Knowledge-Based Simulation

Knowledge-Based Simulation PDF

Author: Paul A. Fishwick

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 310

ISBN-13: 1461230403

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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.

Computer-Based Management of Complex Systems

Computer-Based Management of Complex Systems PDF

Author: Peter M. Milling

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 648

ISBN-13: 3642749461

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Especially during the last decade, the systems approach gained wide spread attention and increased influence in the world of academics and business. The holistic view of how individual elements interact with ea~h other to form an entity -not a collection of isolated parts -becomes more and more important. Whether it is called "integration" as in Computer Integrated Manufacturing, "organism" in ecological studies, or "network" like the communication network, it is the system's idea which opens neVI' dimensions for insights, applications and development. System Dynamics -or Industrial Dynamics as it was called during its early years by its founder and mentor, M.I.T.'s now Professor Emeritus Jay W. Forrester, -pioneered the use of system concepts and computer simulation for the analysis of complex problems in business and management. It was applied to study the dynamics of corporations, cities, national economies and, finally, the global problems of man and in his limited and fragile environment. The field has reached a stage of self sustained development and momentum. A few years ago the System Dynamics Society was founded, a high quality academic journal is now published in its fifth volume, and the annual International Conferences of the Society were institutionalized and took place in America, Europe and Asia. The organization of international meet· ings for this scientific community, however, is older than the System Dynamics Society itself. The first conventions were held as special sections of conferences devoted to simulation or cybernetics.

Knowledge-Based Information Systems in Practice

Knowledge-Based Information Systems in Practice PDF

Author: Jeffrey W. Tweedale

Publisher: Springer

Published: 2015-01-21

Total Pages: 416

ISBN-13: 3319135457

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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.

Knowledge Based Simulation: an Artificial Intelligence Approach to System Modeling and Automating the Simulation Life Cycle

Knowledge Based Simulation: an Artificial Intelligence Approach to System Modeling and Automating the Simulation Life Cycle PDF

Author: Mark S. Fox

Publisher:

Published: 1988

Total Pages: 41

ISBN-13:

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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).

Knowledge Based Simulation: An Artificial Intelligence Approach to System Modeling and Automating the Simulation Life Cycle

Knowledge Based Simulation: An Artificial Intelligence Approach to System Modeling and Automating the Simulation Life Cycle PDF

Author:

Publisher:

Published: 1988

Total Pages: 46

ISBN-13:

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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).

The Knowledge-based Economy

The Knowledge-based Economy PDF

Author: Loet Leydesdorff

Publisher: Universal-Publishers

Published: 2006

Total Pages: 392

ISBN-13: 1581129378

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"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.

Modelling and Simulation Methodology

Modelling and Simulation Methodology PDF

Author: Maurice S. Elzas

Publisher: North Holland

Published: 1989

Total Pages: 506

ISBN-13:

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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.