Novel Approaches in Cognitive Informatics and Natural Intelligence

Novel Approaches in Cognitive Informatics and Natural Intelligence

Yingxu Wang (University of Calgary, Canada)
Indexed In: SCOPUS
Release Date: December, 2008|Copyright: © 2009 |Pages: 396
ISBN13: 9781605661704|ISBN10: 1605661708|EISBN13: 9781605661711|DOI: 10.4018/978-1-60566-170-4

Description

Creating a link between a number of natural science and life science disciplines, the emerging field of cognitive informatics presents a transdisciplinary approach to the internal information processing mechanisms and processes of the brain and natural intelligence.

Novel Approaches in Cognitive Informatics and Natural Intelligence penetrates the academic field to offer the latest advancements in cognitive informatics and natural intelligence. This book covers the five areas of cognitive informatics, natural intelligence, autonomic computing, knowledge science, and relevant development, to provide researchers, academicians, students, and practitioners with a ready reference to the latest findings.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Adaptive neural network
  • Attention mechanism
  • Autonomic computing
  • Cognitive computational knowledge representation theory
  • Cognitive Informatics
  • Cognitive modeling
  • Cognitive process of decision making
  • Cognitive processes of human perception
  • Extended objects
  • Finite state machines
  • Fixpoint semantics
  • Formal inferences
  • Granule network
  • Human information interaction
  • Interactive classification
  • Knowledge science
  • Language, logic, and the brain
  • Memorization process
  • Natural intelligence
  • Neo-symbiosis
  • Selective sparse coding model
  • Spatial Knowledge
  • Trajectory planning

Reviews and Testimonials

The basic characteristic of the human brain is information processing. Informatics is the science of information that studies the nature of information, it's processing, and ways of transformation between information, matter and energy.

– Yingxu Wang, University of Calgary, Canada

Studies the natural intelligence and internal information processing mechanisms of the brain, as well as the processes involved in perception and cognition.

– Book News Inc. (March 2009)

Table of Contents and List of Contributors

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Preface

Cognitive informatics (CI) is a new discipline that studies the natural intelligence and internal information processing mechanisms of the brain, as well as the processes involved in perception and cognition. CI provides a coherent set of fundamental theories, and contemporary mathematics, which form the foundation for most information and knowledge based science and engineering disciplines such as computer science, cognitive science, neuropsychology, systems science, cybernetics, computer/software engineering, knowledge engineering, and computational intelligence.

The basic characteristic of the human brain is information processing. Information is recognized as the third essence supplementing matter and energy to model the natural world. Information is any property or attribute of the natural world that can be distinctly elicited, generally abstracted, quantitatively represented, and mentally processed. Informatics is the science of information that studies the nature of information, it’s processing, and ways of transformation between information, matter and energy.

Cognitive Informatics is the transdisciplinary enquiry of cognitive and information sciences that investigates into the internal information processing mechanisms and processes of the brain and natural intelligence, and their engineering applications via an interdisciplinary approach. In many disciplines of human knowledge, almost all of the hard problems yet to be solved share a common root in the understanding of the mechanisms of natural intelligence and the cognitive processes of the brain. Therefore, CI is a discipline that forges links between a number of natural science and life science disciplines with informatics and computing science.

This book, Novel Approaches in Cognitive Informatics and Natural Intelligence, is the first volume in the IGI Series of Advances in Cognitive Informatics and Natural Intelligence. It covers five parts such as (i) Cognitive Informatics; (ii) Natural Intelligence; (iii) Autonomic Computing; (iv) Knowledge Science; and (v) Relevant Development.

Part I. Cognitive Informatics

A wide range of interesting and ground-breaking progresses has been made in CI, especially the theoretical frameworks of CI and denotational mathematics for CI. This part presents the resent advances in CI on theories, models, methodologies, mathematical means, and techniques toward the exploration of the natural intelligence and the brain, which form the foundations for natural intelligence, neural informatics, autonomic computing, and agent systems.

This part on cognitive informatics encompasses the following five chapters:

  • Chapter 1. The Theoretical Framework of Cognitive Informatics
  • Chapter 2. Is Entropy Suitable to Characterize Data and Signals for Cognitive Informatics?
  • Chapter 3. Cognitive Processes by using Finite State Machines
  • Chapter 4. On the Cognitive Processes of Human Perception with Emotions, Motivations, and Attitudes
  • Chapter 5. A Selective Sparse Coding Model with Embedded Attention Mechanism

    Part II. Natural Intelligence

    Natural intelligence, in the narrow sense, is a human or a system ability that transforms information into behaviors; and in the broad sense, it is any human or system ability that autonomously transfers the forms of abstract information between data, information, knowledge, and behaviors in the brain. The history of human quest to understand the brain and natural intelligence is certainly as long as human history itself. It is recognized that artificial intelligence is a subset of natural intelligence, Therefore, the understanding of natural intelligence is a foundation for investigating into artificial, machinable, and computational intelligence.

    This part on natural intelligence encompasses the following six chapters:

  • Chapter 6. The Cognitive Processes of Formal Inferences
  • Chapter 7. Neo-Symbiosis: The Next Stage in the Evolution of Human Information Interaction
  • Chapter 8. Language, Logic, and the Brain
  • Chapter 9. The Cognitive Process of Decision Making
  • Chapter 10. A Common Sense Approach to Representing Spatial Knowledge between Extended Objects
  • Chapter 11. A Formal Specification of the Memorization Process

    Part III. Autonomic Computing

    The approaches to computing can be classified into two categories known as imperative and autonomic computing. Corresponding to these, computing systems may be implemented as imperative or autonomic computing systems. An imperative computing system is a passive system that implements deterministic, context-free, and stored-program controlled behaviors. While an autonomic computing system is an intelligent system that autonomously carries out robotic and interactive actions based on goal- and event-driven mechanisms. The autonomic computing system implements nondeterministic, context-dependent, and adaptive behaviors. Autonomic computing does not rely on instructive and procedural information, but are dependent on internal status, and willingness that formed by long-term historical events and current rational or emotional goals.

    This part on autonomic computing encompasses the following five chapters:

  • Chapter 12. Theoretical Foundations of Autonomic Computing
  • Chapter 13. Towards Cognitive Machines: Multiscale Measures and Analysis
  • Chapter 14. Adaptive Neural Network for Trajectory Planning
  • Chapter 15. Cognitive Modeling Applied to Aspects of Schizophrenia and Autonomic Computing
  • Chapter 16. Interactive Classification using a Granule Network

    Part IV. Knowledge Science

    Knowledge science is an emerging field that studies the nature of human knowledge, its mathematical model, and its manipulation. Because almost all disciplines of science and engineering deal with information and knowledge, investigation into the generic theories of knowledge science and its cognitive foundations is one of the profound areas of cognitive informatics. Francis Bacon (1561-1626) asserted that “knowledge is power.” In CI, knowledge is recognized as one of the important forms of cognitive information supplement to behaviors, experience, and skills.

    This part on knowledge science encompasses the following five chapters:

  • Chapter 17. A Cognitive Computational Knowledge Representation Theory
  • Chapter 18. A Fixpoint Semantics for Rule-Base Anomalies
  • Chapter 19. Development of an Ontology for an Industrial Domain
  • Chapter 20. Constructivist Learning During Software Development
  • Chapter 21. A Unified Approach to Fractal Dimensions

    Part V. Relevant Development

    A series of the IEEE International Conferences on Cognitive Informatics (ICCI) have organized annually. The inaugural conference was held at Calgary, Canada (ICCI’02), followed by events in London, UK (ICCI’03); Victoria, Canada (ICCI’04); Irvine, USA (ICCI’05); Beijing, China (ICCI’06), Lake Tahoe, USA (ICCI’07), and Stanford University, USA (ICCI’08).

    This part on relevant development encompasses the following two chapters:

  • Chapter 22. Cognitive Informatics - Four Years in Practice: A Report on IEEE ICCI’05
  • Chapter 23. Toward Cognitive Informatics and Cognitive Computers: A Report on IEEE ICCI'06

    A wide range of applications of CI has been identified. The key application areas of CI can be divided into two categories. The first category of applications uses informatics and computing techniques to investigate cognitive science problems, such as memory, learning, and reasoning. The second category adopts cognitive theories to investigate problems in informatics, computing, and software/knowledge engineering. CI focuses on the nature of information processing in the brain, such as information acquisition, representation, memory, retrieve, generation, and communication. Through the interdisciplinary approach and with the support of modern information and neuroscience technologies, mechanisms of the brain and the mind may be systematically explored within the framework of CI.

    Author(s)/Editor(s) Biography

    Yingxu Wang is professor of cognitive informatics, brain science, software science, and denotational mathematics, President of International Institute of Cognitive Informatics and Cognitive Computing (ICIC, www.ucalgary.ca). He is a Fellow of ICIC, a Fellow of WIF (UK), a P.Eng of Canada, and a Senior Member of IEEE and ACM. He was visiting professor (on sabbatical leave) at Oxford University (1995), Stanford University (2008), UC Berkeley (2008), and MIT (2012), respectively. He received a PhD in Computer Science from the Nottingham Trent University in 1998 and has been a full professor since 1994. He is the founder and steering committee chair of the annual IEEE International Conference on Cognitive Informatics and Cognitive Computing (ICCI*CC) since 2002. He is founding Editor-in-Chief of Int. Journal of Cognitive Informatics & Natural Intelligence, founding Editor-in-Chief of Int. Journal of Software Science & Computational Intelligence, Associate Editor of IEEE Trans. on SMC - Systems, and Editor-in-Chief of Journal of Advanced Mathematics & Applications.

    Dr. Wang is the initiator of a few cutting-edge research fields such as cognitive informatics, denotational mathematics (concept algebra, process algebra, system algebra, semantic algebra, inference algebra, big data algebra, fuzzy truth algebra, and fuzzy probability algebra, visual semantic algebra, granular algebra), abstract intelligence (?I), mathematical models of the brain, cognitive computing, cognitive learning engines, cognitive knowledge base theory, and basic studies across contemporary disciplines of intelligence science, robotics, knowledge science, computer science, information science, brain science, system science, software science, data science, neuroinformatics, cognitive linguistics, and computational intelligence. He has published 400+ peer reviewed papers and 29 books in aforementioned transdisciplinary fields. He has presented 28 invited keynote speeches in international conferences. He has served as general chairs or program chairs for more than 20 international conferences. He is the recipient of dozens international awards on academic leadership, outstanding contributions, best papers, and teaching in the last three decades. He is the most popular scholar of top publications at University of Calgary in 2014 and 2015 according to RG worldwide stats.

    Indices

    Editorial Board

    Editor-in-Chief

  • Yingxu Wang, University of Calgary, Canada

    Associate Editors

  • John Bickle, University Of Cincinnati, USA
  • Christine Chan, University of Regina, Canada
  • Witold Kinsner, University of Manitoba, Canada

    Editorial Review Board

  • James Anderson, Brown University, USA
  • Motoei Azuma, Waseda University, Japan
  • Franck Barbier, University of Pau, France
  • Brian H. Bland, University of Calgary, Canada
  • Antony Bryant, Leeds Metropolitan University, UK
  • Keith Chan, Hong Kong Polytechnic University, Hong Kong
  • Michael R.W. Dawson, University of Alberta, Canada
  • Lee Flax, Macquarie University, Sydney, Australia
  • Juan Garbajosa, Technical University of Madrid, Spain
  • Frank L. Greitzer, Pacific Northwest National Lab, USA
  • Brian Henderson-Sellers, University of Technology, Sydney, Australia
  • Yaochu Jin, Honda Research Institute, Europe, Germany
  • Roger K. Moore, University of Sheffield, UK
  • Bernard Moulin, University of Laval, Canada
  • Dilip Patel, South Bank University, London, UK
  • Shushma Patel, South Bank University, London, UK
  • Witold Pedrycz, University of Alberta, Canada
  • Vaclav Rajlich, Wayne State University, USA
  • Fernando Rubio, University Complutense de Madrid, Spain
  • Gunther Ruhe, University of Calgary, Canada
  • Abu Sesay, University of Calgary, Canada
  • Zhongzhi Shi, Chinese Academy of Sciences, China
  • I-Fan Shen, Fudan University, Shanghai, China
  • Philip Sheu, University of California, Irvine, USA
  • Kenji Sugawara, Chiba University, Japan
  • Jeffrey Tsai, University of Illinois in Chicago, USA
  • Athanasios Vasilakos, University of Thessaly, Greece
  • Guoyin Wang, Chongqing University of Posts and Telecoms, China
  • Yingxu Wang, University of Calgary, Canada
  • Yiyu Yao, University of Regina, Canada
  • Du Zhang, California State University, USA
  • Yixin Zhong, Beijing University of Post & Telecoms, China
  • Mengchu Zhou, New Jersey Institute of Technology, USA
  • Xiaolin Zhou, Peking University, China