Knowledge-Driven Computing : Knowledge Engineering and Intelligent Computations
Publication year: 2008
ISBN: 978-3-540-77475-4
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Knowledge-Driven Computing constitutes an emerging area of intensive research located at the intersection of Computational Intelligence and Knowledge Engineering with strong mathematical foundations. It embraces methods and approaches coming from diverse computational paradigms, such as evolutionary computation and nature-inspired algorithms, logic programming and constraint programming, rule-based systems, fuzzy sets and many others. The use of various knowledge representation formalisms and knowledge processing and computing paradigms is oriented towards the efficient resolution of computationally complex and difficult problems.
Subject: Engineering, algorithm, algorithms, computational intelligence, description logics, evolution, fuzzy, genetic algorithms, intelligence, knowledge engineering, knowledge representation, multi-objective optimization, ontology, optimization, programming, simulation, Mathematical and Computational Engineering, Artificial Intelligence, Applications of Mathematics
