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020 _a9783540476436
_9978-3-540-47643-6
024 7 _a10.1007/3-540-56735-6
_2doi
050 4 _aQ334-342
050 4 _aTJ210.2-211.495
072 7 _aUYQ
_2bicssc
072 7 _aTJFM1
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072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
245 1 0 _aIPMU '92—Advanced Methods in Artificial Intelligence
_h[electronic resource] :
_b4th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems Palma de Mallorca, Spain, July 6–10, 1992 Proceedings /
_cedited by Bernadette Bouchon-Meunier, Llorenç Valverde, Ronald R. Yager.
260 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c1993.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c1993.
300 _aXI, 377 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v682
505 0 _aPossibilistic abduction -- Management of preferences in assumption-based reasoning -- Default exclusion in a KL-ONE-like terminological component -- Unifying various approaches to default logic -- Using maximum entropy in a defeasible logic with probabilistic semantics -- Legality in inheritance networks -- A note on information systems associated to termal algebras -- A backward chaining resolution process involving non-monotonic operators -- On fuzzy conditionals generalising the material conditional -- Integrating resolution—like procedures with Lukasiewicz implication -- The development of a “Logic of Argumentation” -- From “and” to “or” -- Representing spatial and temporal uncertainty -- An analysis of the temporal relations of intervals in relativistic space-time -- Accumulation and inference over finite-generated algebras for mapping approximations -- Similarity measures for case-based reasoning systems -- Statistical methods in learning -- Learning from erroneous examples using fuzzy logic and “textbook” knowledge -- Incremental learning of roughly represented concepts -- Self-organizing qualitative multimodel control -- MoHA, an hybrid learning model -- A new perspective in the inductive acquisition of knowledge from examples -- Knowledge representation through object in the development of expert system chemical synthesis and reaction -- Hierarchical representation of fuzzy if-then rules -- Approximate reasoning in expert systems: Inference and combination tools -- Modes of interval-based plausible reasoning viewed via the checklist paradigm -- Rule-based systems with unreliable conditions -- Fuzzy semantics in expert process control -- Qualitative operators and process engineer semantics of uncertainty -- Facing uncertainty in the management of large irrigation systems: Qualitative approach -- Semantic ambiguity in expert systems: The case of deterministic systems -- A deduction rule for the approximated knowledge of a mapping -- On knowledge base redundancy under uncertain reasoning -- A fuzzy logic approach for sensor validation in real time expert systems -- Application of Neuro-Fuzzy Networks to the identification and control of nonlinear dynamical systems -- Comparison between artificial neural networks and classical statistical methods in pattern recognition -- Learning methods for odor recognition modeling.
520 _aThe 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.
650 0 _aComputer science.
650 0 _aInformation systems.
650 0 _aArtificial intelligence.
650 1 4 _aComputer Science.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aModels and Principles.
650 2 4 _aInformation Systems Applications (incl.Internet).
700 1 _aBouchon-Meunier, Bernadette.
_eeditor.
700 1 _aValverde, Llorenç.
_eeditor.
700 1 _aYager, Ronald R.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783540567356
786 _dSpringer
830 0 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v682
856 4 0 _uhttp://dx.doi.org/10.1007/3-540-56735-6
942 _2EBK6141
_cEBK
999 _c35435
_d35435