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Synergetic Computers and Cognition by Hermann Haken Pdf
This book presents a novel approach to neural nets and thus offers a genuine alternative to the hitherto known neuro-computers. The new edition includes a section on transformation properties of the equations of the synergetic computer and on the invariance properties of the order parameter equations. Further additions are a new section on stereopsis and recent developments in the use of pulse-coupled neural nets for pattern recognition.
Synergetic Computers and Cognition by Hermann Haken Pdf
This book presents a novel approach to neural nets and thus offers a genuine alternative to the hitherto known neuro-computers. The new edition includes a section on transformation properties of the equations of the synergetic computer and on the invariance properties of the order parameter equations. Further additions are a new section on stereopsis and recent developments in the use of pulse-coupled neural nets for pattern recognition.
Principles of Brain Functioning by Hermann Haken Pdf
It is increasingly being recognized that the experimental and theoretical study of the complex system brain requires the cooperation of many disciplines, in cluding biology, medicine, physics, chemistry, mathematics, computer science, linguistics, and others. In this way brain research has become a truly interdis ciplinary endeavor. Indeed, the most important progress is quite often made when different disciplines cooperate. Thus it becomes necessary for scientists to look across the fence surrounding their disciplines. The present book is written precisely in this spirit. It addresses graduate students, professors and scientists in a variety of fields, such as biology, medicine and physics. Be yond its mathematical representation the book gives ample space to verbal and pictorial descriptions of the main and, as I believe, fundamental new insights, so that it will be of interest to a general readership, too. I use this opportunity to thank my former students, some of whom are my present co-workers, for their cooperation over many years. Among them I wish to mention in particular M. Bestehorn, L. Borland, H. Bunz, A. Daf fertshofer, T. Ditzinger, E. Fischer, A. Fuchs, R. Haas, R. Honlinger, V. Jirsa, M. Neufeld, M. Ossig, D. Reimann, M. Schanz, G. Schoner, P. Tass, C. Uhl. My particular thanks go to R. Friedrich and A. Wunderlin for their constant help in many respects. Stimulating discussions with a number of colleagues from a variety of fields are also highly appreciated.
The Computer and the Mind by Philip Nicholas Johnson-Laird Pdf
In a field choked with seemingly impenetrable jargon, Philip N. Johnson-Laird has done the impossible: written a book about how the mind works that requires no advance knowledge of artificial intelligence, neurophysiology, or psychology. The mind, he says, depends on the brain in the same way as the execution of a program of symbolic instructions depends on a computer, and can thus be understood by anyone willing to start with basic principles of computation and follow his step-by-step explanations. The author begins with a brief account of the history of psychology and the birth of cognitive science after World War II. He then describes clearly and simply the nature of symbols and the theory of computation, and follows with sections devoted to current computational models of how the mind carries out all its major tasks, including visual perception, learning, memory, the planning and control of actions, deductive and inductive reasoning, and the formation of new concepts and new ideas. Other sections discuss human communication, meaning, the progress that has been made in enabling computers to understand natural language, and finally the difficult problems of the conscious and unconscious mind, free will, needs and emotions, and self-awareness. In an envoi, the author responds to the critics of cognitive science and defends the computational view of the mind as an alternative to traditional dualism: cognitive science integrates mind and matter within the same explanatory framework. This first single-authored introduction to cognitive science will command the attention of students of cognitive science at all levels including psychologists, linguists, computer scientists, philosophers, and neuroscientists--as well as all readers curious about recent knowledge on how the mind works.
Dynamics, Synergetics, Autonomous Agents by W Tschacher,J-P Dauwalder Pdf
This volume focuses on the modeling of cognition, and brings together contributions from psychologists and researchers in the field of cognitive science. The shared platform of this work is to advocate a dynamical systems approach to cognition. Several aspects of this approach are considered here: chaos theory, artificial intelligence and Alfie models, catastrophe theory and, most importantly, self-organization theory or synergetics. The application of nonlinear systems theory to cognitive science in general, and to cognitive psychology in particular, is a growing field that has gained further momentum thanks to new contributions from the science of robotics. The recent development in cognitive science towards an account of embodiment, together with the general approach of complexity theory and dynamics, will have a major impact on our psychological understanding of reasoning, thinking and behavior. Contents: Theory and Concepts:Synergetics and Some Applications to Psychology (H Haken)Defending the Dynamical Hypothesis (T van Gelder)From Continuous Dynamics to Symbols (H Jaeger)On Measures for Order and Its Relation to Complexity (J Shiner et al.)Synergetics of Human Creativity (H Knyazeva & H Haken)Dynamical Concepts in Cognitive Psychology:Situated Cognition, Ecological Perception, and Synergetics: A Novel Perspective for Cognitive Psychology? (W Tschacher & J-P Dauwalder)Attitudes and the Self as Self-Organising Systems (R Eiser)An Affect-Centered Model of the Psyche and Its Consequences for a New Understanding of Nonlinear Psychodynamics (L Ciompi)Formation and Adaptation of Schemata (T Bröcker & J Kriz)Simulations of Stagewise Development with a Symbolic Architecture (F Gobet)Autonomous Agents:The Embodied Cognitive Science Approach (C Scheier & R Pfeifer)A Computational Model of Spatial Development (K Hiraki et al.)Societies of Autonomous Agents and Their Reorganization (N Glaser & P Morignot)Investigations into Internal and External Aspects of Dynamic Agent-Environment Couplings (K Dautenhahn)A Formal Theory of Collective Intelligence (W Sulis)Empirical Studies:The Detection of Catastrophe Flags in Personally Relevant Decisions (M Coulson & S Nunn)Synergetic Organization in Speech Rhythm (F Cummins)Exploring the Dynamics of Personality Change with Time Series Models (F Keller et al.)Hierarchical Dynamics Affecting Work Performance in Organizations (S J Guastello) Readership: Psychologists, cognitive scientists, computer scientists, philosophers and biologists. Keywords:Artificial Intelligence (AI);Autonomous Agents;(Embodied) Cognition;(Situated) Cognition;Dynamical Systems;Dynamics;Embodiment;Psychology;Robot;Self-Organization;Synergetics
Information Adaptation: The Interplay Between Shannon Information and Semantic Information in Cognition by Hermann Haken,Juval Portugali Pdf
This monograph demonstrates the interplay between Shannon information and semantic information in cognition. It shows that Shannon’s information acts as driving force for the formation of semantic information; and vice versa, namely, that semantic information participates in the formation of Shannonian information. The authors show that in cognition, Shannonian and semantic information are interrelated as two aspects of a cognitive process termed as information adaptation. In the latter the mind/brain adapts to the environment by the deflating and/or inflating of the information conveyed by the environment. In the process of information adaptation, quantitative variations in Shannon’s information entail different meanings while different meanings affect the quantity of information. The book illustrates the above conceptually and mathematically by reference to three cognitive processes: pattern recognition, face learning and the recognition of a moving object.
Cognitive Science and Its Applications for Human-computer Interaction by Raymonde Guindon Pdf
The field of human-computer interaction is striving to provide the conceptual foundations for designing computer tools and the environment needed to perform increasingly more complex and specialized tasks. To achieve this goal, human computer interaction must rely on the meeting of specialized, expert minds. Each of the research projects presented in this book investigate some critical question on the path of progress in human-computer interaction. These projects would not have been feasible without the multidisciplinary of the research team or of the researchers themselves.
Collective Intelligence in Computer-Based Collaboration by John B. Smith Pdf
Proposing a new paradigm for Computer Supported Cooperative Work (CSCW), this ground-breaking book presents a research agenda for developing and testing that paradigm. It constitutes the first attempt to outline a comprehensive model of collaboration that integrates the cognitive/conceptual and social dynamics of groups. The challenge faced by all groups engaged in intellectual work is, on the one hand, to divide the task so that efforts of individual members may proceed in parallel and, on the other hand, to synthesize their separate contributions to form a coherent whole. Addressing this challenge, Smith examines the general form of a theory of computer-based collaboration that extends across different tasks and working situations. He uses the work of Newell, Simon, and Anderson as a base from which to consider a group as a form of distributed information processing system. Within groups, there are constructs analogous to human long-term and short-term memory, conceptual processes, and problem solving and knowledge-construction strategies. He discusses two metacognitive issues -- awareness and control -- as they occur in collaborative behavior. And he reviews a number of advanced computer systems that support collaboration, focusing on their impact on the thinking and behavior of groups. Smith's theoretical framework combines elements of Information Processing System theory -- and its detailed process models of cognitive behavior -- with the situated perspective of activity theory. The book suggests new and useful ways of conceiving problems and solutions to all those interested in the ways in which people interact with each other and with computers to achieve goals.
What function is played by concepts related to meaning and mereology in the cognitive sciences? How can one outline adequate simulation models for the continuous emergence of new categorization forms characterizing cognitive processes? To what extent is it possible to define new measures of meaningful complexity? How is it possible to describe synergetically the symbolic dynamics inherent in cognitive processes? What types of formal models should we use to describe the evolutionary aspects of cognition? These, the most difficult questions in cognitive science, are discussed here in 15 original essays written by distinguished scholars drawn from a variety of disciplines. The first part presents an up-to-date account of some current trends in the functional modeling of cognitive activities, the synergetic models in particular are widely discussed. The second part focuses on recent advances in complexity theory, self-organizing networks, the theory of self- reference, and the theory of self organization. The third part focuses on some methods of formal analysis that can be used to delineate consistent simulation models of cognitive activities at the perceptual, linguistic and computational levels. The volume also highlights traditional philosophical concerns about realism, the cognitivism-connectionism debate, and the role of holistic assumptions. Readership: psychologists, cognitive scientists, theorists working in complexity theory, self-organization theory, synergetics, semantics of natural language and mereology, philosophers, epistemologists.
Current computer technology doubles in in power roughly every two years, an increase called "Moore's Law." This constant increase is predicted to come to an end soon. Digital technology will change. Although digital computers dominate today's world, there are alternative ways to "compute" which might be better and more efficient than digital computation. After Digital looks at where the field of computation began and where it might be headed, and offers predictions about a collaborative future relationship between human cognition and mechanical computation. James A. Anderson, a pioneer of biologically inspired neural nets, presents two different kinds of computation-digital and analog--and gives examples of their history, function, and limitations. A third, the brain, falls somewhere in between these two forms, and is suggested as a computer architecture that is more capable of performing some specific important cognitive tasks-perception, reasoning, and intuition, for example- than a digital computer, even though the digital computer is constructed from far faster and more reliable basic elements. Anderson discusses the essentials of brain hardware, in particular, the cerebral cortex, and how cortical structure can influence the form taken by the computational operations underlying cognition. Topics include association, understanding complex systems through analogy, formation of abstractions, the biology of number and its use in arithmetic and mathematics, and computing across scales of organization. These applications, of great human interest, also form the goals of genuine artificial intelligence. After Digital will appeal to a broad cognitive science community, including computer scientists, philosophers, psychologists, and neuroscientists, as well as the curious science layreader, and will help to understand and shape future developments in computation.
Complexity, Cognition and the City by Juval Portugali Pdf
Complexity, Cognition and the City aims at a deeper understanding of urbanism, while invoking, on an equal footing, the contributions both the hard and soft sciences have made, and are still making, when grappling with the many issues and facets of regional planning and dynamics. In this work, the author goes beyond merely seeing the city as a self-organized, emerging pattern of some collective interaction between many stylized urban "agents" – he makes the crucial step of attributing cognition to his agents and thus raises, for the first time, the question on how to deal with a complex system composed of many interacting complex agents in clearly defined settings. Accordingly, the author eventually addresses issues of practical relevance for urban planners and decision makers. The book unfolds its message in a largely nontechnical manner, so as to provide a broad interdisciplinary readership with insights, ideas, and other stimuli to encourage further research – with the twofold aim of further pushing back the boundaries of complexity science and emphasizing the all-important interrelation of hard and soft sciences in recognizing the cognitive sciences as another necessary ingredient for meaningful urban studies.
The basic questions addressed in this book are: what is the computational nature of cognition, and what role does it play in language and other mental processes?; What are the main characteristics of contemporary computational paradigms for describing cognition and how do they differ from each other?; What are the prospects for building cognition and how do they differ from each other?; and what are the prospects for building an artificial intelligence?
The Construction of Cognitive Maps by Juval Portugali Pdf
and processes which are exclusive to humans in their encoding, storing, decoding and retrieving spatial knowledge for various tasks. The authors present and discuss connectionist models of cognitive maps which are based on local representation, versus models which are based on distributed representation, as well as connectionist models concerning language and spatial relations. As is well known, Gibson's (1979) ecological approach suggests a view on cognition which is diametrically different from the classical main stream view: perception (and thus cognition) is direct, immediate and needs no internal information processing, and is thus essentially an external process of interaction between an organism and its external environment. The chapter by Harry Heft introduces J. J. Gibson's ecological approach and its implication to the construction of cognitive maps in general and to the issue of wayfinding in particular. According to Heft, main stream cognitive sciences are essentially Cartesian in nature and have not as yet internalized the implications of Darwin's theory of evolution. Gibson, in his ecological approach, has tried to do exactly this. The author introduces the basic terminology of the ecological approach and relates its various notions, in particular optic flow, nested hierarchy and affordances, to navigation and the way routes and places in the environment are learned.
Artificial Cognition Systems by Loula, Angelo,Gudwin, Ricardo,Queiroz, Jo?o Pdf
"This book presents recent research efforts in Artificial Intelligence about building artificial systems capable of performing cognitive tasks. A fundamental issue addressed in this book is if these cognitive processes can have any meaningfulness to the artificial system being built"--Provided by publisher.
