Knowledge Representation By Petri Nets And Other Schemes
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Author |
: Yi-chun Chiang |
Publisher |
: |
Total Pages |
: 108 |
Release |
: 1991 |
ISBN-10 |
: OCLC:25325277 |
ISBN-13 |
: |
Rating |
: 4/5 (77 Downloads) |
Synopsis Knowledge Representation by Petri-nets and Other Schemes by : Yi-chun Chiang
Author |
: Maria Paola Bonacina |
Publisher |
: |
Total Pages |
: 10 |
Release |
: 1987 |
ISBN-10 |
: OCLC:632820019 |
ISBN-13 |
: |
Rating |
: 4/5 (19 Downloads) |
Synopsis Petri nets for knowledge representation by : Maria Paola Bonacina
Author |
: Rafael Ortiz |
Publisher |
: |
Total Pages |
: 214 |
Release |
: 1991 |
ISBN-10 |
: OCLC:25754154 |
ISBN-13 |
: |
Rating |
: 4/5 (54 Downloads) |
Synopsis Knowledge Representation Using Petri Nets and Knowledge Tables by : Rafael Ortiz
Author |
: C. E. B. Frost |
Publisher |
: |
Total Pages |
: |
Release |
: 1991 |
ISBN-10 |
: OCLC:643368253 |
ISBN-13 |
: |
Rating |
: 4/5 (53 Downloads) |
Synopsis Petri Nets for Combined Knowledge Representation and Inferencing by : C. E. B. Frost
Author |
: Ralf Steinmetz |
Publisher |
: |
Total Pages |
: 36 |
Release |
: 1985 |
ISBN-10 |
: OCLC:180543327 |
ISBN-13 |
: |
Rating |
: 4/5 (27 Downloads) |
Synopsis Integration of Petri Nets Into a Tool for Consistency Checking of Expert Systems with Rule-based Knowledge Representation by : Ralf Steinmetz
Author |
: Hua Shi |
Publisher |
: Springer Nature |
Total Pages |
: 476 |
Release |
: 2023-10-23 |
ISBN-10 |
: 9789819951543 |
ISBN-13 |
: 9819951542 |
Rating |
: 4/5 (43 Downloads) |
Synopsis Fuzzy Petri Nets for Knowledge Representation, Acquisition and Reasoning by : Hua Shi
This book provides valuable knowledge, useful fuzzy Petri nets (FPN) models, and practical examples that can be considered by mangers in supporting knowledge management of organizations to increase and sustain their competitive advantages. In this book, the authors proposed various improved FPN models to enhance the modeling power and applicability of FPNs in knowledge representation and reasoning. This book is useful for practitioners and researchers working in the fields of knowledge management, operation management, information science, industrial engineering, and management science. It can also be used as a textbook for postgraduate and senior undergraduate students.
Author |
: Nikolaos G. Bourbakis |
Publisher |
: World Scientific |
Total Pages |
: 560 |
Release |
: 1998 |
ISBN-10 |
: 9810226373 |
ISBN-13 |
: 9789810226374 |
Rating |
: 4/5 (73 Downloads) |
Synopsis Artificial Intelligence and Automation by : Nikolaos G. Bourbakis
Author |
: Robert J. Howlett |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 1447 |
Release |
: 2005-09 |
ISBN-10 |
: 9783540288954 |
ISBN-13 |
: 3540288953 |
Rating |
: 4/5 (54 Downloads) |
Synopsis Knowledge-based Intelligent Information And Engineering Systems by : Robert J. Howlett
The four volume set LNAI 3681, LNAI 3682, LNAI 3683, and LNAI 3684 constitute the refereed proceedings of the 9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005, held in Melbourne, Australia in September 2005. The 716 revised papers presented were carefully reviewed and selected from nearly 1400 submissions. The papers present a wealth of original research results from the field of intelligent information processing in the broadest sense. The second volume contains papers on machine learning, immunity-based systems, medical diagnosis, intelligent hybrid systems and control, emotional intelligence and smart systems, context-aware evolvable systems, intelligent fuzzy systems and control, knowledge representation and its practical application in today's society, approaches and methods into security engineering, communicative intelligence, intelligent watermarking algorithms and applications, intelligent techniques and control, e-learning and ICT, logic based intelligent information systems, intelligent agents and their applications, innovations in intelligent agents, ontologies and the semantic web, knowledge discovery in data streams, computational intelligence tools techniques and algorithms, watermarking applications, multimedia retrieval, soft computing approach to industrial engineering, and experience management and information systems.
Author |
: Guy W. Mineau |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 470 |
Release |
: 1993-07-14 |
ISBN-10 |
: 3540569790 |
ISBN-13 |
: 9783540569794 |
Rating |
: 4/5 (90 Downloads) |
Synopsis Conceptual Graphs for Knowledge Representation by : Guy W. Mineau
Artificial Intelligence and cognitive science are the two fields devoted to the study and development of knowledge-based systems (KBS). Over the past 25years, researchers have proposed several approaches for modeling knowledge in KBS, including several kinds of formalism such as semantic networks, frames, and logics. In the early 1980s, J.F. Sowa introduced the conceptual graph (CG) theory which provides a knowledge representation framework consisting of a form of logic with a graph notationand integrating several features from semantic net and frame representations. Since that time, several research teams over the world have been working on the application and extension of CG theory in various domains ranging from natural language processing to database modeling and machine learning. This volume contains selected papers fromthe international conference on Conceptual Structures held in the city of Quebec, Canada, August 4-7, 1993. The volume opens with invited papers by J.F. Sowa, B.R. Gaines, and J. Barwise.
Author |
: Frank van Harmelen |
Publisher |
: Elsevier |
Total Pages |
: 1035 |
Release |
: 2008-01-08 |
ISBN-10 |
: 9780080557021 |
ISBN-13 |
: 0080557023 |
Rating |
: 4/5 (21 Downloads) |
Synopsis Handbook of Knowledge Representation by : Frank van Harmelen
Handbook of Knowledge Representation describes the essential foundations of Knowledge Representation, which lies at the core of Artificial Intelligence (AI). The book provides an up-to-date review of twenty-five key topics in knowledge representation, written by the leaders of each field. It includes a tutorial background and cutting-edge developments, as well as applications of Knowledge Representation in a variety of AI systems. This handbook is organized into three parts. Part I deals with general methods in Knowledge Representation and reasoning and covers such topics as classical logic in Knowledge Representation; satisfiability solvers; description logics; constraint programming; conceptual graphs; nonmonotonic reasoning; model-based problem solving; and Bayesian networks. Part II focuses on classes of knowledge and specialized representations, with chapters on temporal representation and reasoning; spatial and physical reasoning; reasoning about knowledge and belief; temporal action logics; and nonmonotonic causal logic. Part III discusses Knowledge Representation in applications such as question answering; the semantic web; automated planning; cognitive robotics; multi-agent systems; and knowledge engineering. This book is an essential resource for graduate students, researchers, and practitioners in knowledge representation and AI. * Make your computer smarter* Handle qualitative and uncertain information* Improve computational tractability to solve your problems easily