Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Knowledge-Based Simulation PDF full book. Access full book title Knowledge-Based Simulation by Paul A. Fishwick. Download full books in PDF and EPUB format.
Author: Paul A. Fishwick Publisher: Springer Science & Business Media ISBN: 1461230403 Category : Computers Languages : en Pages : 310
Book Description
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.
Author: Paul A. Fishwick Publisher: Springer Science & Business Media ISBN: 1461230403 Category : Computers Languages : en Pages : 310
Book Description
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.
Author: Lawrence E. Widman Publisher: ISBN: Category : Computers Languages : en Pages : 586
Book Description
This interdisciplinary approach to computer modeling addresses both traditional simulationists seeking the greater representational flexibility and ease of use that AI techniques offer, and computer scientists seeking the greater power and realism that rigorous simulation techniques can provide. First section reveals the theoretical underpinnings of AI and simulation. Second section describes application of simulation techniques to current problems in AI research. Third section discusses application of AI methods to simulation.
Author: Daniel S. Levine Publisher: Psychology Press ISBN: 1135692254 Category : Psychology Languages : en Pages : 512
Book Description
This thoroughly, thoughtfully revised edition of a very successful textbook makes the principles and the details of neural network modeling accessible to cognitive scientists of all varieties as well as to others interested in these models. Research since the publication of the first edition has been systematically incorporated into a framework of proven pedagogical value. Features of the second edition include: * A new section on spatiotemporal pattern processing * Coverage of ARTMAP networks (the supervised version of adaptive resonance networks) and recurrent back-propagation networks * A vastly expanded section on models of specific brain areas, such as the cerebellum, hippocampus, basal ganglia, and visual and motor cortex * Up-to-date coverage of applications of neural networks in areas such as combinatorial optimization and knowledge representation As in the first edition, the text includes extensive introductions to neuroscience and to differential and difference equations as appendices for students without the requisite background in these areas. As graphically revealed in the flowchart in the front of the book, the text begins with simpler processes and builds up to more complex multilevel functional systems. For more information visit the author's personal Web site at www.uta.edu/psychology/faculty/levine/
Author: S.G. Tzafestas Publisher: Springer Science & Business Media ISBN: 9401125600 Category : Technology & Engineering Languages : en Pages : 672
Book Description
This book contains a selection of papers presented at the "European Robotics and Intelligent Systems Conference" (EURISCON '91) held in Corfu. Greece (June 23-28. 1991). It is devoted to the analysis. design and applications of technological systems with built-in intelligence achieved through appropriate blending of mathematical, symbolic. sensing. computer processing. and feedback control concepts. methods and software / hardware tools. System intelligence includes human-like capabilities such as learning. observation. perception. interpretation. reasoning. planning. decision making. and action. Integrated intelligent decision and control systems obey Saridis' prinCiple of Increasing Precision with Decreasing Intelligence (IPDI). and have a hierarchical structure with three basic levels. namely Organization. Coordination. and Execution Levels. As we proceed from the organization to the execution level. the precision about the jobs to be completed increases and accordingly the intelligence reqUired for these jobs decreases. As an example. it is mentioned here that in an intelligent robotic system the organization tasks can be realized using a neural net. the coordination tasks by a Petri net. and the execution tasks by local sensors and actuators. The field of intelligent systems is a new interdisciplinary field with continuously increasing interest and expansion. It is actually the outcome of the synergetic interaction and cooperation of classical fields such as system theory. control theory. artificial intelligence. operational research. information theory. electronics. communications. and others.
Author: Daniel S. Levine Publisher: Psychology Press ISBN: 1134786387 Category : Psychology Languages : en Pages : 525
Book Description
This book is the third in a series based on conferences sponsored by the Metroplex Institute for Neural Dynamics, an interdisciplinary organization of neural network professionals in academia and industry. The topics selected are of broad interest to both those interested in designing machines to perform intelligent functions and those interested in studying how these functions are actually performed by living organisms and generate discussion of basic and controversial issues in the study of mind. The topic of optimality was chosen because it has provoked considerable discussion and controversy in many different academic fields. There are several aspects to the issue of optimality. First, is it true that actual behavior and cognitive functions of living animals, including humans, can be considered as optimal in some sense? Second, what is the utility function for biological organisms, if any, and can it be described mathematically? Rather than organize the chapters on a "biological versus artificial" basis or by what stance they took on optimality, it seemed more natural to organize them either by what level of questions they posed or by what intelligent functions they dealt with. The book begins with some general frameworks for discussing optimality, or the lack of it, in biological or artificial systems. The next set of chapters deals with some general mathematical and computational theories that help to clarify what the notion of optimality might entail in specific classes of networks. The final section deals with optimality in the context of many different high-level issues, including exploring one's environment, understanding mental illness, linguistic communication, and social organization. The diversity of topics covered in this book is designed to stimulate interdisciplinary thinking and speculation about deep problems in intelligent system organization.
Author: Jérôme Dokic Publisher: John Benjamins Publishing ISBN: 902729707X Category : Psychology Languages : en Pages : 293
Book Description
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)
Author: Paul A. Fishwick
Author: Paul A. Fishwick
Author: Lawrence E. Widman
Author: Ranjeet J. Uttamsingh
Author: Daniel S. Levine
Author: 
Author: S.G. Tzafestas
Author: Daniel S. Levine
Author: 
Author: Jérôme Dokic
Author: British Library. Document Supply Centre