Proceedings of the Eleventh National Conference on Artificial Intelligence: [July 11 - 15, 1993, Washington, DC]
Gespeichert in:
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Format: | Tagungsbericht Buch |
Sprache: | Undetermined |
Veröffentlicht: |
Menlo Park u.a.
AAAI Press u.a.
1993
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Schlagworte: | |
Online-Zugang: | Inhaltsverzeichnis |
Beschreibung: | XXII, 869 S. graph. Darst. |
ISBN: | 0262510715 |
Internformat
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111 | 2 | |a National Conference on Artificial Intelligence |n 11 |d 1993 |c Washington, DC |j Verfasser |0 (DE-588)5093545-8 |4 aut | |
245 | 1 | 0 | |a Proceedings of the Eleventh National Conference on Artificial Intelligence |b [July 11 - 15, 1993, Washington, DC] |c American Association for Artificial Intelligence |
264 | 1 | |a Menlo Park u.a. |b AAAI Press u.a. |c 1993 | |
300 | |a XXII, 869 S. |b graph. Darst. | ||
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Datensatz im Suchindex
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adam_text | Contents
Automated Reasoning
/1
On Computing Minimal Models
Rachel Ben-Eliyahu, University of California, Los Angeles and
Rina
Dechter, University of California,
Irvine
/2
On the Adequateness of the Connection Method
Antje Beringerand Steffen Hölldobler, Intellektik, Informatik, TH Darmstadt /9
Rough
Resolution:
A Refinement of
Resolution
to Remove Large Literals
Heng
Chu
and David A. Plaisted, University of North Carolina/
15
Experimental Results on the Crossover Point in Satisfiability Problems
James M. Crawford and Larry D. Anton, AT&T Bell Laboratories
/ 21
Towards an Understanding of Hill-Climbing Procedures for SAT
Ian P. Gent and Toby Walsh, University of Edinburgh
/28
Reasoning with Characteristic Models
Henry A. Kautz, Michael J. Kearns, and Bart
Selmán,
AT&T Bell Laboratories
/ 34
The Breakout Method for Escaping from Local Minima
Paul Morris, IntelliCorp
/40
An Empirical Study of Greedy Local Search for Satisfiability Testing
Bart
Selmán
and Henry A. Kautz, AT&T Bell Laboratories
/ 46
Case-Based Reasoning
/ 53
Projective
Visualization: Acting from Experience
Marc Goodman,
Brandeis
University
/ 54
Representing and Using Procedural Knowledge to Build Geometry Proofs
Thomas F. McDougal and
Kristian
J.
Hammond, University of Chicago
/60
Case-Based Diagnostic Analysis in a Blackboard Architecture
Edwina
L
Rissland,
Jody
J. Daniels, Zachary B.
Rubinstein
and
David
B.
Skalák, University
of
Massachusetts
/ 66
A Framework and an Analysis of Current Proposals for the Case-Based Organization and
Representation of Procedural Knowledge
Roland Zto-Wolf and Richard
Alterman, Brandeis
University
/ 73
Complexity in Machine Learning
/ 79
Cryptographic Limitations on Learning One-Clause Logic Programs
William W. Cohen, AT&T Bell Laboratories
/80
Pac-Learaing a Restricted Class of Recursive Logic Programs
William W. Cohen, AT&T Bell Laboratories
/ 86
Learnability in Inductive Logic Programming: Some Basic Results and Techniques
Michael Frazier and C. David Page, Jr., University of Illinois
/93
Complexity Analysis of
Real-Time
Reinforcement Learning
Sven
Koenig and Reid G. Simmons, Carnegie Mellon University
/ 99
Constraint-Based Reasoning
/107
Arc-Consistency and Arc-Consistency Again
Christian
Bessière,
Universityof
Montpellier
П
and
Marie-Odile
Cordier, University of
Rennes
I
/108
On the Consistency of General Constraint-Satisfaction Problems
Philippe
J
égou. Université de
Provence
/114
Integrating Heuristics for Constraint Satisfaction Problems: A Case Study
Steven Motion, Sterling Software/NASA Ames Research Center
/120
Coping With Disjunctions in Temporal Constraint Satisfaction Problems
Eddie
Schwalb
and
Rina
Dechter, University of California, Irvine
/127
Nondeterministic Lisp as a Substrate for Constraint Logic Programming
Jeffrey Mark Siskind, University of Pennsylvania and David Allen McAllester, MITArtifical Intelligence
Laboratory
/133
Slack-Based Heuristics for Constraint Satisfaction Scheduling
Stephen F. Smith and Cheng-Chung Cheng, Carnegie Mellon University/
139
A Constraint Decomposition Method for
Spatio-Temporal Configuration
Problems
Toshikazu Tanimoto, Digital Equipment Corporation Japan
/145
Extending Deep Structure
Colin P. Williams and Tad Hogg, Xerox Palo Alto Research Center
/152
Diagnostic Reasoning
/159
Multiple Dimensions of Generalization In Model-Based Troubleshooting
Randall Davis and Paul Resnick, Massachusetts Institute of Technology
/160
Hybrid Case-Based Reasoning for the Diagnosis of Complex Devices
M. P. Féretand J
.
I. Glasgow, Queen s University
/168
An Epistemology for Clinically Significant Trends
Ira J. Haimowitz.
МГГ
Laboratory for Computer Science and Isaac
S. Konane,
Harvard Medical School
/
176
A Framework for Model-Based Repair
Ying Sun and Daniel S. Weld, University of Washington
/182
Discourse Analysis
/189
A Method for Development of Dialogue Managers for Natural Language Interfaces
Arne Jönsson, Linköping
University
/190
Mutual Beliefs of Multiple
Conversants: A
Computational Model of Collaboration in Air Traffic
Control
David G. Norvick and Karen Ward, Oregon Graduate Institute of Science
&
Technology
/196
An Optimizing Method for Structuring Inferentially Linked Discourse
Ingrid
Zukerman and Richard McConachy, Monash University
í
202
Distributed Problem Solving
/ 209
A One-shot Dynamic Coordination Algorithm for Distributed Sensor Networks
Keith Decker and Victor Lesser, University of Massachusetts
/210
Quantitative Modeling of Complex Computational Task Environments
Keith Decker and Victor Lesser, University of Massachusetts
/217
Overeager Reciprocal Rationality and Mixed Strategy Equilibria
Edmund H. Durfee and Jaeho Lee, University of Michigan;
Piotr
J. Gmytrasiewicz, Hebrew University/
225
Solving the Really Hard Problems with Cooperative Search
Tad Hogg and Colin P. Williams, Xerox Palo Abo Research Center/231
A Fast First-Cut Protocol for Agent Coordination
Andrew P. Kosoresow, Stanford University
/ 237
Agents Contracting Tasks in Non-Collaborative Environments
Sarit
Kraus,
Bar
lian
University
/ 243
IPUS: An Architecture for Integrated Signal Processing and Signal Interpretation in Complex
Environments
Victor Lesser, Izaskun Gallastegi and Frank
Klassner,
University of Massachusetts;
Hamid
Nawab, Boston
University
/ 249
An Implementation of the Contract Net Protocol Based on Marginal Cost Calculations
Tuomas
Sandholm,
University of Massachusetts
/ 256
Intelligent User Interfaces
/ 263
Generating Explanations of Device Behavior Using Compositional Modeling and Causal
Ordering
Patrice O.
Gautier
and Thomas R.
Gruber,
Stanford University
/ 264
vii
Generating Natural Language Descriptions with Examples: Differences between Introductory and
Advanced Texts
Vibhu O.
Mittal
and
Cécile L
Paris, University of Southern California
/271
Building Models to Support Synthesis in Early Stage Product Design
R. Bharat Rao, Siemens Corporate Research, Inc. and Stephen C-Y.
Lu,
University of Illinois at Urbana-
Champaign/277
A Conversational Model of
Multimodal
Interaction in Information Systems
Adelheit Stein and
Ulrich Thiel,
German National Research Center for Computer Science
/283
Large Scale Knowledge Bases
/ 289
Matching
100,000
Learned Rules
Robert B. Doorenbos, Carnegie Mellon University
/290
Massively Parallel Support for Computationally Effective Recognition Queries
Matthew P.
Evett,
James A. Hendler, and William A. Andersen, University of Maryland
/297
Case-Method: A Methodology for Building Large-Scale Case-Based Systems
Hiroaki Kitano, Hideo Shimazu
andAláhiro
Shibata, NEC Corporation
/303
Automated Index Generation for Constructing Large-Scale Conversational Hypermedia Systems
Richard Osgood and Ray Bareiss, Northwestern University
/309
Machine Learning
/ 315
Probabilistic Prediction of Protein Secondary Structure Using Causal Networks
Arthur
L
Deicher,
Loyola College; Simon Kasif, Harry R. Goldberg and William H. Hsu, Johns Hopkins
University
/316
ОСІ
:
A Randomized Induction of Oblique Decision Trees
Sreerama Murthy, Simon Kasif and Steven
Salzberg,
Johns Hopkins University; Richard Beigel, Yale
University
/ 322
Finding Accurate Frontiers: A Knowledge-Intensive Approach to Relational Learning
Michael Pazzani and Clifford Brunk, University of California, Irvine
/328
Learning Non-Linearly Separable Boolean Functions With Linear Threshold Unit Trees and
Madaline-Style Networks
Mehran
Sahanů,
Stanford University
/ 335
Natural Language Generation
/ 343
Generating Argumentative Judgment Determiners
Michael Elhadad,
Ben Gurion
University of the Negev/344
Bidirectional Chart Generation of Natural Language Texts
Masahiko Haruno and Makoto Nagao, Kyoto University; Yasuharu Den, ATR Interpreting
Telecommunication Research Laboratories; and Yuji Matsumoto, Advanced Institute of Science and
Technology,
Nara
/350
Communicative
Acts for Generating Natural Language Arguments
Mark T. Maybury, The MITRE Corporation/
357
Corpus Analysis for Revision-Based Generation of Complex Sentences
Jacques Robin and Kathleen McKeown, Columbia University
/ 365
Natural Language Sentence Analysis
/ 373
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
Kurt P. Eiselt and
Kavi
Mahesh, Georgia Institute of Technology; Jennifer
K. Holbrook, Albion College/
380
Efficient Heuristic Natural Language Parsing
Christian R. Huyck and Steven
L Lytinen,
University of Michigan
/386
Towards a Reading Coach that Listens: Automated Detection of Oral Reading Errors
Jack
Mostów,
Alexander G.
Hauptmann,
Lin Lawrence Chase and Steven Roth, Carnegie Mellon
University
/ 392
Nonmonotonic Logic
/ 399
Minimal Belief and Negation as Failure: A Feasible Approach
Antje
Beringer
and
Torsten
Schaub,
ΊΉ
Darmstadt
/ 400
A Context-based Framework for Default Logics
Philippe
Besnord,
IRISA
and
Torsten
Schaub,
TH
Darmstadt
/406
Propositional Logic of Context
Sasa
Buvac and Ian A. Mason, Stanford University
/412
Generating Explicit
Orderings
for Non-monotonic Logics
James Cussens, King s College; Anthony Hunter, Imperial College; andAshwin Srinivasan, Oxford
University
/420
Reasoning Precisely with Vague Concepts
Nita
Gayal
and Yoav Shoham, Stanford University
/ 426
Restricted
Monotonicity
Vladimir Lifschitz. University of Texas at Austin
/ 432
Subnormal Modal Logics for Knowledge Representation
Grigori
Schwarz.
Stanford University and
Mirosław Truszczyński,
University of Kentucky
/ 438
Algebraic Sematics for Cumulative Inference Operations
Zbigniew
Stachniak, University of Toronto
/444
Novel Methods in Knowledge Acquisition
/ 451
Question-based Acquisition of Conceptual Indices for Multimedia Design Documentation
Catherine
Boudin,
ВЕСОМ
Technologies/NASA Ames Research Center;
Smädar Kodar,
Sterling
Software/Northwestern University/NASA Ames Research Center;
Jody
Gevins Underwood, Sterling
Software IncJNASA Ames Research Center; and Vinod
Baya,
Stanford University
/452
Learning Interface Agents
Pattié
Maes and Robyn Koaerok, MIT Media Laboratory
/459
Learning from an Approximate Theory and Noisy Examples
Somkiat Tangkitvanich and Masamichi Shimura, Tokyo Institute of Technology
/ 465
Scientific Model-Building as Search in Matrix Spaces
Raúl
E. Valdés-Pérez
and Herbert A. Simon, Carnegie Mellon University; Jan M.
Żytkow,
Wichita State
University
/472
Plan Generation
/ 479
An Average Case Analysis of Planning
Tom Bylander, The Ohio State University
/480
Granularity in Multi-Method Planning
Soowon Lee and Paul S. Rosenbloom, University of Southern California
/486
Threat-Removal Strategies for Partial-Order Planning
Mark A. Peot, Stanford University and David
К
Smith, Rockwell International
/492
Postponing Threats in Partial-Order Planning
David E. Smith, Rockwell International and Mark A. Peot, Stanford University
/ 500
Plan Learning
/ 507
Permissive Planning: A Machine Learning Approach to Linking Internal and External Worlds
Gerald DeJong, University of Illinois at Urbana-Champaign and Scott Bennett, Systems Research and
Applications Corporation/
508
Relative Utility of EBG based Plan Reuse in Partial Ordering vs. Total Ordering Planning
Subbarao Kambhampati and Jengchin Chen, Arizona State University
/514
Learning Plan Transformations from Self-Questions: A Memory-Based Approach
R. Oehlmann, D. Sleeman, andP. Edwards, King s College/520
On the Masking Effect
Milind
Tambe,
Carnegie Mellon University and Paul S. Rosenbloom, University of Southern
California/Information Sciences Institute
/526
Qualitative Reasoning
/ 535
Qualitatively Describing Objects Using Spatial Prepositions
Alicia
Abella
and John R.
Kender,
Columbia
University
/536
Numeric
Reasoning with Relative Orders of Magnitude
Philippe
Dague, Université
Paris
Nord/
541
Efficient Reasoning in Qualitative Probabilistic Networks
Marek J.
Druzdzel, Carnegie Mellon University and Max Henrion, Rockwell International Science Center/
548
Generating Quasi-symbolic Representation of Three-Dimensional Flow
Toyoaki Nishida, Advanced Institute of Science and Technology,
Nara
/554
Real-Time Planning and Simulation
/ 561
Real-Time
Self-Explanatory Simulation
Franz G.
Amador,
Adam Finkelstein and Daniel S. Weld, University of Washington
/562
A Comparison of Action-Based Hierarchies and Decision Trees for
Real-Time
Performance
David Ash and Barbara Hayes-Roth, Stanford University
/ 568
Planning With Deadlines in Stochastic Domains
Thomas Dean, Leslie Pack Kaelbling,
Jak
Kirman and Ann Nicholson, Brown University
/ 574
Task Interdependencies in Design-to-time Real-time Scheduling
Alan Garvey, Marty Humphrey, and Victor Lesser, University of Massachusetts
/ 580
Reasoning about Physical Systems
/ 587
Sensible Scenes: Visual Understanding of Complex Structures through Causal Analysis
Matthew Brand, Lawrence
Birnbaum
and Paul Cooper, Northwestern University
/ 588
Intelligent Model Selection for Hillclimbing Search in Computer-Aided Design
Thomas Ellman, John
Keane,
and Mark Schwabacher, Rutgers University
/ 594
Ideal Physical Systems
Brian Falkenhainer, Xerox Corporate Research
&
Technology
/600
Numerical Behavior Envelopes for Qualitative Models
Herbert Kay and Benjamin
Kuipers,
University of Texas at Austin
/ 606
A Qualitative Method to Construct Phase Portraits
Wood W. Lee, Schlumberger Dowell and Benjamin J.
Kuipers,
University of Texas
/ 614
Understanding Linkages
Howard E. Shrobe, Massachusetts Institute of Technology
/620
CFRL: A Language for Specifying the Causal Functionality of Engineered Devices
Marcos
Vescovi,
Yumi Iwasaki and Richard Fikes, Stanford University; B. Chandrasekaran, The Ohio State
University
/626
Model Simplification by Asymptotic Order of Magnitude Reasoning
Kenneth
Man kam
Yip, Yale University
/ 634
Representation and Reasoning
/ 641
Abduction As Belief Revision: A Model of Preferred Explanations
Craig Boutilier and Veronica
Becher,
University of British Columbia
/642
Revision by Conditional Beliefs
Craig Boutilier, University of British Columbia and
Moisés
Goldsztnidt, Rockwell International
/ 649
Reasoning about Only Knowing with Many Agents
Joseph Y.
Holpern, IBM
Almadén
Research Center
/655
All They Know About
Gerhard Lakemeyer, University of Bonn
/ 662
Representation for Actions and Motion
/ 669
Towards Knowledge-Level Analysis of Motion Planning
Ronen
I. Brafman, Jean-Claude Latombe and Yoav Shoham, Stanford University
/ 670
EL: A Formal, Yet Natural, Comprehensive Knowledge Representation
Chung
Нее
Hwang and
Lenhart K.
Schubert, University of Rochester
/676
The Semantics of Event Prevention
Charles L· Ortiz. Jr., University of Pennsylvania
/683
The Frame Problem and Knowledge-Producing Actions
Richard B. Scherl and Hector J.Levesque, University of Toronto
/ 689
Rule-Based Reasoning
/ 697
The Paradoxical Success of Fuzzy Logic
Charles
Elkan,
University of California, San Diego
/698
Exploring the Structure of Rule Based Systems
Clifford Grossner,
Alun
D.
Preece, P. Gokul Chander, T. Radhakrishnan, Ching Y. Suen,
Concordia
University
/704
Supporting and Optimizing Full Unification in a Forward Chaining Rule System
Howard
К
Shrobe, Massachusetts Institute of Technology
/710
Comprehensibility Improvement of Tabular Knowledge Bases
Atsushi
Sugami
and Yoshiyuki Koseki, NEC Corporation; Maximilian Riesenhuber,
Johann
Wolfgang
Goethe-University
/ 716
Search
/723
Time-Saving Tips for Problem Solving with Incomplete Information
Michael R. Genesereth and lllah
R
Nourbakhsh, Stanford University
/ 724
Decomposition of Domains Based on the Micro-Structure of Finite Constraint-Satisfaction
Problems
Philippe Jégou, Université de
Provence
/ 731
Innovative Design
as Systematic Search
Dorothy Neville and Daniel
S.
Weld, University of Washington
/737
Generating Effective Admissible Heuristics by Abstraction and
Reconstitution
Armand
Prieditis,
University
of California, Davis and
Bhaskar
Janakiranum, Silicon Graphics Inc.
/ 743
Iterative Weakening: Optimal and Near-Optimal Policies for the Selection of Search Bias
Foster John Provost, University of Pittsburgh
/ 749
Pruning Duplicate Nodes in Depth-First Search
Larry A. Taylor and Richard
К
Korf,
University of California, Los Angeles
/756
Conjunctive Width Heuristics for Maximal Constraint Satisfaction
Richard J. Wallace and Eugene
С
Freuder,
University of New Hampshire
/762
Depth-First vs. Best-First Search: New Results
Weixiong Zhang and Richard
E Korf,
University of California, Los Angeles
/ 769
Statistically-Based Natural Language Processing
/ 777
Using an Annotated Language Corpus as a Virtual Stochastic Grammar
Rens
Bod, University of Amsterdam
/ 778
Equations for Part-of-Speech Tagging
Eugene Charniak, Curtis
Hendrickson,
Neil
Jacobson
and Mike Perkowitz, Brown University
/784
Estimating Probability Distributions over Hypotheses with Variable Unification
Dekai Wu, Hong Kong University of Science and Technology
/ 790
Trainatile
Natural Language Systems
/ 797
A Case-Based Approach to Knowledge Acquisition for Domain-Specific Sentence Analysis
Claire Cardie, University of Massachusetts
/798
КГГЅЅ:
A Knowledge-Based Translation System for Test Scenarios
Van
К
Kelty
and Mark A Jones, AT&T Bell Laboratories
/ 804
Automatically Constructing a Dictionary for
Information
Extraction Tasks
Ellen Riloff, University of Massachusetts
/811
Learning Semantic Grammars with Constructive Inductive Logic Programming
John M.
Zelle
and Raymond J. Mooney, University of Texas/
817
Vision Processing
/ 823
Polly: A Vision-Based Artificial Agent
Ian HorswilL
МГГ
AI
Laboratory
/ 824
Range Estimation From Focus Using a Non-frontal Imaging Camera
Arun Krishnan and
Narendra Ahuja,
University of Illinois
/ 830
|
any_adam_object | 1 |
author_corporate | National Conference on Artificial Intelligence Washington, DC |
author_corporate_role | aut |
author_facet | National Conference on Artificial Intelligence Washington, DC |
author_sort | National Conference on Artificial Intelligence Washington, DC |
building | Verbundindex |
bvnumber | BV008671682 |
classification_rvk | SS 1993 |
classification_tum | DAT 700f |
ctrlnum | (OCoLC)644932527 (DE-599)BVBBV008671682 |
discipline | Informatik |
format | Conference Proceeding Book |
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genre_facet | Konferenzschrift 1993 Washington DC |
id | DE-604.BV008671682 |
illustrated | Illustrated |
indexdate | 2024-07-09T17:22:50Z |
institution | BVB |
institution_GND | (DE-588)5093545-8 (DE-588)212991-7 |
isbn | 0262510715 |
language | Undetermined |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-005709903 |
oclc_num | 644932527 |
open_access_boolean | |
owner | DE-20 DE-12 DE-739 DE-91G DE-BY-TUM DE-19 DE-BY-UBM DE-83 |
owner_facet | DE-20 DE-12 DE-739 DE-91G DE-BY-TUM DE-19 DE-BY-UBM DE-83 |
physical | XXII, 869 S. graph. Darst. |
publishDate | 1993 |
publishDateSearch | 1993 |
publishDateSort | 1993 |
publisher | AAAI Press u.a. |
record_format | marc |
spelling | National Conference on Artificial Intelligence 11 1993 Washington, DC Verfasser (DE-588)5093545-8 aut Proceedings of the Eleventh National Conference on Artificial Intelligence [July 11 - 15, 1993, Washington, DC] American Association for Artificial Intelligence Menlo Park u.a. AAAI Press u.a. 1993 XXII, 869 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf (DE-588)1071861417 Konferenzschrift 1993 Washington DC gnd-content Künstliche Intelligenz (DE-588)4033447-8 s DE-604 American Association for Artificial Intelligence Sonstige (DE-588)212991-7 oth Digitalisierung TU Muenchen application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=005709903&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
spellingShingle | Proceedings of the Eleventh National Conference on Artificial Intelligence [July 11 - 15, 1993, Washington, DC] Künstliche Intelligenz (DE-588)4033447-8 gnd |
subject_GND | (DE-588)4033447-8 (DE-588)1071861417 |
title | Proceedings of the Eleventh National Conference on Artificial Intelligence [July 11 - 15, 1993, Washington, DC] |
title_auth | Proceedings of the Eleventh National Conference on Artificial Intelligence [July 11 - 15, 1993, Washington, DC] |
title_exact_search | Proceedings of the Eleventh National Conference on Artificial Intelligence [July 11 - 15, 1993, Washington, DC] |
title_full | Proceedings of the Eleventh National Conference on Artificial Intelligence [July 11 - 15, 1993, Washington, DC] American Association for Artificial Intelligence |
title_fullStr | Proceedings of the Eleventh National Conference on Artificial Intelligence [July 11 - 15, 1993, Washington, DC] American Association for Artificial Intelligence |
title_full_unstemmed | Proceedings of the Eleventh National Conference on Artificial Intelligence [July 11 - 15, 1993, Washington, DC] American Association for Artificial Intelligence |
title_short | Proceedings of the Eleventh National Conference on Artificial Intelligence |
title_sort | proceedings of the eleventh national conference on artificial intelligence july 11 15 1993 washington dc |
title_sub | [July 11 - 15, 1993, Washington, DC] |
topic | Künstliche Intelligenz (DE-588)4033447-8 gnd |
topic_facet | Künstliche Intelligenz Konferenzschrift 1993 Washington DC |
url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=005709903&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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