Advanced Topics in Artificial Intelligence - Lecture Notes in Computer Science
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Published By Springer Berlin Heidelberg

9783540668220, 9783540466956

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Finding Outpoints in Noisy Binary Sequences — A Revised Empirical Evaluation

Advanced Topics in Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/3-540-46695-9_34 ◽

1999 ◽

pp. 405-416 ◽

Cited By ~ 4

Author(s):

Murlikrishna Viswanathan ◽

Chris S. Wallace ◽

David L. Dowe ◽

Kevin B. Korb

Keyword(s):

Empirical Evaluation ◽

Binary Sequences

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Maximising Expected Utility for Behaviour Arbitration

Advanced Topics in Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/3-540-46695-9_9 ◽

1999 ◽

pp. 96-108

Author(s):

Julio K. Rosenblatt

Keyword(s):

Expected Utility

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Information-Based Cooperation in Multiple Agent Systems

Advanced Topics in Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/3-540-46695-9_54 ◽

1999 ◽

pp. 496-498 ◽

Cited By ~ 2

Author(s):

Yuefeng Li ◽

Chengqi Zhang

Keyword(s):

Agent Systems ◽

Multiple Agent

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A Trajectory Approach to Causality

Advanced Topics in Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/3-540-46695-9_48 ◽

1999 ◽

pp. 484-485

Author(s):

Victor Jauregui ◽

Maurice Pagnucco ◽

Norman Foo

Keyword(s):

Trajectory Approach

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Evolving Modular Neural Networks Using Rule-Based Genetic Programming

Advanced Topics in Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/3-540-46695-9_47 ◽

1999 ◽

pp. 482-483

Author(s):

Bret Talko ◽

Linda Stern ◽

Les Kitchen

Keyword(s):

Neural Networks ◽

Genetic Programming ◽

Rule Based ◽

Modular Neural Networks

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A Constraint Optimization Framework for MultiAgent Anytime Scheduling

Advanced Topics in Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/3-540-46695-9_46 ◽

1999 ◽

pp. 480-481 ◽

Cited By ~ 1

Author(s):

Bill Havens ◽

Randy Goebel ◽

Jean Berger ◽

René Proulx

Keyword(s):

Constraint Optimization ◽

Optimization Framework

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Learning Logic Programs with Local Variables from Positive Examples

Advanced Topics in Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/3-540-46695-9_41 ◽

1999 ◽

pp. 469-471 ◽

Cited By ~ 1

Author(s):

M. R. K. Krishna Rao ◽

Abdul Sattar

Keyword(s):

Logic Programs ◽

Learning Logic

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A Procedural Approach for Rule Based Update

Advanced Topics in Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/3-540-46695-9_40 ◽

1999 ◽

pp. 467-468 ◽

Cited By ~ 3

Author(s):

Sai Kiran Lakkaraju ◽

Yan Zhang

Keyword(s):

Rule Based ◽

Procedural Approach

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Abduction without Minimality

Advanced Topics in Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/3-540-46695-9_31 ◽

1999 ◽

pp. 365-377 ◽

Cited By ~ 2

Author(s):

Abhaya C. Nayak ◽

Norman Y. Foo

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INDu: An Interval & Duration Network

Advanced Topics in Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/3-540-46695-9_25 ◽

1999 ◽

pp. 291-303 ◽

Cited By ~ 28

Author(s):

Arun K. Pujari ◽

G. Vijaya Kumari ◽

Abdul Sattar

Keyword(s):

Interval Duration

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Advanced Topics in Artificial Intelligence - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Finding Outpoints in Noisy Binary Sequences — A Revised Empirical Evaluation

Maximising Expected Utility for Behaviour Arbitration

Information-Based Cooperation in Multiple Agent Systems

A Trajectory Approach to Causality

Evolving Modular Neural Networks Using Rule-Based Genetic Programming

A Constraint Optimization Framework for MultiAgent Anytime Scheduling

Learning Logic Programs with Local Variables from Positive Examples

A Procedural Approach for Rule Based Update

Abduction without Minimality

INDu: An Interval & Duration Network

Advanced Topics in Artificial Intelligence - Lecture Notes in Computer Science
Latest Publications