Interactive Granular Computations in Networks and Systems Engineering: A Practical Perspective - Andrzej Jankowski
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Présentation Interactive Granular Computations In Networks And Systems Engineering: A Practical Perspective de Andrzej Jankowski ...
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Résumé : Biographie: Sommaire:
The book outlines selected projects conducted under the supervision of the author. Moreover, it discusses signi?cant relations between Interactive Granular Computing (IGrC) and numerous dynamically developing scienti?c domains worldwide, along with features characteristic of the author's approach to IGrC. The results presented are a continuation and elaboration of various aspects of Wisdom Technology, initiated and developed in cooperation with Professor Andrzej Skowron. Based on the empirical findings from these projects, the author explores the following areas:
Andrzej Jankowski received his PhD from Warsaw University where he worked about 20 years being involved in pioneering research on the logical structures (especially algebraic approach to knowledge representation and reasoning structures based on topos theory and evolution of hierarchies of metalogics). For three years he worked as a visiting professor in the Department of Computer Science at the University of North Carolina at Charlotte, USA. He is one of the founders and organizers of Polish-Japanese Institute of Information Technology. He has the unique experience in managing complex IT and R&D projects (e.g., Bank of America, Ford, GM, PKN ORLEN, and Ministry of Finance in Poland). Andrzej Jankowski has about 70 scientific publications and he is coauthor of two patents in Artificial Intelligence, which are cited in patents of such corporations as: IBM, Google, Microsoft, Yahoo!, Hewlett-Packard, Oracle, Matsushita Electric, NEC, Fuji, Xerox, Canon, Boeing, Sony, Accenture, and Red Hut. In cooperation with professor Andrzej Skowron, he proposed a new paradigm in AI technology, known as the Wisdom Technology (WisTech)....
(b) generalizing computing models of complex adaptive systems (CAS) (in particular, natural computing models) by constructing an interactive granular computing (IGrC) model of networks of interrelated interacting complex granules (c-granules), belonging to a single agent and/or to a groupof agents...
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