DOCSLIB.ORG

Paul P. Wang, Da Ruan, Etienne E. Kerre (Eds.) Fuzzy Logic Studies in Fuzziness and Soft Computing, Volume 215

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Paul P. Wang, Da Ruan, Etienne E. Kerre (Eds.) Fuzzy Logic Studies in Fuzziness and Soft Computing, Volume 215 Paul P. Wang, Da Ruan, Etienne E. Kerre (Eds.) Fuzzy Logic Studies in Fuzziness and Soft Computing, Volume 215 Editor-in-chief Prof. Janusz Kacprzyk Systems Research Institute Polish Academy of Sciences ul. Newelska 6 01-447 Warsaw Poland E-mail: [email protected] Further volumes of this series Vol. 207. Isabelle Guyon, Steve Gunn, can be found on our homepage: Masoud Nikravesh, Lotfi A. Zadeh (Eds.) springer.com Feature Extraction, 2006 ISBN 978-3-540-35487-1 Vol. 199. Zhong Li Vol. 208. Oscar Castillo, Patricia Melin, Fuzzy Chaotic Systems, 2006 Janusz Kacprzyk, Witold Pedrycz (Eds.) ISBN 978-3-540-33220-6 Hybrid Intelligent Systems, 2007 ISBN 978-3-540-37419-0 Vol. 200. Kai Michels, Frank Klawonn, Vol. 209. Alexander Mehler, Reinhard Rudolf Kruse, Andreas Nürnberger Köhler Fuzzy Control, 2006 Aspects of Automatic Text Analysis, 2007 ISBN 978-3-540-31765-4 ISBN 978-3-540-37520-3 Vol. 201. Cengiz Kahraman (Ed.) Vol. 210. Mike Nachtegael, Dietrich Van der Fuzzy Applications in Industrial Weken, Etienne E. Kerre, Wilfried Philips Engineering, 2006 (Eds.) ISBN 978-3-540-33516-0 Soft Computing in Image Processing, 2007 Vol. 202. Patrick Doherty, Witold ISBN 978-3-540-38232-4 Łukaszewicz, Andrzej Skowron, Andrzej Vol. 211. Alexander Gegov Szałas Complexity Management in Fuzzy Systems, Knowledge Representation Techniques: A 2007 Rough Set Approach, 2006 ISBN 978-3-540-38883-8 ISBN 978-3-540-33518-4 Vol. 212. Elisabeth Rakus-Andersson Vol. 203. Gloria Bordogna, Giuseppe Psaila Fuzzy and Rough Techniques in Medical (Eds.) Diagnosis and Medication, 2007 Flexible Databases Supporting Imprecision ISBN 978-3-540-49707-3 and Uncertainty, 2006 ISBN 978-3-540-33288-6 Vol. 213. Peter Lucas, José A. Gámez, Antonio Salmerón (Eds.) Vol. 204. Zongmin Ma (Ed.) Advances in Probabilistic Graphical Soft Computing in Ontologies and Semantic Models, 2007 Web, 2006 ISBN 978-3-540-68994-2 ISBN 978-3-540-33472-9 Vol. 214. Irina Georgescu Vol. 205. Mika Sato-Ilic, Lakhmi C. Jain Fuzzy Choice Functions, 2007 Innovations in Fuzzy Clustering, 2006 ISBN 978-3-540-68997-3 ISBN 978-3-540-34356-1 Vol. 215. Paul P. Wang, Da Ruan, Vol. 206. A. Sengupta (Ed.) Etienne E. Kerre (Eds.) Chaos, Nonlinearity, Complexity, 2006 Fuzzy Logic, 2007 ISBN 978-3-540-31756-2 ISBN 978-3-540-71257-2 Paul P. Wang Da Ruan Etienne E. Kerre (Eds.) Fuzzy Logic A Spectrum of Theoretical & Practical Issues With 108 Figures and 28 Tables Professor Dr. Paul P. Wang Professor Dr. Etienne E. Kerre Department of Electrical & Department of Applied Mathematics & Computer Engineering Computer Science Pratt School of Engineering Ghent University Duke University Krijgslaan 281 (S9), 9000 Gent Science Drive, West Campus Belgium 27708 Durham, N. C. e-mail: [email protected] USA e-mail: [email protected] Professor Dr. Da Ruan The Belgian Nuclear Research Centre (SCK·CEN) Boeretang 200, 2400 Mol Belgium e-mail: [email protected] and Department of Applied Mathematics & Computer Science Ghent University Krijgslaan 281 (S9), 9000 Gent Belgium e-mail: [email protected] Library of Congress Control Number: 2007923180 ISSN print edition: 1434-9922 ISSN electronic edition: 1860-0808 ISBN 978-3-540-71257-2 Springer Berlin Heidelberg New York This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilm or in any other way, and storage in data banks. Duplication of this publication or parts thereof is permitted only under the provisions of the German Copyright Law of September 9, 1965, in its current version, and permission for use must always be obtained from Springer. Violations are liable for prosecution under the German Copyright Law. Springer is a part of Springer Science+Business Media springer.com c Springer-Verlag Berlin Heidelberg 2007 The use of general descriptive names, registered names, trademarks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. Typesetting: Integra Software Services Pvt. Ltd., India Cover design: WMX Design Printed on acid-free paper SPIN: 11506386 42/3100/Integra 5 4 3 2 1 0 Contents Foreword ......................................................VII Preface ........................................................ XI List of Contributors ...........................................XIII Why Fuzzy Logic? – A Spectrum of Theoretical and Pragmatics Issues Paul P. Wang, Da Ruan, and Etienne E. Kerre ...................... 1 On Fuzzy Set Theories Ana Pradera, Enric Trillas, Sergio Guadarrama, and Eloy Renedo ..... 15 Uninorm Basics J´anos Fodor and Bernard De Baets ................................ 49 Structural Interpolation and Approximation with Fuzzy Relations: A Study in Knowledge Reuse Witold Pedrycz .................................................. 65 On Fuzzy Logic and Chaos Theory — From an Engineering Perspective Zhong Li and Xu Zhang .......................................... 79 Upper and Lower Values for the Level of Fuzziness in FCM Ibrahim Ozkan and I.B. Turksen ................................... 99 Mathematical Modeling of Natural Phenomena: A Fuzzy Logic Approach Michael Margaliot ................................................113 VI Contents Mathematical Fuzzy Logic in Modeling of Natural Language Semantics Vil´em Nov´ak ....................................................135 Analytical Theory of Fuzzy IF-THEN Rules with Compositional Rule of Inference Irina Perfilieva ..................................................173 Fuzzy Logic and Ontology-based Information Retrieval Mustapha Baziz, Mohand Boughanem, Yannick Loiseau, and Henri Prade .................................................193 Real-World Fuzzy Logic Applications in Data Mining and Information Retrieval Bernadette Bouchon-Meunier, Marcin Detyniecki, Marie-Jeanne Lesot, Christophe Marsala, and Maria Rifqi ...............................219 Gene Regulatory Network Modeling: A Data Driven Approach Yingjun Cao, Paul P. Wang, and Alade Tokuta ......................249 An Abstract Approach Toward the Evaluation of Fuzzy Rule Systems Siegfried Gottwald ................................................281 Nuclear Reactor Power Control Using State Feedback with Fuzzy Logic Jorge S. Ben´ıtez-Read, J. Humberto P´erez-Cruz and Da Ruan .........299 The Fusion of Genetic Algorithms and Fuzzy Classification for Transient Identification Enrico Zio and Piero Baraldi ......................................317 The Role of Fuzziness in Decision Making Javier Montero, Victoria L´opez and Daniel G´omez ...................337 Fuzzy Linear Bilevel Optimization: Solution Concepts, Approaches and Applications Guangquan Zhang, Jie Lu and Tharam Dillon .......................351 Fuzzy Predictive Earth Analysis Constrained by Heuristics Applied to Stratigraphic Modeling Jeffrey D. Warren, Robert V. Demicco and Louis R. Bartek ...........381 Fuzzy Logic for Modeling the Management of Technology Andr´eMa¨ısseu and Benoˆıt Ma¨ısseu ................................431 Index ..........................................................457 Foreword In order to properly characterize the content of this book, it is important to clarify first the intended meaning of its title Fuzzy Logic. This clarification is needed since the term “fuzzy logic,” as currently used in the literature, is viewed either in a narrow sense or in a broad sense. In the narrow sense, fuzzy logic is viewed as an area devoted to the formal development, in a uni- fied way, of the various logical systems of many-valued logic. It is concerned with formalizing syntactic aspects (based on the notion of proof)andsemantic aspects (based on the notion of truth) of the various logical calculi. In order to be acceptable, each of these logical calculi must be sound (provability implies truth) and complete (truth implies provability). The most representative pub- lication of fuzzy logic in this sense is, in my opinion, the classic book by Peter Hajek [1]. When the term “fuzzy logic” is viewed in the broad sense, it refers to an extensive agenda whose primary aim is to utilize the apparatus of fuzzy set theory for developing sound concepts, principles, and methods for representing and dealing with knowledge expressed by statements in natural language. Although work in fuzzy logic in the broad sense is not directly concerned with the issues that are investigated under fuzzy logic in the narrow sense, the importance of the latter is that it provides the former with solid theoretical foundations. After examining the content of this book, it is easy to conclude that its title, Fuzzy Logic, refers to fuzzy logic in the broad sense. This is consistent, by and large, with the usual meaning of the term “fuzzy logic” in the literature. Indeed, most papers and books that use the term “fuzzy logic” in their titles or in their lists of keywords are, in fact, dealing with issues of fuzzy logic in the broad sense. Literature devoted to fuzzy logic in the narrow sense, which is lately referred to as mathematical fuzzy logic or formal fuzzy logic, is only a small fraction of the overall literature on fuzzy logic, and it is primarily literature shared by a relatively small community of researchers working in this area. However, in spite of this rather small visibility of fuzzy logic in the VIII Foreword narrow sense, its importance for building foundations for fuzzy logic in
Load more

Recommended publications
  • What Is Systems Theory?
    What is Systems Theory? Systems theory is an interdisciplinary theory about the nature of complex systems in nature, society, and science, and is a framework by which one can investigate and/or describe any group of objects that work together to produce some result. This could be a single organism, any organization or society, or any electro-mechanical or informational artifact. As a technical and general academic area of study it predominantly refers to the science of systems that resulted from Bertalanffy's General System Theory (GST), among others, in initiating what became a project of systems research and practice. Systems theoretical approaches were later appropriated in other fields, such as in the structural functionalist sociology of Talcott Parsons and Niklas Luhmann . Contents - 1 Overview - 2 History - 3 Developments in system theories - 3.1 General systems research and systems inquiry - 3.2 Cybernetics - 3.3 Complex adaptive systems - 4 Applications of system theories - 4.1 Living systems theory - 4.2 Organizational theory - 4.3 Software and computing - 4.4 Sociology and Sociocybernetics - 4.5 System dynamics - 4.6 Systems engineering - 4.7 Systems psychology - 5 See also - 6 References - 7 Further reading - 8 External links - 9 Organisations // Overview 1 / 20 What is Systems Theory? Margaret Mead was an influential figure in systems theory. Contemporary ideas from systems theory have grown with diversified areas, exemplified by the work of Béla H. Bánáthy, ecological systems with Howard T. Odum, Eugene Odum and Fritj of Capra , organizational theory and management with individuals such as Peter Senge , interdisciplinary study with areas like Human Resource Development from the work of Richard A.
    [Show full text]
  • TECHNICAL PROGRAM NAFIPS-TARDEC Session*
    TECHNICAL PROGRAM NAFIPS-TARDEC Session* Wednesday, June 22, 2005 8:00 AM Visitor Check-in at Badge Office (Bldg. 232, Gate 38) Continental Breakfast and TARDEC Seminar Sign-In TARDEC Bldg 200A-Auditorium 10:00 AM TARDEC Welcome - Dr. Grant Gerhart. Session Chair: Tom Meitzler 10:10 AM From Search Engines to Question-Answering Systems—The Problems of World Knowledge, Relevance and Deduction Lotfi A. Zadeh, Department of Electrical Engineering and Computer Science, University of California, Berkeley 10:50 AM BREAK 11:00 AM Arming the Robotic Solder with Fuzzy Logic Ronald R Yager, Machine Intelligence Institute 11:40 AM LUNCH- Bldg. 200A Cafeteria (Box Lunches Provided) 12:10 PM Standard Fuzzy Arithmetic and Constrained Fuzzy Arithmetic George J. Klir, Department of Systems Science & Industrial Eng., Binghamton University (SUNNY) 12:50 PM Fuzzy-Neural Computing and the Development of Intelligent Systems: Theory and Industrial Applications Madan M. Gupta, Intelligent Systems Research Laboratory, University of Saskatchewan 1:30 PM BREAK 1:40 PM Hybrid Fuzzy Systems: Classification and Prediction Applications Piero P. Bonissone, General Electric Global Research 2:20 PM Soft Computing for Sensor and Algorithm Fusion Jim Keller, Electrical and Computer Engineering Department, University of Missouri-Columbia 3:00 PM BREAK 3:10 PM Panel Discussion: The Importance of Fuzzy Logic Applications to the US Army and Homeland Defense Tom Meitzler, Moderator Panelists: Lotfi A. Zadeh, Ronald R Yager, George J. Klir, Madan M. Gupta, Piero P. Bonissone, Jim Keller, and Dimitar Filev 4:00PM Closing Remarks *This session is open to US citizens only. Thursday, June 23, 2005, 08:30AM – 10:00AM Plenary Session I 8:30 AM The Concept of a Generalized Constraint—A Bridge from Natural Languages to Mathematics Lofti A.
    [Show full text]
  • Autobiographical Reminiscences
    SYSTEMS MOVEMENT: AUTOBIOGRAPHICAL REMINISCENCES John N. Warfield Integrative Sciences, Inc. 2673 Westcott Circle Palm Harbor, FL 34684-1746 Page 1 SYSTEMS MOVEMENT: AUTOBIOGRAPHICAL REMINISCENCES John N. Warfield Integrative Sciences, Inc. 2673 Westcott Circle Palm Harbor, FL 34684-1746 Introduction. I have been invited by George Klir to contribute to this journal “information regarding...thought processes and individual motivations” that animated my career in the systems movement. This invitation was right on target with my wishes for writing this article. At the outset I will tell the reader that my motivation was to develop a systems science; a science that extended all the way from its foundations through a sufficient number of applications to provide empirical evidence that the science was properly constructed and was very functional; a science that could withstand the most aggressive challenge. Part of my strategy was to discover any prior scientific work that had relevance and to show its place in the science. The motivation for developing such a science was founded in the belief that many problematic situations could readily be observed in the world, and that a properly constructed and documented systems science would provide the basis for resolving these situations. I now believe that I have succeeded in accomplishing what I set out to do. I also think that the reader will find this to be a very dubious statement, and that my challenge in this paper is to convince the reader that what I have said is true. The reader may keep this in mind in going through the paper, and may write challenges as the reading progresses.
    [Show full text]
  • Fuzzy Logic in Geology
    Fuzzy Logic in Geology Edited by Robert V. Demicco and George J. Klir CENTER FOR INTELLIGENT SYSTEMS BINGHAMTON UNIVERSITY (SUNY) BINGHAMTON, NEW YORK, USA Copyright © 2004, Elsevier Science (USA) Academic Press An imprint of Elsevier Science 525 B Street, Suite 1900, San Diego, California 92101-4495, USA http://www.academicpress.com Academic Press 84 Theobald’s Road, London WC1X 8RR, UK http://www.academicpress.com Library of Congress Cataloging-in-Publication Data ISBN 0-12-415146-9 PRINTED IN THE UNITED STATES OF AMERICA Contents Contributors vii Foreword by Lotfi A. Zadeh ix Preface xiii Glossary of Symbols xv Chapter 1 Introduction 1 Chapter 2 Fuzzy Logic: A Specialized Tutorial 11 Chapter 3 Fuzzy Logic and Earth Science: An Overview 63 Chapter 4 Fuzzy Logic in Geological Sciences: A Literature Review 103 Chapter 5 Applications of Fuzzy Logic to Stratigraphic Modeling 121 Chapter 6 Fuzzy Logic in Hydrology and Water Resources 153 Chapter 7 Formal Concept Analysis in Geology 191 Chapter 8 Fuzzy Logic and Earthquake Research 239 Chapter 9 Fuzzy Transform: Application to the Reef Growth Problem 275 Chapter 10 Ancient Sea Level Estimation 301 Acknowledgments 337 Index 339 v Foreword In October 1999, at the invitation of my eminent friend, Professor George Klir, I visited the Binghamton campus of the State University of New York. In the course of my visit, I became aware of the fact that Professor Klir, a leading contributor to fuzzy logic and theories of uncertainty, was collaborating with Professor Robert Demicco, a leading contributor to geology and an expert on sedimentology, on an NSF-supported research project involving an exploration of possible applications of fuzzy logic to geology.
    [Show full text]
  • SSIE-261 Probabilistic Systems-I
    A Personal Historical Perspective on Systems Studies at Binghamton & Elsewhere CoCo Seminar March 2, 2016 Hal Lewis 1 Overview Reasons for knowing some history Subtext: A matter of identity Origins of systems studies Early days of systems studies at Binghamton: SAT My personal experiences leading me to systems science Systems science at Binghamton in the ‘80s Systems science in other locations What has happened since then? Personal reflections & possible lessons 2 Reasons for knowing some history To discover potentially useful ideas to pick up & develop anew To put our current ideas & activities into context To understand what’s really going on now, we need to understand what went on before To avoid past mistakes To have a basis of communication with people from the past (alumni, past faculty, etc.) Pride/Marketing on past glories BUT NOT to attempt to recreate the past 3 Subtext: A matter of identity I’ll be upfront in telling you one of my subtexts—Identity issues are important I don’t identify myself as an engineer I don’t identify systems science as primarily an engineering field When we’re misidentified by others or ourselves, we miss opportunities & we suffer 4 Subtext: Not that I’m anti-engineering 5 Subtext: Not that I’m anti-engineering 6 Subtext: But there is a lot more than engineering 7 Systems studies origins 8 Some definitions & claims of Klir Interdisciplinary: Fields on the border of (typically two) disciplines (biochemistry, social anthropology, geophysics, etc.) Multidisciplinary: Fields where it
    [Show full text]
  • Leveraging System Science When Doing System Engineering
    Leveraging System Science When Doing System Engineering Richard A. Martin INCOSE System Science Working Group and Tinwisle Corporation System Science and System Engineering Synergy • Every System Engineer has a bit of the scientific experimenter in them and we apply scientific knowledge to the spectrum of engineering domains that we serve. • The INCOSE System Science Working Group is examining and promoting the advancement and understanding of Systems Science and its application to System Engineering. • This webinar will report on these efforts to: – encourage advancement of Systems Science principles and concepts as they apply to Systems Engineering; – promote awareness of Systems Science as a foundation for Systems Engineering; and – highlight linkages between Systems Science theories and empirical practices of Systems Engineering. 7/10/2013 INCOSE Enchantment Chapter Webinar Presentation 2 Engineering or Science • “Most sciences look at certain classes of systems defined by types of components in the system. Systems science looks at systems of all types of components, and emphasizes types of relations (and interactions) between components.” George Klir – past President of International Society for the System Sciences • Most engineering looks at certain classes of systems defined by types of components in the system. Systems engineering looks at systems of all types of components, and emphasizes types of relations (and interactions) between components. 7/10/2013 INCOSE Enchantment Chapter Webinar Presentation 3 Engineer or Scientist
    [Show full text]
  • System Science D
    System Science D. L. Hysell Earth and Atmospheric Sciences Cornell University June, 2011 definition There is no universal definition of \system science." People seem to have trouble defining \system science" without using the term \system." Is \system science" whatever people say it is? What do we say? 2 / 20 practice The Department of at invites applications for an Assistant Professor in the area of extreme weather under climate change. ... The incumbent could take an Earth system approach to the subject, emphasizing the interactions of atmospheric, oceanic, and land-surface processes in responding to forcing from the climate system ... 1 1An actual position announcement 3 / 20 Earth System Science \Given the concerns that humankind is impacting the earth's physical climate system, a broader concept of the earth as a system is emerging. Within this concept, knowledge from the traditional earth science disciplines of geology, meteorology and oceanography along with biology is being gleaned and integrated to form a physical basis for Earth System Science. The broader concept of Earth System Science has also come to include societal dimensions and the recognition that humanity plays an ever increasing role in global change." \The Earth System Science concept fosters synthesis and the development of a holistic model in which disciplinary process and action lead to synergistic interdisciplinary relevance." 2 2Johnson, D. R., et al., What is Earth System Science?, Proceedings of the 1997 International Geoscience and Remote Sensing Symposium, Singapore, August 4 - 8, 1997, pp 688 - 691 4 / 20 science education \The Earth system is often represented by interlinking and interacting \spheres" of processes and phenomena.
    [Show full text]
  • Chapter 1 the BACKGROUND to SYSTEMICS
    Chapter 1 THE BACKGROUND TO SYSTEMICS 1.1 Introduction 1.2 What is Systemics? 1.3 A short, introductory history 1.4 Fundamental theoretical concepts 1.4.1 Set theory 1.4.2 Set theory and systems 1.4.3 Formalizing systems 1.4.4 Formalizing Systemics 1.5 Sets, structured sets, systems and subsystems 1.6 Other approaches 1.1 Introduction This book is devoted to the problems arising when dealing with emergent behaviors in complex systems and to a number of proposals advanced to solve them. The main concept around which all arguments revolve, is that of Collective Being. The latter expression roughly denotes multiple systems in which each component can belong simultaneously to different subsystems. Typical instances are swarms, flocks, herds and even crowds, social groups, sometimes industrial organisations and perhaps the human cognitive system itself. The study of Collective Beings is, of course, a matter of necessity when dealing with systems whose elements are agents, each of which is capable of some form of cognitive processing. The subject of this book could therefore be defined as "the study of emergent collective behaviors within assemblies of cognitive agents". 2 Chapter 1 Needless to say, such a topic involves a wide range of applications attracting the attention of a large audience. It integrates contributions from Artificial Life, Swarm Intelligence, Economic Theory, but also from Statistical Physics, Dynamical Systems Theory and Cognitive Science. It concerns domains such as organizational learning, the development or emergence of ethics (metaphorically intended as social software), the design of autonomous robots and knowledge management in the post-industrial society.
    [Show full text]
  • Rethinking Systems Movement: a Proposal for Reshaping It As an Academic Discipline Named ‘Systems Studies’
    Rethinking Systems Movement: A Proposal for Reshaping it as an Academic Discipline Named ‘Systems Studies’ Dr. Md. Abdur Rouf Second Secretary National Board of Revenue (NBR) Government of the People’s Republic of Bangladesh E-mail: [email protected] ABSTRACT In this work, in an effort to critically analyze the systems movement, its nature and scope have been discussed, achievements and failures have been examined, potentials to become an academic discipline has been explored and finally suggestions have been made to forge an academic discipline out of systems movement named Systems Studies. Systems movement is centered upon General Systems Theory (GST) that appears to be extremely broad, diverse, fluid and obscure. There is no precise definition of GST. Unlike many other theories, GST cannot be expressed exhaustively in one or several sentences. A number of phrases widely used in systems literature, such as ‘general systems theory’, ‘systems approach’, ‘systems perspective’, ‘systems research’, ‘systems movement’, ‘systems thinking’, ‘systems methodology’, ‘systemics’, ‘systemology’, ‘systems science’, etc. take us to the same area. The systems movement has gathered ideas from many fields, each of those has become strand of GST. Yi Lin (1999: 10-14) mentions classical systems theory, catastrophe theory, compartment theory, cybernetics, fuzzy mathematics, game theory, genetic algorithms, graph theory, information theory, Navier- Stokes equation and chaos, networks, set theory, simulation, statistics, theory of automata etc. as several strands of GST. The systems ideas have become so fluid that those can reach in any area of intellectual endeavor without any remarkable success. Therefore, the question arises what systems movement really is? The need arises to conceptualize its philosophy, delineate its area, specify objectives, work out methodology and finally put it into practice.
    [Show full text]
  • Reflexive Autopoietic Dissipative Special Systems Theory
    Reflexive Autopoietic Dissipative Special Systems Theory Reflexive Autopoietic Dissipative Special Systems Theory: An Approach to Emergent Meta-systems through Holonomics Kent D. Palmer, Ph.D. P.O. Box 1632 Orange CA 92856 USA 714-633-9508 [email protected] Copyright 2000 K. Palmer. [TXu884397] All Rights Reserved. Not for distribution. Review Copy Only. Unfinished Draft. Version 0.49; 01/19/2000 rastnewY.fm First submitted to IJGS 11/01/95 Latest version at URL http://dialog.net:85/homepage/autopoiesis.html http://server.snni.com:80/~palmer/autopoiesis.html 1 Reflexive Autopoietic Dissipative Special Systems Theory 0. Summary: A newly discovered approach to extending General Systems Theory as defined by George Klir through a set of Special Systems is described. General Systems Theory is distinguished from the theory of Meta-systems. Then, a hinge of three special systems is identified between systems and meta-systems. These special systems are defined by algebraic analogies. Anomalous physical phenomena are specified that exemplify the structures defined by the algebraic analogies. The extraordinary efficacious properties of these special systems are explained. These include ultra-efficiency and ultra-effectiveness. These three special systems are called dissipative, autopoietic, and reflexive. They are anomalous within general systems theory and provide a bridge between the theory of systems and the theory of recursive meta-systems. This extension of Systems Theory allows us to move step by step through a series of emergent levels up to a comprehensive Meta-systems Theory. In that theory the different special systems fit together to produce the inverse of General Systems Theory which is called Emergent Meta-systems Theory.
    [Show full text]
  • Evidence Sets and Contextual Genetic Algorithms Exploring Uncertainty, Context, and Embodiment in Cognitive and Biological Systems
    EVIDENCE SETS AND CONTEXTUAL GENETIC ALGORITHMS EXPLORING UNCERTAINTY, CONTEXT, AND EMBODIMENT IN COGNITIVE AND BIOLOGICAL SYSTEMS Embodiment 6HOHFWHG6HOI 2UJDQL]DWLRQ (YROXWLRQDU\ &RQVWUXFWLYLVP Semiosis Evolution Semantics Syntax Pragmatics By LUIS MATEUS ROCHA Licentiate, Instituto Superior Técnico, Lisboa, Portugal DISSERTATION Submitted in partial fulfillment of the requirements for the degree of Doctor in Philosophy in Systems Science in the Graduate School Binghamton University State University of New York 1997 © Copyright by Luis Mateus Rocha 1997 All Rights Reserved ii Accepted in partial fulfillment of the requirements for the degree of Doctor in Philosophy in Systems Science in the Graduate School Binghamton University State University of New York 1997 Dr. George Klir May 3, 1997 Department of Systems Science and Industrial Engineering Dr. Howard Pattee May 3, 1997 Department of Systems Science and Industrial Engineering Dr. Eileen Way May 3, 1997 Philosophy Department Dr. John Dockery May 3, 1997 Defense Information Systems Agency iii Abstract This dissertation proposes a systems-theoretic framework to model biological and cognitive systems which requires both self-organizing and symbolic dimensions. The framework is based on an inclusive interpretation of semiotics as a conceptual theory used for the simulation of complex systems capable of representing, as well as evolving in their environments, with implications for Artificial Intelligence and Artificial Life. This evolving semiotics is referred to as Selected Self-Organization
    [Show full text]
  • Toward a Classification of General Systems Theory Concepts: the Categorization of Vocabulary Components and Their Su Age Patterns in the Literature
    Louisiana State University LSU Digital Commons LSU Historical Dissertations and Theses Graduate School 1982 Toward a Classification of General Systems Theory Concepts: the Categorization of Vocabulary Components and Their sU age Patterns in the Literature. Stephanie S. Robbins Louisiana State University and Agricultural & Mechanical College Follow this and additional works at: https://digitalcommons.lsu.edu/gradschool_disstheses Recommended Citation Robbins, Stephanie S., "Toward a Classification of General Systems Theory Concepts: the Categorization of Vocabulary Components and Their sU age Patterns in the Literature." (1982). LSU Historical Dissertations and Theses. 3771. https://digitalcommons.lsu.edu/gradschool_disstheses/3771 This Dissertation is brought to you for free and open access by the Graduate School at LSU Digital Commons. It has been accepted for inclusion in LSU Historical Dissertations and Theses by an authorized administrator of LSU Digital Commons. For more information, please contact [email protected]. INFORMATION TO USERS This reproduction was made from a copy of a document sent to us for microfilming. While the most advanced technology has been used to photograph and reproduce •this document, the quality of the reproduction is heavily dependent upon the quality of the material submitted. The following explanation of techniques is provided to help clarify markings or notations which may appear on this reproduction. 1.The sign or “target” for pages apparently lacking from the document photographed is “Missing Page(s)”. If it was possible to obtain the missing page(s) or section, they are spliced into the film along with adjacent pages. This may have necessitated cutting through an image and duplicating adjacent pages to assure complete continuity.
    [Show full text]