Download or read book Knowledge Representation by Petri nets and Other Schemes written by Yi-chun Chiang and published by . This book was released on 1991 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Petri nets for knowledge representation written by Maria Paola Bonacina and published by . This book was released on 1987 with total page 10 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Knowledge Representation Using Petri Nets and Knowledge Tables written by Rafael Ortiz and published by . This book was released on 1991 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Petri Nets for Combined Knowledge Representation and Inferencing written by C. E. B. Frost and published by . This book was released on 1991 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Fuzzy Petri Nets for Knowledge Representation Acquisition and Reasoning written by Hua Shi and published by Springer Nature. This book was released on 2023-10-23 with total page 476 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Integration of Petri Nets Into a Tool for Consistency Checking of Expert Systems with Rule based Knowledge Representation written by Ralf Steinmetz and published by . This book was released on 1985 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Artificial Intelligence and Automation written by Nikolaos G. Bourbakis and published by World Scientific. This book was released on 1998 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Conceptual Graphs for Knowledge Representation written by Guy W. Mineau and published by Springer Science & Business Media. This book was released on 1993-07-14 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Knowledge Based Intelligent Information and Engineering Systems written by Rajiv Khosla and published by Springer. This book was released on 2005-08-25 with total page 1447 pages. Available in PDF, EPUB and Kindle. Book excerpt: ... welcome to the proceedings of the 9th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems hosted by La Trobe University in Melbourne, Australia.

Download or read book Knowledge Based and Intelligent Information and Engineering Systems written by Juan D. Velásquez and published by Springer. This book was released on 2009-10-01 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: On behalf of KES International and the KES 2009 Organising Committee we are very pleased to present these volumes, the proceedings of the 13th Inter- tional Conference on Knowledge-Based Intelligent Information and Engineering Systems, held at the Faculty of Physical Sciences and Mathematics, University of Chile, in Santiago de Chile. This year, the broad focus of the KES annual conference was on intelligent applications, emergent intelligent technologies and generic topics relating to the theory, methods, tools and techniques of intelligent systems. This covers a wide range of interests, attracting many high-quality papers, which were subjected to a very rigorous review process. Thus, these volumes contain the best papers, carefully selected from an impressively large number of submissions, on an - teresting range of intelligent-systems topics. For the ?rsttime in overa decade of KES events,the annualconferencecame to South America, to Chile. For many delegates this represented the antipode of their own countries. We recognise the tremendous e?ort it took for everyone to travel to Chile, and we hope this e?ort was rewarded. Delegates were presented with the opportunity of sharing their knowledge of high-tech topics on theory andapplicationofintelligentsystemsandestablishinghumannetworksforfuture work in similar research areas, creating new synergies, and perhaps even, new innovative ?elds of study. The fact that this occurred in an interesting and beautiful area of the world was an added bonus.

Download or read book Handbook of Knowledge Representation written by Frank van Harmelen and published by Elsevier. This book was released on 2008-01-08 with total page 1035 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book Application and Theory of Petri Nets 1993 written by Marco Ajmone Marsan and published by Springer Science & Business Media. This book was released on 1993-06-07 with total page 612 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the proceedings of the 14th International Conference onApplication and Theory of Petri Nets. The aim of the Petri net conferences is to create a forum for discussing progress in the application and theory of Petri nets. Typically, the conferences have 150-200 participants, one third of whom come from industry, while the rest are from universities and research institutes. The volume includes three invited papers, "Modeling and enactment of workflow systems" (C.A. Ellis, G.J. Nutt), "Interleaving functional and performance structural analysis of net models" (M. Silva), and "FSPNs: fluid stochastic Petri nets" (K.S. Trivedi, V.G. Kulkarni), together with 26 full papers (selected from 102 submissions) and 6 project papers.

Download or read book Knowledge Representation and Relation Nets written by Aletta E. Geldenhuys and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge Representation and Relation Nets introduces a fresh approach to knowledge representation that can be used to organize study material in a convenient, teachable and learnable form. The method extends and formalizes concept mapping by developing knowledge representation as a structure of concepts and the relationships among them. Such a formal description of analogy results in a controlled method of modeling `new' knowledge in terms of `existing' knowledge in teaching and learning situations, and its applications result in a consistent and well-organized approach to problem solving. Additionally, strategies for the presentation of study material to learners arise naturally in this representation. While the theory of relation nets is dealt with in detail in part of this book, the reader need not master the formal mathematics in order to apply the theory to this method of knowledge representation. To assist the reader, each chapter starts with a brief summary, and the main ideas are illustrated by examples. The reader is also given an intuitive view of the formal notions used in the applications by means of diagrams, informal descriptions, and simple sets of construction rules. Knowledge Representation and Relation Nets is an excellent source for teachers, courseware designers and researchers in knowledge representation, cognitive science, theories of learning, the psychology of education, and structural modeling.

Download or read book Fuzzy Logic and Soft Computing written by Bernadette Bouchon-Meunier and published by World Scientific. This book was released on 1995 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: Soft computing is a new, emerging discipline rooted in a group of technologies that aim to exploit the tolerance for imprecision and uncertainty in achieving solutions to complex problems. The principal components of soft computing are fuzzy logic, neurocomputing, genetic algorithms and probabilistic reasoning.This volume is a collection of up-to-date articles giving a snapshot of the current state of the field. It covers the whole expanse, from theoretical foundations to applications. The contributors are among the world leaders in the field.

Download or read book Artificial Intelligence and Soft Computing written by Amit Konar and published by CRC Press. This book was released on 2018-10-08 with total page 653 pages. Available in PDF, EPUB and Kindle. Book excerpt: With all the material available in the field of artificial intelligence (AI) and soft computing-texts, monographs, and journal articles-there remains a serious gap in the literature. Until now, there has been no comprehensive resource accessible to a broad audience yet containing a depth and breadth of information that enables the reader to fully understand and readily apply AI and soft computing concepts. Artificial Intelligence and Soft Computing fills this gap. It presents both the traditional and the modern aspects of AI and soft computing in a clear, insightful, and highly comprehensive style. It provides an in-depth analysis of mathematical models and algorithms and demonstrates their applications in real world problems. Beginning with the behavioral perspective of "human cognition," the text covers the tools and techniques required for its intelligent realization on machines. The author addresses the classical aspects-search, symbolic logic, planning, and machine learning-in detail and includes the latest research in these areas. He introduces the modern aspects of soft computing from first principles and discusses them in a manner that enables a beginner to grasp the subject. He also covers a number of other leading aspects of AI research, including nonmonotonic and spatio-temporal reasoning, knowledge acquisition, and much more. Artificial Intelligence and Soft Computing: Behavioral and Cognitive Modeling of the Human Brain is unique for its diverse content, clear presentation, and overall completeness. It provides a practical, detailed introduction that will prove valuable to computer science practitioners and students as well as to researchers migrating to the subject from other disciplines.

Download or read book Parallel and Distributed Logic Programming written by Alakananda Bhattacharya and published by Springer. This book was released on 2006-10-21 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the parallel and distributed approach to logic programming, examining existing models of distributed logic programming, and proposing an alternative framework for distributed logic programming using extended Petri nets. The hardwired realization of the Petri net based framework is presented in detail, and principles of mapping of a logic program on to the proposed framework are outlined. Finally, the book explores the scope of Petri net models in designing next-generation deductive database machines.

Download or read book MICAI 2006 Advances in Artificial Intelligence written by Alexander Gelbukh and published by Springer Science & Business Media. This book was released on 2006-11-07 with total page 1258 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 5th Mexican International Conference on Artificial Intelligence, MICAI 2006, held in Apizaco, Mexico in November 2006. It contains over 120 papers that address such topics as knowledge representation and reasoning, machine learning and feature selection, knowledge discovery, computer vision, image processing and image retrieval, robotics, as well as bioinformatics and medical applications.