3. ISMIS 1988:
Turin,
Italy
Zbigniew W. Ras,
Lorenza Saitta (Eds.):
Methodologies for Intelligent Systems,
3,
Proceedings of the Third International Symposium on Methodologies for Intelligent Systems,
Turin,
Italy,
October 12-15,
1988. North-Holland/Elsevier,
1988,
ISBN 0-444-01461-6
Approximate Reasoning
Expert Systems
Intelligent Databases
Knowledge Representation
- Daniela D'Aloisi, O. Stock, A. Tuozzi:
An Implementation of the Propositional Part of Krapfen, a Hybrid Knowledge Representation System.
200-209
- Mira Balaban, Stefan Strack:
LOGSTER - A Relational, Object-Oriented System for Knowledge Representation.
210-219
- Christer Bäckström:
A Representation of Coordinated Actions Characterized by Interval Valued Conditions.
220-229
- Luca Console, Anna Furno, Pietro Torasso:
Dealing with Time in Diagnostic Reasoning Based on Causal Models.
230-239
- Nicola Guarino:
Attributed and Extensional Equivalence in DRL.
240-249
- Aarno Lehtola, Timo Honkela, Heikki Hyötyniemi, Harri Jäppinen:
Task Oriented Knowledge Representation Languages for NLP-Systems.
250-259
- Bernhard Nebel, Kai von Luck:
Hybrid Reasoning in BACK.
260-269
Learning and Adaptive Systems
- Francesco Bergadano, Stan Matwin, Ryszard S. Michalski, Jianping Zhang:
Representing and Acquiring Imprecise and Context-dependent Concepts in Knowledge-Based Systems.
270-280
- Carlo Berzuini:
Partially Supervised Learning from Examples with the Aid of Statistical Regression Analysis.
281-292
- Marco Botta:
Constructive Learning in Conjunctive Concept Characterization.
293-302
- Silvia Bruno:
ORION: A Knowledge Based Clustering System.
303-312
- Roberto Gemello, Franco Mana, G. Viano:
Inducing Conceptual Discrimination Rules from Examples: An Application to Image Recognition.
313-321
- Mirsad Hadzikadic, David Y. Y. Yun:
Concept Formation by Goal-Driven, Context-Dependent Classification.
322-332
- J. P. E. Hodgson:
Solving Problems by Subproblem Classification.
333-342
- Andrzej Jankowski, Jan M. Zytkow:
A Methdology for Multisearch Systems.
343-352
- Marek Karpinski, Zbigniew W. Ras:
Learning Machine for Probabilistically Describable Concepts.
353-362
- Stan Matwin, Franz Oppacher:
Learning by Watching: An Incremental Machine Learning Method that Acquires Rules by Conceptual Clustering.
363-373
- Gee-gwo Mei, Wentai Liu, Su-Shing Chen:
A Hierarchical Sigma-Pi Neural Architecture for Learning Search Algorithms.
374-379
Logic for Artificial Intelligence
Copyright © Mon Nov 2 20:53:07 2009
by Michael Ley (ley@uni-trier.de)
