Bøger i IFSR International Series in Systems Science and Systems Engineering serien

Here is a comprehensive presentation of methodology for the design and synthesis of an intelligent complex robotic system, connecting formal tools from discrete system theory, artificial intelligence, neural network, and fuzzy logic.

In 1978, when the book Living Systems was published, it contained the prediction that the sciences that were concerned with the biological and social sciences would, in the future, be stated as rigorously as the "hard sciences" that study such nonliving phenomena as temperature, distance, and the interaction of chemical elements.

Here is a comprehensive presentation of methodology for the design and synthesis of an intelligent complex robotic system, connecting formal tools from discrete system theory, artificial intelligence, neural network, and fuzzy logic.

In my three previous books, The Structure of Intelligence, Evolving Mind, and Chaotic Logic, I have outlined a comprehensive complex-systems-theoretic theory of mind that I now call the psynet model.

Creating Internet Intelligence is an interdisciplinary treatise exploring the hypothesis that global computer and communication networks will one day evolve into an autonomous intelligent system, and making specific recommendations as to what engineers and scientists can do today to encourage and shape this evolution.

This book is the result of over ten (10) years of research and development in flexible robots and structures at Sandia National Laboratories.

Organization Structure: Cybernetic Systems Foundation utilizes a cybernetic systems framework for the study of organizations using GST (General Systems Theory) and presents a comprehensive formal view of organizations assessing regulation, coordination and adaptation managements.

It began in spring 1989, thirteen years after our Systems Science Department at SUNY-Binghamton was established, when I was asked by a group of students in our doctoral program to have a meeting with them.

A unique feature of the book is that the concepts, problems, and methods are introduced in the context of an architectural formulation of an expert system referred to as the general systems problem solver or aSPS-whose aim is to provide users ofall kinds with computer-based systems knowledge and methodo logy.

A unique feature of the book is that the concepts, problems, and methods are introduced in the context of an architectural formulation of an expert system referred to as the general systems problem solver or aSPS-whose aim is to provide users ofall kinds with computer-based systems knowledge and methodo logy.

A. H. Louie's new book continues the survey of relational biology that began with 2009's "More Than Life Itself." Decoding mathematics into biological realizations, he explores set-valued mappings, adjacency matrices, interacting entailment networks and more.

Analyzes the notion and theory of belief functions, also known as the Dempster-Shafer theory, from the point of view of the classical Kolmogorov axiomatic probability theory.

This book presents a unique systems theory approach to management information system (MIS) development. It covers an outline of the approach, providing a theoretical foundation for MIS from the systems theoretic viewpoint before presenting practical applications ranging from a transaction processing system to a solver system.

At first glance, this might appear to be a book on mathematics, but it is really intended for the practical engineer who wishes to gain greater control of the multidimensional mathematical models which are increasingly an important part of his environment.

Harold Lewis applied a cross-disciplinary approach in his highly accessible discussion of fuzzy control concepts. A direct and original view of Japanese thinking on fuzzy control methods, based on the author's personal knowledge of - and association with - Japanese fuzzy research, is also included.

My goal in writing this book was to go directly to the core of mental process, "where angels fear to tread" -- to tackle all the sticky issues which it is considered prudent to avoid: the nature of consciousness, the relation between mind and reality, the justification of belief systems, the connection between creativity and mental illness,....

Creating Internet Intelligence is an interdisciplinary treatise exploring the hypothesis that global computer and communication networks will one day evolve into an autonomous intelligent system, and making specific recommendations as to what engineers and scientists can do today to encourage and shape this evolution.

In my three previous books, The Structure of Intelligence, Evolving Mind, and Chaotic Logic, I have outlined a comprehensive complex-systems-theoretic theory of mind that I now call the psynet model.

Presenting a fresh approach to the fuzzy modeling of dynamic processes in systems science research, this book's coverage of both theory and key applications incorporates time as a source of fuzziness and treats applied EFD systems such as software libraries.

The applied computer systems processing natural language printed or written texts (NL-texts) or oral speech with respect to the fact that the words are associated with some meanings are called semantics-oriented natural language processing s- tems (NLPSs).

In opposition to the classical set theory of natural language, Novak's highly original monograph offers a theory based on alternative and fuzzy sets. This new approach is firmly grounded in semantics and pragmatics, and accounts for the vagueness inherent in natural language-filling a large gap in our current knowledge.

General systems methodology is a theoretical methodology whose purpose is to realize the ideal model of a systems theory described by von Bertalanffy, Quastler, and Zadeh - that is, to establish a general theory applicable to explain phenomena in various specific systems. This volume is a mathematical approach to general systems theory.

This book demonstrates the theoretical value and practical significance of systems science and its logic of thinking by presenting a rigorously developed foundation-a tool for intuitive reasoning, which is supported by both theory and empirical evidence, as well as practical applications in business decision making.

In its revised, expanded and updated second edition, this book remains the guiding foundation for the still-growing field of Anticipatory Systems Theory. Includes a new set of Prolegomena, a new chapter on the Ontology of Anticipation and more.

This exposition of generalized measure theory unfolds systematically. It begins with preliminaries and new concepts, followed by a detailed treatment of important new results regarding various types of nonadditive measures and associated integration theory.

Unconventional and challenging viewpoints are presented in this book that will be of interest to researchers in AI, psychology, cybernetics and systems science. The book systematically advances an alternative approach to analyze and model intelligence.

It began in Spring 1989, thirteen years after our Systems Science Department at SUNY -Binghamton was established, when I was asked by a group of students in our doctoral program to have a meeting with them.

Organization Structure: Cybernetic Systems Foundation utilizes a cybernetic systems framework for the study of organizations using GST (General Systems Theory) and presents a comprehensive formal view of organizations assessing regulation, coordination and adaptation managements.