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 Krause, Simon Ambler, Morten Elvang-Gøransson, John Fox: A Logic of Argumentation for Reasoning under Uncertainty. 113-131
- 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
- Jacek Jelonek, Krzysztof Krawiec, Roman Slowinski: Rough Set Reduction of Attributes and their Domains for Neural Networks. 339-347
- 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
- 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
data released under the ODC-BY 1.0 license. See also our legal information page
last updated on 2013-06-18T211851 by the dblp team