sense Disambiguation
/ 800
TedPedersen, Southern Methodist University and Rebecca Bruce, University of
Nord)
Carolina atAsheville
xii
Learning to Resolve Natural Language Ambiguities: A Unified Approach
/ 806
Dan Roth, University of Illinois at Urbana-Champaign
Natural Language Generation
Generating Inference-Rich Discourse through Revisions of RST-Trees
/814
Helmut
Horaček,
Universität des Saarlandes
Machine
Learning of Generic and User-Focused Summarization
/821
Inderjeet
Mani
and Eric Bhedorn, The MITRE Corporation
Natural Language Generation
—
Argumentation
Hermes: Supporting Argumentative Discourse in Multi-Agent Decision Making
/ 827
Nikos Karacapilidis, Swiss Federal Institute of Technology andDimitris Papadias, Hong Kong University of Science and Technology
Bayesian Reasoning in an Abductive Mechanism for Argument Generation and Analysis
/ 833
Ingrid
Zukerman, Richard McConachy and Kevin B.
Korb, Monash
University
Nonmonotonic Reasoning
Fixpoint 3-Valued
Semantics for Autoepistemic Logic
/ 840
Marc Denecker,
К
U.
Leuven;
Victor
Marek
andMiroshw Truszczynski, University of Kentucky
Experimenting with Power Default Reasoning
/ 846
Eric Mavins and William C. Rounds, University of Michigan; Guo-Qiang Zhang University of Georgia
Reducing Query Answering to Satisfiability in Nonmonotonic Logics
/853
Riccardo
Rosati, Università di Roma "La Sapienza"
Planning
Improving
Big Plans
/ 860
NealLesh,
Nathaniel
Martin and James
Allen, University of Rochester
Controlling Communication in Distributed Planning Using Irrelevance Reasoning
/ 868
Michael Wolverton and Marie
desjardins, SRI
International
Frameworks for Plan Generation
Automatic OBDD-Based Generation of Universal Plans in Non-Deterministic Domains
/ 875
Alessandro
Cimam,
Marco
Roveri
and Paolo
Traverso,
IRST
Hybrid Planning for Partially Hierarchical Domains
/ 882
Subbarao Kambhampati, AmolMali andBiplav Srivastava, Arizona State University
Graph Plan
Conformant
Graphplan / 889
David E.
Smith, NASA Ames Research Center and Daniel S. Weld, University of Washington
Extending
Graphplan
to Handle Uncertainty
&
Sensing Actions
/ 897
DanielS. Weld and Conn
R
Anderson, University ofWashington; David E. Smith, NASA Ames Research Center
Plan Efficiency
Inferring State Constraints for Domain-Independent Planning
/ 905
Alfonso Gerevini,
Università di
Brescia and Lenhart Schubert, University of Rochester
ХШ
Analyzing External Conditions to Improve the Efficiency of HTN Planning
/913
Reiko Tsuneto, James Hendler and Dana
Nau,
University of Mary fond
Plan Execution
Managing Multiple Tasks in Complex, Dynamic Environments
/921
Michael Freed, NASA Ames Research Center
Maintaining Consistency in Hierarchical Reasoning
/ 928
Robert E. Wray, III and John Laird, The University of Michigan
Plan Recognition
Acquisition of Abstract Plan Descriptions for Plan Recognition
/ 936
Mathias
Bauer, German Research Center fir Artificial Intelligence
Needles in a Haystack: Plan Recognition in Large Spatial Domains Involving Multiple Agents
/ 942
Mark Devaney andAshwin Ram, Georgia
Insrítute
of Technology
Planning as Satisfiability
Act, and die Rest Will Follow: Exploiting Determinism in Planning as Satisfiability
/ 948
Enrico
Giunchiglia
and
Alessandro
Massarotto,
DIST-
Università di Genova; Roberto Sebastiani, IRST
Using Caching to Solve Larger Probabilistic Planning Problems
/ 954
Stephen
M. Majerčík
and Michael
L. Littman,
Duke University
Robotics
Human-Robot Interaction
Alternative Essences of Intelligence
/ 961
Rodney A Brooks, Cynthia Breazeal
(Ferrei!),
Robert
Irte,
Charles
C. Kemp,
Matthew Marjanovic, Brian
Scodellati
and
Matthew M. Williamson, MIT Artificial Intelligence Lab
Eye Finding via Face Detection for a Foveated Active Vision System
/ 969
Brian
ScasseUatí,
MIT
Artificial Intelligence Laboratory
Template-Based Recognition of Pose and Motion Gestures on a Mobile Robot
/ 977
Stefan
Waldherr,
Sebastian Thrun,
Roseli
Romero and Dimitris
Margarita,
Carnegie Mellon University
Robot Navigation
Position Estimation for Mobile Robots in Dynamic Environments
/ 983
Dieter Fox and Wolfram
Burgård,
University of Bonn; Sebastian Thrun, Carnegie Mellon University;
Armin
В.
Cremers,
University of Bonn
Integrating Topological and Metric Maps for Mobile Robot Navigation: A Statistical Approach
/ 989
Sebastian Thrun, Carnegie
Metton
Univernty;
Jens-Steffen Gutmann, Universität
Freiburg; Dieter Fox and Wolfram
Burgård,
University of Bonn; Benjamin J.
Kuipers,
University of Texas at Austin
Sound Understanding
The Role of Data Reprocessing in Complex Acoustic Environments
/ 997
Frank
Klassner, Villanova
Univernty; Victor Lesser, University of Massachusetts, Amherst;
Hamid
Nawab, Boston University
Sound Ontology for Computational Auditory
Scence
Analysis
/ 1004
Tomobiro Nakatani and Hiroshi G. Okuno, NTT Basic Research
Laboratories
xnr
Innovative Applications
of Artificial Intelligence Papers
Deployed Applications
Multi
Machine Scheduling: An Agent-Based Approach
/1013
Rama Akkiraju,
Pinar
Keskinocak, Sesh Murthy and Frederick Wu, IBM T.J. Watson Research Center
Producing BT's Yellow Pages with Formation
/ 1020
Gail Anderson, Andrew Casson-du Mont, Ann Macintosh and Robert Roe,
University
of Edinburgh; Barry Gleeson, Pindar Set Ltd.
Using Artificial Intelligence Planning to Automate
SAR
Image Processing for Scientific Data Analysis
/ 1027
Forest Fisher and Steve
Chien,
Jet Propuhion Laboratory/California Institute of Technology; Edisanter
Lo
and Ronald Greeley, Arizona
State University
Turbine Engine Diagnostics (TED): An Expert Diagnostic System for the Ml Abrams Turbine Engine
/ 1032
Richard Helfinan, EdBaur, John Dunter, Tim Hanratty and Holly Ingham, U.S. Army Research Laboratory
Countrywide Automated Property Evaluation System
-
CAPES
/ 1039
Ingemar
A. E. Hulthage and Iain Stobie, Countrywide Home Loans
Automated Intelligent Pilots for Combat Flight Simulation
/ 1047
Randolph M. Jones, John E. Laird and Paul E. Nielsen, University of Michigan
The NASD Regulation Advanced Detection System (ADS)
/1055
J. Dale Kirkland and TedE. Senator, National Association of Securities Dealers Regulation, Inc.; James J. Hoyden,
SRA
International
Inc.; Tom
Dybała,
Henry G. Goldberg and Ping Shyr, National Association of Securities Dealers ReguUtion, Inc.
A New Technique Enables Dynamic
Replanning
and Rescheduling of
Aeromedicai
Evacuation
/ 1063
Alexander Kott, Victor Saks and Albert Mercer, Carnegie Group, Inc.
Knowledge-Based Avoidance of Drug-Resistant
HIV
Mutants
/1071
Richard H. Lathrop, Nicholas R.
Steffen,
Miriam P. Raphael, Sophia Deeds-Rubin and Michael J. Pazzani, University of California,
Irvine; Paul J. Cimoch, Center for Special Immunology; DarrylM. See andJeremiah G. Ttlles, University of California, Irvine
Success in Spades: Using
AI
Planning Techniques to Win die World Championship of Computer Bridge
/ 1079
Stephen]. J. Smith, Hood College; Dana S.
Nau,
University of Maryhnd; Thomas A. Throop, Great Game Products
ANSWER: Network Monitoring Using Object-Oriented Rules
/ 1087
GaryM. Weiss, AT&T Labs and Rutgers University; Johannes P.
Ros
andAnoop Singhal, AT&T Labs
Emerging Applications
Warfighters Information Packager
/ 1095
Yigal
Arens
and Weixiong Zhang, USC/Information Sciences Institute; Yongwon Lee and
Jon Dukes-Schlossberg, Lockheed Martin; Marc Zev, ISX Corporation
Realtime Constraint-Based Cinematography for Complex Interactive
3D
Worlds
/1101
William H. Bares,
Joël
Ρ
Grégoire
and James
С.
Lester, North Carolina State University
Expert System Technology for Nondestructive Waste Assay
/ 1107
J. C. Determan and
G. K
Becker, Idaho National Engineering and-Environmental Laboratory
Bayesian Network Models for Generation of Crisis Management Training Scenarios
/1113
Eugene Grots, William H.Hsu, Mikhail Vohshin and DavidC. Wilkins, University of Illinois at Urbana-Champaign
Hybrid Knowledge Based System for Automatic Classificaton of B-scan Images
from Ultrasonic Rail Inspection
/ 1121
/.
Jarmulak, Delft University of Technology and
TNO
-
Institute of Applied Physics;
E. J. H. Kerckhoffi, Delft University of Technology;
Ρ
P.
vant
Veen,
TNO
-
Institute of Applied Physics
xv
Control
Strategies in HTN Planning: Theory Versus Practice
/ 1127
Dana S.
Nau,
University of Mary ¡and; Stephen J. J. Smith, Hood College; Kutluhan
Eroi,
Intelligent Automation Inc.
A Prototype Application of Fuzzy Logic and Expert Systems in Education Assessment
/ 1134
James R. Nokn, Siena College
Intelligent Control of Life Support Systems for Space Habitats
/ 1140
Debra
Schreckenghost,
Daniel Ryan, Carroll Thronesbery, Peter Bonasso and Daniel Poirot, NASA Johnson Space Center
1ER
Split Up: The Use of an Argument Based Knowledge Representation to Meet Expectations of
Different Users for Discretionary Decision Making
/ 1146
Andrew
Stranieri,
University ofBaUarat and John Zeleznikow, La Trobe University
An Expert System for Alarm System Planning
/ 1152
Alara
Tsurushima, Kenji Urushima, Daigo
Sakata,
Hiroyuki Date, Masatomo
Nakata,
Yoshinobu Adachi and Kazuhua Takahashi,
SECOM Intelligent Systems Laboratory
Conversation Machines for Transaction Processing
/ 1160
Wlodek Zadrozny, Catherine Wolf,
Nanda Kambhatla
and Timing Ye, IBM T.J. Watson Research Center
SIGART
/
AAAI Doctoral Consortium Abstracts
Optimizing Information Agents by Selectively Materializing
Dara
/ 1168
Naveen Ashish, University of Southern
Califórnia
Generating Adequate Instructions: Knowing When to Stop
/ 1169
Juliet C. Bourne, University of Pennsylvania
HR
-
Automatic Concept Formation in Finite Algebras
/ 1170
Simon Cotton,
University
of Edinburgh
Optimizing Initial Configurations of Neural Networks for the Task of Natural Language Learning
/ 1171
Jaime J.
Davila,
City University of New York
Pragmatic Multi-Agent Learning
/ 1172
Andrew Garland,
Brandeis
University
Perception, Memory, and the Field of View Problem
/ 1173
William S. Gribble, University of Texas at Austin
Exploiting Diversity for Natural Language Processing
/ 1174
John C. Henderson, Johns Hopkins University
Multimodal,
Multilevel Selective Attention
/ 1175
Micheal Hewett, University of Texas at Austin
Learning in Markov Games with Incomplete Information
/1176
JunlingHu, University of Michigan
Extending the Classification Paradigm to Temporal Domains
/ 1177
Mohammed
Waleed
Kadous, University of New South Wales
Data Mining for Maintenance of Complex Systems
/ 1178
Sylvain Létourneau,
University of Ottawa
Empirical Acquisition of Word-Sense Distinctions
/ 1179
Tom O'Hara, New Mexico State University
Neural Approaches to Blind Separation and
Cumulant
Analysis and Its Application to
xvi
Diagnostics
of
Nuclear
Power Plants
/ 1180
Alexei Ourmanov, Institute of Physics and Power Engineering
Bayesian Reasoning for Tropical Cyclone Intensity Forecasting and Risk Analysis
/1181
Grace W. Rumantir, Monash University
Rational Multiagent Organization and Reorganization
/ 1182
Wayne A. Smith, University of South Carolina
A Script-Based Approach to Modifying Knowledge-Based Systems
/ 1183
Marcelo
Tallis,
University of Southern California
Student Abstracts
Learning to Teach with a Reinforcement Learning Agent
/ 1185
Joseph E. Beck, University of Massachusetts, Amherst
Genetic Search for Accurate Feature Sets
/ 1186
Brendan Burns, Williams College
A First Analysis of Qualitative Influences and Synergies
/ 1187
Jesús Cerquides
and Ramon
López de Mantaras,
Spanish Council for Scientific Research
A New Approach to Rule Interest Measures
/ 1188
Jesús
Cerquides and Ramon
López de Mantaras,
Spanish Council for Scientific Research
Classification Using an Online Genetic Algorithm
/ 1189
Brian D. Davison, Rutgers, The State University of New Jersey
Plan Recognition in Complex Spatial Domains
/ 1190
Mark Devaney, Georgia Institute of Technology
Nested Joint Probability Model for Morphological Analysis and its Grid Pruning
/1191
Koji Fujimoto,
Nobuo Inui and Yoshiyuki
Katani,
Tokyo University of Agriculture and Technology
Generalized A* for Cyclic AND/OR Graphs
/ 1192
Supriyo Ghose, Price Waterhouse Associates Pvt. Ltd.
Selection of Conflict Resolution Strategies in Dynamically Organized Sensible Agent-Based Systems
/ 1193
T. H. Liu and
K S.
Barber, The University of Texas at Austin
Refinement-Based Planning as Satisfiability
/ 1194
AmolD. Mali, Arizona State University
Goal and Responsibility Allocation in Sensible Agent-Based Systems
/ 1195
Ryan McKay and
K S.
Barber, The University of Texas at Austin
Tutorial Response Generation in a Writing Tool for Deaf Learners of English
/ 1196
Lisa
N.
Michaud, University of Delaware
Dependent
Bigram
Identification
/ 1197
TedPedersen, Southern Methodist University
Raw Corpus Word Sense Disambiguation
/ 1198
TedPedersen, Southern Methodist University
DISCOURSE LEARNING: Dialogue Act Tagging with Transformation-Based Learning
/ 1199
Ken Samuel, The University of Delaware
xvii
Estimating the Expected Error of Empirical Minimizers for Model Selection
/ 1200
Tobias Scheffer,
Technische Universität
Berlin and
Thorsten
Joachims,
Uni
Dortmund
PLUTO: Managing Multistrategy Learning through Planning
/ 1201
Gordon T. Shippey, J. William Murdoch andAshwin Ram, Georgia Institute of Technology
A Framework for Reinforcement Learning on Real Robots
/ 1202
William D. Smart and Leslie Pack Kaelbling, Brown
University
Handling Inconsistency for Multi-Source Integration
/ 1203
SheiL·
Tejada,
Craig A. Knoblock andSteven Minton, University of Southern Califomia/ISI
Emotion-Based Agents
/ 1204
Rodrigo
M. M.
Ventura and Carlos A. Pinto-Ferreira,
Instituto
Superior
Técnico
DL-$elect: A Decision-List-Based Data-Mining System
/ 1205
Karl Weinmeister, Duke
University
Ensuring Reasoning Consistency in Hierarchical Architectures
/ 1206
Robert E. Wray, III and John Laird, The University of Michigan
Building Agents from Shared Ontologies through Apprenticeship Multistrategy Learning
/ 1207
Kathryn Wright, Mihai Boicu, Seok Won Lee and Gheorghe
Tecuci,
George Mason University
Development of Outdoor Navigation for a Robotic Wheelchair System
/ 1208
Holly A. Yanco, MIT Artificial Intelligence Laboratory
Invited Talk
Structured Probabilistic Models: Bayesian Networks and Beyond
/1210
Daphne
Koller,
Stanford University
Index/
1212
XVIII |
| any_adam_object | 1 |
| author_corporate | National Conference on Artificial Intelligence Madison, Wis Conference on Innovative Applications of Artificial Intelligence |
| author_corporate_role | aut aut |
| author_facet | National Conference on Artificial Intelligence Madison, Wis Conference on Innovative Applications of Artificial Intelligence |
| author_sort | National Conference on Artificial Intelligence Madison, Wis |
| building | Verbundindex |
| bvnumber | BV012125219 |
| classification_rvk | SS 1998 |
| classification_tum | DAT 700f |
| ctrlnum | (OCoLC)634750240 (DE-599)BVBBV012125219 |
| discipline | Informatik |
| format | Conference Proceeding Book |
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| genre_facet | Konferenzschrift 1998 Madison Wis. |
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| indexdate | 2025-01-27T13:50:58Z |
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| spelling | National Conference on Artificial Intelligence 15 1998 Madison, Wis. Verfasser (DE-588)5305949-9 aut Proceedings July 26 - 30, 1998, Madison, Wisconsin fifteenth National Conference on Artificial Intelligence (AAAI-98) ; tenth Conference on Innovative Applications of Artificial Intelligence (IAAI-98) AAAI-98 IAAI-98 Menlo Park, Calif. [u.a.] AAAI Press 1998 XXIV, 1218 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf (DE-588)1071861417 Konferenzschrift 1998 Madison Wis. gnd-content Künstliche Intelligenz (DE-588)4033447-8 s DE-604 Conference on Innovative Applications of Artificial Intelligence 10 1998 Madison, Wis. Verfasser (DE-588)5305950-5 aut Digitalisierung TU Muenchen application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=008211434&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Proceedings July 26 - 30, 1998, Madison, Wisconsin Künstliche Intelligenz (DE-588)4033447-8 gnd |
| subject_GND | (DE-588)4033447-8 (DE-588)1071861417 |
| title | Proceedings July 26 - 30, 1998, Madison, Wisconsin |
| title_alt | AAAI-98 IAAI-98 |
| title_auth | Proceedings July 26 - 30, 1998, Madison, Wisconsin |
| title_exact_search | Proceedings July 26 - 30, 1998, Madison, Wisconsin |
| title_full | Proceedings July 26 - 30, 1998, Madison, Wisconsin fifteenth National Conference on Artificial Intelligence (AAAI-98) ; tenth Conference on Innovative Applications of Artificial Intelligence (IAAI-98) |
| title_fullStr | Proceedings July 26 - 30, 1998, Madison, Wisconsin fifteenth National Conference on Artificial Intelligence (AAAI-98) ; tenth Conference on Innovative Applications of Artificial Intelligence (IAAI-98) |
| title_full_unstemmed | Proceedings July 26 - 30, 1998, Madison, Wisconsin fifteenth National Conference on Artificial Intelligence (AAAI-98) ; tenth Conference on Innovative Applications of Artificial Intelligence (IAAI-98) |
| title_short | Proceedings |
| title_sort | proceedings july 26 30 1998 madison wisconsin |
| title_sub | July 26 - 30, 1998, Madison, Wisconsin |
| topic | Künstliche Intelligenz (DE-588)4033447-8 gnd |
| topic_facet | Künstliche Intelligenz Konferenzschrift 1998 Madison Wis. |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=008211434&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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