Self-Modifying Systems in Biology and Cognitive Science (IFSR International Series on Systems Science and Engineering)

Book Description

The theme of this book is the self-generation of information by the self-modification of systems. The author explains why biological and cognitive processes exhibit identity changes in the mathematical and logical sense. This concept is the basis of a new organizational principle which utilizes shifts of the internal semantic relations in systems. There are mathematical discussions of various classes of systems (Turing machines, input-output systems, synergetic systems, non-linear dynamics etc), which are contrasted with the author's new principle. The most important implications of this include a new conception on the nature of information and which also provides a new and coherent conceptual view of a wide class of natural systems. This book merits the attention of all philosophers and scientists concerned with the way we create reality in our mathematical representations of the world and the connection those representations have with the way things really are.

Customer Reviews:

Sophisticated model of complexity.......2005-03-16

The theme that Kampis examines in Self-Modifying Systems is the self-generation of information by the nontrivial change (self-modification) of systems. Such a system is a network of many components, which have the property of being able to transform each other and organising themselves into larger components. It is this feature that makes such component systems closed to efficient cause. Component-systems, then, are not algorithmic, but this is not a reversible equation in that component-systems can, Kampis argues, give rise, in fact, to any particular algorithm. Kampis describes the difference as that between known complexity, that is to say complexity-to-be-realised, and unknown complexity, or complexity-to-be-explained. The first of these is relatively easy to realise, the second being impossible in that "a complex operation operating on components and bringing forth yet unknown and unidentified components cannot be described as an algorithm" (Kampis 1991:239).
Component-systems, therefore, have a high degree of creativity, but they also have characteristics that avoid many of the problems that other forms of nonlinear models.Kampis argues that nothing that such a process gives rise to can be predicted before hand, and no identity can be traced back to an origin. From this, Kampis states that the creation thesis emerges. This thesis can be stated in the following way:
The organisation of the world is continually self-creating; this process is at any given stage incomplete. Information about the future is not only inaccessible but does not exist in any form. Creation is a basic and general phenomenon that cannot be explained logically. (Kampis 1991: 258).
Self-creation occurs in the form of self-modification. A system that exhibits creativity, then, has to be continually redefined because, in the course of time, all variables and their interrelations will change in so far as each component is replaced by another. It is a system which will be defined (and constructed) by the very processes it undergoes. (Kampis 1991: 490).
The book unfolds, then, as a wonderfully sophisticated model to account for the very process of change and the important limitations of prediction the process of change implies. This book deserves to be one of the key texts of autopoiesis.

The implications of self-modifying systems.......2003-10-12

As another reviewer notes, this book will be very helpful to those interested in the complexity research of theoretical biologist Robert Rosen. Whereas Rosen has a tight, highly rigorous focus on his goal in "Life Itself", Kampis paints on a somewhat broader canvas, referencing the work of many other researchers (including Rosen). However, Kampis is similarly detailed and methodical.

Kampis first describes the limits of dynamical models, and state-based approaches, including the limitations inherent in the 'canonical formalism' of mechanics.

He then goes on to introduce 'component-systems'. This is a general formal representation of a system as being composed of some number of components out of an essentially unlimited number of possible components. In component systems, the "rules" for the dynamics of the system are not independent of the components themselves. Self-modifying component systems generate new components and delete others, thereby changing the identity of the system itself. In mathematical terms, a self-modifying system is like a function f that belongs to its own domain and range ("f:f-->f"). The result is that such systems are non-algorithmic, nor are their dynamics describable in a state-based formalism (e.g., Newtonian, Hamiltonian, etc.). This has notable consequences for approaches that attempt to treat such systems as algorithmic, or via modelling their state-based dynamics. By comparison to component systems, cellular automata and similar algorithmic formal systems are entirely trivial.

Kampis devotes many chapters to what I have cursorily mentioned, and there is much, much more in this book that is worth reading. Although there is not alot of math, what is there is important to understand. It would be helpful for the interested reader to generally understand the basic notation of mechanics, first-order differential equations, basic logic, Godel's Incompleteness Theorems, Turing machines, basic set theory, system theory, a modicum of philosophy, and linguistics. Most of these aspects are fairly well-explained, so a diligent reader can pick them up as he goes along.

This is not a book of vague handwaving arguments. It will take some studious effort to read and grasp the concepts and profundity of what he presents. However, it will be well worth the effort, and afterward you will never be able to look at dynamical systems and models, complexity, and self-modifying systems, in the same way.

Although there are alot of similarities between Kampis' and Rosen's works, they are sufficiently distinct in approaches and conclusions that both are well worth reading.

One final note: the "typewriter" font used throughout may be a bit surprising to see in the 21st century, but I found it entirely legible and comfortable once I got used to it.

Self-Reproduction, an oxymoron, must read for complexity.......2002-04-11

George Kampis follows in the ground breaking tradition of Robert Rosen. Examines the notions of reproduction and construction. His scope is wide and through. A must read for anybody interested in Rosen complexity.

Computational Intelligence In Software Quality Assurance (Series in Machine Perception & Artifical Intelligence) (Series in Machine Perception & Artifical Intelligence)

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Computational Intelligence In Software Quality Assurance (Series in Machine Perception & Artifical Intelligence) (Series in Machine Perception & Artifical Intelligence)
S. Dick , and A. Kandel
Manufacturer: World Scientific Publishing Company
ProductGroup: Book
Binding: Hardcover

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ASIN: 9812561722

Product Description

Software systems surround us. Software is a critical component in everything from the family car through electrical power systems to military equipment. As software plays an ever-increasing role in our lives and livelihoods, the quality of that software becomes more and more critical. However, our ability to deliver high-quality software has not kept up with those increasing demands. The economic fallout is enormous; the US economy alone is losing over US$50 billion per year due to software failures. This book presents new research into using advanced artificial intelligence techniques to guide software quality improvements. The techniques of chaos theory and data mining are brought to bear to provide new insights into the software development process. Written for researchers and practitioners in software engineering and computational intelligence, this book is a unique and important bridge between these two fields.

Computational Intelligence in Time Series Forecasting: Theory and Engineering Applications (Advances in Industrial Control)

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Research based book

Computational Intelligence in Time Series Forecasting: Theory and Engineering Applications (Advances in Industrial Control)
Ajoy K. Palit , and Dobrivoje Popovic
Manufacturer: Springer
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Accessories:

Intermediate Robot Building
Introduction to Evolutionary Computing (Natural Computing Series)
Artificial General Intelligence (Cognitive Technologies)

ASIN: 1852339489

Book Description

Foresight can be crucial in process and production control, production-and-resources planning and in management decision making generally. Although forecasting the future from accumulated historical data has become a standard and reliable method in production and financial engineering, as well as in business and management, the use of time series analysis in the on-line milieu of most industrial plants has been more problematic because of the time and computational effort required.

The advent of intelligent computational technologies such as the neural network and the genetic algorithm promotes the efficient solution of on-line forecasting problems. Their most outstanding successes include:

prediction of nonlinear time series and the nonlinear combination of forecasts using neural networks;
prediction of chaotic time series and of output data for second-order nonlinear plant using fuzzy logic.

The power of intelligent technologies applied individually and in combination, has created advanced forecasting methodologies, exemplified in Computational Intellingence in Time Series Forecasting by particular systems and processes. The authors give a comprehensive exposition of the improvements on offer in quality, model building and predictive control, and the selection of appropriate tools from the plethora available using such examples as:

forecasting of electrical load and of output data for nonlinear plant with neuro-fuzzy networks;
temperature prediction and correction in pyrometer reading, tool-wear monitoring and materials property prediction using hybrid intelligent technologies;
evolutionary training of neuro-fuzzy networks by the use of genetic algorithms and prediction of chaotic time series;
isolated use of neural networks and fuzzy logic in the nonlinear combination of traditional forecasts of temperature series obtained from a pilot-scale chemical reactor with temporarily disconnected controller.

Application-oriented engineers in process control, manufacturing, the production industries and research centres will find much to interest them in Computational Intelligence in Time Series Forecasting and the book is suitable for industrial training purposes. It will also serve as valuable reference material for experimental researchers.

Customer Reviews:

Research based book.......2006-02-19

For the novice reader in this field of expertise this book is well suited. It does not mean that this book is not extensively explained, but the book is easy to understand since it is going step by step through many research result examples conducted in clear way. The author intended the book to be finished within approximately few weeks of intensively reading,and some prior knowledges. The presentation is awesome and includes up-to-date notions, namely Neural Network approach, Fuzzy Logic perspective and Evolutionary Computing as well. The Evolutionary Computing contains Genetic Algorithm, Genetic Programming, Evolutionary Strategy, Evolutionary Programming and Differential Evolution. The four last notions are left in concise for some reasons. Furthermore, the Hybrid method,i.e. Neuro-Fuzzy, is explained completely by many research results exploiting the robustness of Takagi-Sugeno fuzzy inference system applied with Mackey-Glass Chaotic time series and Wang data nonlinear inputs. The most recent developments are presented in some pages including Wavelet Networks, Fractal Based Network and Fuzzy Clustering.

However, this book is intended for postgraduate student, scientist and industrial workers in area of control, pattern recognition, robotic and many more.

Innovations in Robot Mobility and Control (Studies in Computational Intelligence)

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Innovations in Robot Mobility and Control (Studies in Computational Intelligence)

Manufacturer: Springer
ProductGroup: Book
Binding: Hardcover

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ASIN: 3540268928

Book Description

There exists quite a vast literature on mobile robots, covering fundamental principles on motion control and path-planning in indoor environments using ultrasonic/laser transducers. However, there is a scarcity of books/collective documents on vision based navigation of mobile robots and multi-agent systems. The book fills this gap and attempts to develop interesting models for vision based map building in indoor and outdoor environments, precise motion control, navigation in dynamic environment, and above all multi-agent co-operation of robots. The most important aspect of this book is that the principles and models introduced in the text are all field-tested, and thus can readily be used in solving real world problems, such as factory automation, disposal of nuclear wastes, landmine clearing and computerized surgery. Primarily meant for graduate students and researchers in robotics, the book is equally useful to interested audience of any discipline for its contents and simplicity in presentation style.

Design and Analysis of Control Systems (International Series on Computational Intelligence)

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Design and Analysis of Control Systems (International Series on Computational Intelligence)
Arthur G.O. Mutambara
Manufacturer: CRC
ProductGroup: Book
Binding: Hardcover

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ASIN: 084931898X

Book Description

Written to inspire and cultivate the ability to design and analyze feasible control algorithms for a wide range of engineering applications, this comprehensive text covers the theoretical and practical principles involved in the design and analysis of control systems. From the development of the mathematical models for dynamic systems, the author shows how they are used to obtain system response and facilitate control, then addresses advanced topics, such as digital control systems, adaptive and robust control, and nonlinear control systems.

1997 IEEE International Symposium on Computational Intelligence in Robotics and Automation: "Towards New Computational Principles for Robotics and Automation" ... July 10-11, 1997, Monterey, California, USA

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1997 IEEE International Symposium on Computational Intelligence in Robotics and Automation: "Towards New Computational Principles for Robotics and Automation" ... July 10-11, 1997, Monterey, California, USA
Calif.) IEEE International Symposium on Computational Intelligence in Robotics and Automation (1st : 1997 : Monterey
Manufacturer: Institute of Electrical & Electronics Enginee
ProductGroup: Book
Binding: Paperback

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ASIN: 0818681381

2005 International Conference On Computational Intelligence For Modelling Control And Automation (cimca 2005) /international Conference On Intelligent Agents, Web Technologies And Internet Commerce (iawtic 2005) Volume II Only

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2005 International Conference On Computational Intelligence For Modelling Control And Automation (cimca 2005) /international Conference On Intelligent Agents, Web Technologies And Internet Commerce (iawtic 2005) Volume II Only
M. Mohammadian
Manufacturer: IEEE Computer Society
ProductGroup: Book
Binding: Paperback
ASIN: 0769525040

Accuracy Improvements in Linguistic Fuzzy Modeling (Studies in Fuzziness and Soft Computing)

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Accuracy Improvements in Linguistic Fuzzy Modeling (Studies in Fuzziness and Soft Computing)

Manufacturer: Springer
ProductGroup: Book
Binding: Hardcover

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ASIN: 3540029338

Book Description

Fuzzy modeling usually comes with two contradictory requirements: interpretability, which is the capability to express the real system behavior in a comprehensible way, and accuracy, which is the capability to faithfully represent the real system. In this framework, one of the most important areas is linguistic fuzzy modeling, where the legibility of the obtained model is the main objective. This task is usually developed by means of linguistic (Mamdani) fuzzy rule-based systems. An active research area is oriented towards the use of new techniques and structures to extend the classical, rigid linguistic fuzzy modeling with the main aim of increasing its precision degree. Traditionally, this accuracy improvement has been carried out without considering the corresponding interpretability loss. Currently, new trends have been proposed trying to preserve the linguistic fuzzy model description power during the optimization process. Written by leading experts in the field, this volume collects some representative researcher that pursue this approach.

Advances in Applied Artificial Intelligence (Computational Intelligence and Its Applications) (Computational Intelligence and Its Applications)

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Advances in Applied Artificial Intelligence (Computational Intelligence and Its Applications) (Computational Intelligence and Its Applications)

Manufacturer: Idea Group Publishing
ProductGroup: Book
Binding: Hardcover

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ASIN: 159140827X

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Whether any one technology will prove to be the central one in creating artificial intelligence, or whether a combination of technologies will be necessary to create an artificial intelligence is still an open question, so many scientists are experimenting with mixtures of such techniques. In Advances in Applied Artificial Intelligence these questions are implicitly addressed by scientists tackling specific problems which require intelligence in both individual and combinations of specific artificial intelligence techniques.

Book Description

Applied Mathematics for Restructured Electric Power Systems: Optimization, Control, and Computational Intelligence consists of chapters based on work presented at a National Science Foundation workshop organized in November 2003. The theme of the workshop was the use of applied mathematics to solve challenging power system problems. The areas included control, optimization, and computational intelligence. In addition to the introductory chapter, this book includes 12 chapters written by renowned experts in their respected fields. Each chapter follows a three-part format: (1) a description of an important power system problem or problems, (2) the current practice and/or particular research approaches, and (3) future research directions. Collectively, the technical areas discussed are voltage and oscillatory stability, power system security margins, hierarchical and decentralized control, stability monitoring, embedded optimization, neural network control with adaptive critic architecture, control tuning using genetic algorithms, and load forecasting and component prediction.

This volume is intended for power systems researchers and professionals charged with solving electric and power system problems.

Customer Reviews:

a three in one hand book of power systems.......2006-11-05

This Book is a necessary companion of any one who wish to understand the technics and direction of modern power delivery.

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