Fuzzy Logic in Artificial Intelligence [electronic resource] : IJCAI '93 Workshop Chamberry, France, August 28, 1993 Proceedings / edited by Anca L. Ralescu.Material type: TextLanguage: English Series: Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence: 847Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 1994Description: VIII, 136 p. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783540487807Subject(s): Computer science | Computer hardware | Artificial intelligence | Optical pattern recognition | Computer aided design | Computer Science | Artificial Intelligence (incl. Robotics) | Pattern Recognition | Computer-Aided Engineering (CAD, CAE) and Design | Computer HardwareAdditional physical formats: Printed edition:: No titleDDC classification: 006.3 LOC classification: Q334-342TJ210.2-211.495Online resources: Click here to access online
Fuzzy reinforcement Learning and dynamic programming -- Fuzzy sets, fuzzy clustering and fuzzy rules in AI -- Robust execution of robot plans using fuzzy logic -- Fuzzy logic, inductive and analogical reasoning -- Possibility theory, belief revision and nonmonotonic logic -- Querying a database with fuzzy attribute values by iterative updating of the selection criteria -- Learning fuzzy membership functions in a function-based object recognition system -- A factor space approach to concept representation -- Connectionist fuzzy production systems.
This volume constitutes the proceedings of the Second Fuzzy Logic in AI Workshop, held in conjunction with IJCAI '93 in Chambéry, France in August 1993. The book contains full revised versions of the papers presented at the workshop and covers several aspects of fuzzy logic in contributions from renowned researchers. This volume reflects the aim of the workshop, namely to serve as a platform for fruitful contacts between fuzzy engineering researchers interested in AI and AI researchers interested in fuzzy logic applications in engineering: when it comes to designing intelligent systems they are confronted with the same problems and questions and hope for the same successful results.