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Knowledge Based Simulation
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Book Synopsis Knowledge-Based Simulation by : Paul A. Fishwick
Download or read book Knowledge-Based Simulation written by Paul A. Fishwick and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge-Based Simulation: Methodology and Application represents a recent compilation of research material that reviews fundamental concepts of simulation methodology and knowledge-based simulation applications. Knowledge-based simulation represents a new and exciting bridge area linking the fields of computer simulation and artificial intelligence. This book will appeal to both theorists and practitioners who require simulation to solve complex problems. A primary attraction of the book is its emphasis on both methodology and applications. In this way, the reader can explore new methods for encoding knowledge-inten- sive information into a simulation model, and new applications that utilize these methods.
Download or read book Knowledge-based Simulation written by and published by . This book was released on 1991 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Knowledge-based Simulation by : Jeff Rothenberg
Download or read book Knowledge-based Simulation written by Jeff Rothenberg and published by . This book was released on 1989 with total page 104 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Knowledge Based Simulation: An Artificial Intelligence Approach to System Modeling and Automating the Simulation Life Cycle by :
Download or read book Knowledge Based Simulation: An Artificial Intelligence Approach to System Modeling and Automating the Simulation Life Cycle written by and published by . This book was released on 1988 with total page 46 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper summarizes the past eight years of research in the application of Artificial Intelligence to Simulation. Our focus has been in two areas: the use of AI knowledge representation techniques for the modeling of complex systems, and the codification of simulation expertise so that it can be used to manage the simulation life cycle. The Knowledge Based Simulation system is an embodiment of this research. It provides a complete Simulation Decision Support Environment for the modeling, validation, simulation and analysis of complex systems. KBS has been applied to a variety of problems including factory and distribution system analysis. By using a frame language to represent domain concepts, such as object structure, and goals, there is a one to one correspondence between the domain and the simulation model 2. Secondly, by using rules to represent object behavior, the specification and modification of the behaviors become easier. Lastly, explanation techniques developed around rule based systems provide the basis for explaining event behaviors. (Life cycle management.) (JHD).
Book Synopsis Knowledge Based Simulation: an Artificial Intelligence Approach to System Modeling and Automating the Simulation Life Cycle by : Mark S. Fox
Download or read book Knowledge Based Simulation: an Artificial Intelligence Approach to System Modeling and Automating the Simulation Life Cycle written by Mark S. Fox and published by . This book was released on 1988 with total page 41 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper summarizes the past eight years of research in the application of Artificial Intelligence to Simulation. Our focus has been in two areas: the use of AI knowledge representation techniques for the modeling of complex systems, and the codification of simulation expertise so that it can be used to manage the simulation life cycle. The Knowledge Based Simulation system is an embodiment of this research. It provides a complete Simulation Decision Support Environment for the modeling, validation, simulation and analysis of complex systems. KBS has been applied to a variety of problems including factory and distribution system analysis. By using a frame language to represent domain concepts, such as object structure, and goals, there is a one to one correspondence between the domain and the simulation model 2. Secondly, by using rules to represent object behavior, the specification and modification of the behaviors become easier. Lastly, explanation techniques developed around rule based systems provide the basis for explaining event behaviors. (Life cycle management.) (JHD).
Book Synopsis The Knowledge-based Economy by : Loet Leydesdorff
Download or read book The Knowledge-based Economy written by Loet Leydesdorff and published by Universal-Publishers. This book was released on 2006 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Challenging, theoretically rich yet anchored in detailed empirical analysis, Loet Leydesdorff's exploration of the dynamics of the knowledge-economy is a major contribution to the field. Drawing on his expertise in science and technology studies, systems theory, and his internationally respected work on the 'triple helix', the book provides a radically new modelling and simulation of knowledge systems, capturing the articulation of structure, communication, and agency therein. This work will be of immense interest to both theorists of the knowledge-economy and practitioners in science policy." Andrew Webster Science & Technology Studies, University of York, UK ________________________________________ "This book is a ground-breaking collection of theory and techniques to help understand the internal dynamics of the modern knowledge-based economy, including issues such as stability, anticipation, and interactions amongst components. The combination of theory, measurement, and modelling gives the necessary power with which to address the complexity of modern networked social systems. Each on its own would partly illuminate an innovation system, but the combination sheds a far brighter light." Mike Thelwall Information Science, University of Wolverhampton, UK ________________________________________ "The sociologist Niklas Luhmann is considered one of the few social scientists possibly able to explain a decisive event once it has happened. In this book, Loet Leydesdorff answers the challenge to take Luhmann's analysis one step further by introducing anticipation into the theory. This book provides a fascinating exploration of the use of recursion and incursion to model social processes." Dirk Baecker Sociology, Universität Witten/Herdecke, Germany ________________________________________ How can an economy based on something as volatile as knowledge be sustained? The urgency of improving our understanding of a knowledge-based economy provides the context and necessity of this study. In a previous study entitled A Sociological Theory of Communications: The Self-Organization of the Knowledge-based Society (2001) the author specified knowledge-based systems from a sociological perspective. In this book, he takes this theory one step further and demonstrates how the knowledge base of an economic system can be operationalized, both in terms of measurement and by providing simulation models.
Book Synopsis Modelling and Simulation Methodology by : Maurice S. Elzas
Download or read book Modelling and Simulation Methodology written by Maurice S. Elzas and published by North Holland. This book was released on 1989 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: These papers are grouped into five coherent sections. The first section sets the basis for the rest of the book by addressing fundamental issues. The second section is devoted to specialized computer environments that make Modelling and Simulation easier to perform correctly, while the third section reflects the impact of rule-based methodologies (originated in the AI field) on the world of Modelling and Simulation. Section Four stands in a class of its own as it is based on a novel methodology that in itself is modelled on a biological process, providing promising inroads into the world of adaptive and self-learning methods. The last section describes various applications of the principles to generalised problems of modelling and design.
Book Synopsis Simulation and Model-Based Methodologies: An Integrative View by : Tuncer I. Ören
Download or read book Simulation and Model-Based Methodologies: An Integrative View written by Tuncer I. Ören and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 644 pages. Available in PDF, EPUB and Kindle. Book excerpt: NATO Advanced Institute Ottawa, Ontario/ Canada, July 26 - August 6, 1982
Book Synopsis Knowledge-Based Information Systems in Practice by : Jeffrey W. Tweedale
Download or read book Knowledge-Based Information Systems in Practice written by Jeffrey W. Tweedale and published by Springer. This book was released on 2015-01-21 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains innovative research from leading researchers who presented their work at the 17th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2013, held in Kitakyusha, Japan, in September 2013. The conference provided a competitive field of 236 contributors, from which 38 authors expanded their contributions and only 21 published. A plethora of techniques and innovative applications are represented within this volume. The chapters are organized using four themes. These topics include: data mining, knowledge management, advanced information processes and system modelling applications. Each topic contains multiple contributions and many offer case studies or innovative examples. Anyone that wants to work with information repositories or process knowledge should consider reading one or more chapters focused on their technique of choice. They may also benefit from reading other chapters to assess if an alternative technique represents a more suitable approach. This book will benefit anyone already working with Knowledge-Based or Intelligent Information Systems, however is suitable for students and researchers seeking to learn more about modern Artificial Intelligence techniques.
Book Synopsis Knowledge Based Improvement by : Thanos Alifantis
Download or read book Knowledge Based Improvement written by Thanos Alifantis and published by . This book was released on 2006 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Simulation and Knowledge of Action by : Jérôme Dokic
Download or read book Simulation and Knowledge of Action written by Jérôme Dokic and published by John Benjamins Publishing. This book was released on 2002-01-01 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: The current debate between theory theory and simulation theory on the nature of mentalisation has reached no consensus yet, although many now think that some hybrid theory is needed. This collection of essays represents an effort at re-evaluating the scope of simulation theory, while also considering areas in which it could be submitted to experimental tests. The volume explores the two main versions of simulation theory, Goldman s introspectionism and Gordon s radical simulationism, and enquires whether they allow a non-circular account of mentalisation. The originality of the volume is to confront conceptual views on simulation with data from pragmatics, developmental psychology and the neurosciences. Individual chapters contain discussions of specific issues such as autism, imitation, motor imagery, conditional reasoning, joint attention and the understanding of demonstratives. It will be of interest primarily to advanced students and researchers in the philosophy of mind, language and action, but also to everyone interested in the nature of interpretation and communication. (Series B)
Book Synopsis Special Issue on Knowledge Based Simulation by : Society for Computer Simulation
Download or read book Special Issue on Knowledge Based Simulation written by Society for Computer Simulation and published by . This book was released on 1993 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Knowledge-based Simulation written by and published by . This book was released on 1991 with total page 82 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Relevant Literature in Support of Knowledge-based Simulation Models by :
Download or read book Relevant Literature in Support of Knowledge-based Simulation Models written by and published by . This book was released on 1987 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This article describes and references the relevant literature related to knowledge-based simulation. There are essentially ten areas of literature that would likely contain relevant articles. They are the management science/operations research literature, the simulation (and modeling) literature, the production/operations management literature, the knowledge engineering and artificial intelligence literature, the systems science literature, the industrial engineering literature, the mechanical engineering literature, and the information science literature.
Book Synopsis Simulating Knowledge Dynamics in Innovation Networks by : Nigel Gilbert
Download or read book Simulating Knowledge Dynamics in Innovation Networks written by Nigel Gilbert and published by Springer. This book was released on 2014-07-22 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: The competitiveness of firms, regions and countries greatly depends on the generation, dissemination and application of new knowledge. Modern innovation research is challenged by the need to incorporate knowledge generation and dissemination processes into the analysis so as to disentangle the complexity of these dynamic processes. With innovation, however, strong uncertainty, nonlinearities and actor heterogeneity become central factors that are at odds with traditional modeling techniques anchored in equilibrium and homogeneity. This text introduces SKIN (Simulation Knowledge Dynamics in Innovation Networks), an agent-based simulation model that primarily focuses on joint knowledge creation and exchange of knowledge in innovation co‐operations and networks. In this context, knowledge is explicitly modeled and not approximated by, for instance, the level of accumulated R&D investment. The SKIN approach supports applications in different domains ranging from sector-based research activities in knowledge-intensive industries to the activities of international research consortia engaged in basic and applied research. Following a general description of the SKIN model, several applications and modifications are presented. Each chapter introduces in detail the structure of the model, the relevant methodological considerations and the analysis of simulation results, while options for empirically validating the models’ structure and outcomes are also discussed. The book considers the scope of further applications and outlines prospects for the development of joint modeling strategies.
Book Synopsis An Integrated Scheme for Using First-principle Physical Knowledge-based Simulation by : Stanford University. Computer Science Department. Knowledge Systems Laboratory
Download or read book An Integrated Scheme for Using First-principle Physical Knowledge-based Simulation written by Stanford University. Computer Science Department. Knowledge Systems Laboratory and published by . This book was released on 1990 with total page 3 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Handbook for Evaluating Knowledge-Based Systems by : Leonard Adelman
Download or read book Handbook for Evaluating Knowledge-Based Systems written by Leonard Adelman and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge-based systems are increasingly found in a wide variety of settings and this handbook has been written to meet a specific need in their widening use. While there have been many successful applications of knowledge-based systems, some applications have failed because they never received the corrective feedback that evaluation provides for keeping development focused on the users' needs in their actual working environment. This handbook provides a conceptual framework and compendium of methods for performing evaluations of knowledge-based systems during their development. Its focus is on the users' and subject matter experts' evaluation of the usefulness of the system, and not on the developers' testing of the adequacy of the programming code. The handbook permits evaluators to systematically answer the following kinds of questions: Does the knowledge-based system meet the users' task requirements? Is the system easy to use? Is the knowledge base logically consistent? Does it meet the required level of expertise? Does the system improve performance? The authors have produced a handbook that will serve two audiences: a tool that can be used to create knowledge-based systems (practitioners, developers, and evaluators) and a framework that will stimulate more research in the area (academic researchers and students). To accomplish this, the handbook is built around a conceptual framework that integrates the different types of evaluations into the system of development process. The kinds of questions that can be answered, and the methods available for answering them, will change throughout the system development life cycle. And throughout this process, one needs to know what can be done, and what can't. It is this dichotomy that addresses needs in both the practitioner and academic research audiences.
