IPMU'92 - Advanced Methods in Artificial Intelligence
Springer Berlin (Verlag)
978-3-540-56735-6 (ISBN)
Possibilistic 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.
| Erscheint lt. Verlag | 29.6.1993 |
|---|---|
| Reihe/Serie | Lecture Notes in Computer Science |
| Zusatzinfo | XI, 377 p. |
| Verlagsort | Berlin |
| Sprache | englisch |
| Maße | 155 x 233 mm |
| Gewicht | 508 g |
| Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Mathematik / Informatik ► Informatik ► Web / Internet | |
| Schlagworte | Artificial Intelligence • Artificial Neural Network • Automatisches Beweisverfahren • Expert System • Hardcover, Softcover / Informatik, EDV/Informatik • HC/Informatik, EDV/Informatik • Intelligence • Knowledge • Knowledge Acquisition • Knowledge-Based System • Knowledge-based systems • Künstliche Intelligenz • neural network • Neural networks • Neuronale Netzwerke • Neuronales Netz • Nichtmonotones Schließen • Non-monotonic Reasoning • Nonmonotonic Reasoning • Uncertainty • Unsicherheit • Wissensakquisition • Wissensbasiertes System • Wissensbasierte Systeme |
| ISBN-10 | 3-540-56735-6 / 3540567356 |
| ISBN-13 | 978-3-540-56735-6 / 9783540567356 |
| Zustand | Neuware |
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