The papers in this volume are extended versions of presentations at the fourth International Conference on Information Processing and Management of Uncertainty in Knowledge-based Systems (IPMU), held in Palma de Mallorca, July 6-10, 1992. The conference focused on issues related to the acquisition, representation, management, and transmission of information in knowledge-based and decision-making systems. The book is focused on methodologies related to artificial intelligence, including both theoretical and applied papers. The first section of the book is devoted to non-monotonic reasoning and the managementof default knowledge. The second section deals with methods using non-classical logics to deal with imperfect knowledge and to represent its spatial and temporal components. The third section presents various methods for the acquisition of uncertain and imprecise knowledge. The fourthsection is concerned with the use of qualitative, uncertain, temporal, and ambiguous pieces of information in knowledge-based systems, expert systems, and process controllers. The last section contains papers using artificial neural network methodologies.
Author(s): Didier Dubois, Henri Prade (auth.), Bernadette Bouchon-Meunier, Llorenç Valverde, Ronald R. Yager (eds.)
Series: Lecture Notes in Computer Science 682
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 1993
Language: English
Pages: 377
Tags: Artificial Intelligence (incl. Robotics); Models and Principles; Information Systems Applications (incl.Internet)
Possibilistic abduction....Pages 1-12
Management of preferences in assumption-based reasoning....Pages 13-22
Default exclusion in a KL-ONE-like terminological component....Pages 23-32
Unifying various approaches to default logic....Pages 33-42
Using maximum entropy in a defeasible logic with probabilistic semantics....Pages 43-52
Legality in inheritance networks....Pages 53-62
A note on information systems associated to termal algebras....Pages 63-72
A backward chaining resolution process involving non-monotonic operators....Pages 73-82
On fuzzy conditionals generalising the material conditional....Pages 83-100
Integrating resolution—like procedures with Lukasiewicz implication....Pages 101-108
The development of a “Logic of Argumentation”....Pages 109-118
From “and” to “or”....Pages 119-128
Representing spatial and temporal uncertainty....Pages 129-138
An analysis of the temporal relations of intervals in relativistic space-time....Pages 139-148
Accumulation and inference over finite-generated algebras for mapping approximations....Pages 149-157
Similarity measures for case-based reasoning systems....Pages 159-172
Statistical methods in learning....Pages 173-182
Learning from erroneous examples using fuzzy logic and “textbook” knowledge....Pages 183-191
Incremental learning of roughly represented concepts....Pages 192-198
Self-organizing qualitative multimodel control....Pages 199-208
MoHA, an hybrid learning model....Pages 209-218
A new perspective in the inductive acquisition of knowledge from examples....Pages 219-228
Knowledge representation through object in the development of expert system chemical synthesis and reaction....Pages 229-236
Hierarchical representation of fuzzy if-then rules....Pages 237-247
Approximate reasoning in expert systems: Inference and combination tools....Pages 248-255
Modes of interval-based plausible reasoning viewed via the checklist paradigm....Pages 256-264
Rule-based systems with unreliable conditions....Pages 265-274
Fuzzy semantics in expert process control....Pages 275-283
Qualitative operators and process engineer semantics of uncertainty....Pages 284-293
Facing uncertainty in the management of large irrigation systems: Qualitative approach....Pages 294-303
Semantic ambiguity in expert systems: The case of deterministic systems....Pages 304-313
A deduction rule for the approximated knowledge of a mapping....Pages 314-320
On knowledge base redundancy under uncertain reasoning....Pages 321-329
A fuzzy logic approach for sensor validation in real time expert systems....Pages 330-337
Application of Neuro-Fuzzy Networks to the identification and control of nonlinear dynamical systems....Pages 339-350
Comparison between artificial neural networks and classical statistical methods in pattern recognition....Pages 351-360
Learning methods for odor recognition modeling....Pages 361-367
