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Computational Intelligence, Volume 11
Volume 11, 1995
- Eric Neufeld:
Simpson's Paradox in Artificial Intelligence and in Real Life. 1-10 - Laura Giordano, Alberto Martelli:
A Logical Characterization for Truth Maintenance Systems with Dependency-Directed Backtracking. 11-46 - James P. Delgrande:
A Framework for Logics of Explicit Belief. 47-88 - José Alberto Fernández, Jack Minker, Adnan H. Yahya:
Computing Perfect and Stable Model Using Ordered Model Trees. 89-112 - Paul J. Krause, Simon Ambler, Morten Elvang-Gøransson, John Fox:
A Logic of Argumentation for Reasoning under Uncertainty. 113-131 - Sarit Kraus, Daniel Lehmann:
Designing and Building a Negotiating Automated Agent. 132-171 - Timothy K. Shih, Nam Ling, Ruth E. Davis, Fuyau Lin:
On the Construction of a Prolog-Based Verifier for Systolic Array Designs. 172-221 - Wojciech Ziarko:
Introduction to the Special Issue on Rough Sets and Knowledge Discovery. 223-226 - Theresa Beaubouef, Frederick E. Petry, Bill P. Buckles:
Extension of the Relational Database and its Algebra with Rough Set Techniques. 233-245 - Robert Godin, Rokia Missaoui, Hassan Alaoui:
Incremental Concept Formation Algorithms Based on Galois (Concept) Lattices. 246-267 - Dobroslawa M. Grzymala-Busse, Jerzy W. Grzymala-Busse:
The Usefulness of a Machine Learning Approach to Knowledge Acquisition. 268-279 - Zdzislaw Pawlak:
Vagueness and Uncertainty: A Rough Set Perspective. 277-232 - Howard J. Hamilton, David R. Fudger:
Estimating DBLEARN's Potential for Knowledge Discovery in Databases. 280-296 - Michel Herment, Ewa Orlowska:
Handling Information Logics in a Graphical Proof Editor. 297-322 - Xiaohua Hu, Nick Cercone:
Learning in Relational Databases: A Rough Set Approach. 323-338 - Jacek Jelonek, Krzysztof Krawiec, Roman Slowinski:
Rough Set Reduction of Attributes and their Domains for Neural Networks. 339-347 - Leszek Plonka, Adam Mrózek:
Rule-Based Stabilization of the Inverted Pendulum. 348-356 - Ning Shan, Wojciech Ziarko:
Data-Based Acqusition and Incremental Modification of Classification Rules. 357-370 - Andrzej Skowron:
Extracting Laws from Decision Tables: A Rough Set Approach. 371-388 - Shusaku Tsumoto, Hiroshi Tanaka:
PRIMEROSE: Probabilistic Rule Induction Method based on Rough Sets and Resampling Methods. 389-405 - S. K. Michael Wong, Lusheng Wang, Yiyu Yao:
On Modeling Uncertainty with Interval Structures. 406-426 - Yang Xiang, S. K. Michael Wong, Nick Cercone:
Quantification of Unvertainty in Classification Rules Discovered from Databases. 427-441 - Alfonso Gerevini, Lenhart K. Schubert:
On Computing the Minimal Labels in Time Point Algebra Networks. 443-448 - Paul Snow:
An Intuitive Motivation of Bayesian Belief Models. 449-459 - Andrew R. Haas:
An Epistemic Logic with Quantification over Names. 460-497 - Runping Qi, David L. Poole:
A New Method for Influence Diagram Evaluation. 498-528 - Paolo Terenziani, Pietro Torasso:
Time, Action-Types, Causation: An Integrated Analysis. 529-552 - Robin Hirsch:
Intractability in the Allen and Koomen Planner. 553-564 - Sunil Cherian, Wade Troxell:
Intelligent Behavior in Machines Emerging from a Collection of Interactive Control Structures. 565-592 - Andrew R. Haas:
Planning to Find the Referents of Noun Phrases. 593-624 - Christer Bäckström, Bernhard Nebel:
Complexity Results for SAS+ Planning. 625-656
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