Prerational Intelligence: Adaptive Behavior and Intelligent Systems Without Symbols and Logic: 26 - Rilegato

Rilegato

ISBN 10: 0792366662 ISBN 13: 9780792366669

Casa editrice: Kluwer Academic Pub, 2000

Riassunto

The present book is the product of conferences held in Bielefeld at the Center for interdisciplinary Sturlies (ZiF) in connection with a year-long ZiF Research Group with the theme "Prerational intelligence". The premise ex­ plored by the research group is that traditional notions of intelligent behav­ ior, which form the basis for much work in artificial intelligence and cog­ nitive science, presuppose many basic capabilities which are not trivial, as more recent work in robotics and neuroscience has shown, and that these capabilities may be best understood as ernerging from interaction and coop­ eration in systems of simple agents, elements that accept inputs from and act upon their surroundings. The main focus is on the way animals and artificial systems process in­ formation about their surroundings in order to move and act adaptively. The analysis of the collective properties of systems of interacting agents, how­ ever, is a problern that occurs repeatedly in many disciplines. Therefore, contributions from a wide variety of areas have been included in order to obtain a broad overview of phenomena that demoostrate complexity arising from simple interactions or can be described as adaptive behavior arising from the collective action of groups of agents. To this end we have invited contributions on topics ranging from the development of complex structures and functions in systems ranging from cellular automata, genetic codes, and neural connectivity to social behavior and evolution. Additional contribu­ tions discuss traditional concepts of intelligence and adaptive behavior. 1.

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Contenuti

Preface. Part I: Introduction to Volume 1. Introduction to Volume 1; H. Cruse, et al. Part II: Intelligence and Prerational Intelligence. Introduction to Part II; P. Lanz. The Concept of Intelligence in Psychology and Philosophy; P. Lanz. Rational Behaviour of Animals and Machines; D. McFarland. The Concept of Intelligence in AI; I. Wachsmuth. Part III: A Case Study. The Jamming Avoidance Response (JAR) of the Electric Fish, Eigenmannia: The Processing of Sensory Information and Motor Control; W. Heiligenberg. Part IV: Intelligent Sensing. Introduction to Part IV; H.-U. Bauer, et al. Peripheral Sensory Modules Controlling Motor Behavior; F. Clarac, et al. Antennal Movements in the Honeybee: How Complex Tasks are Solved by a Simple Neuronal System; J. Erber, B. Pribbenow. Invariances in Visual Systems of Robots and Animals: Functional and Architectural Consequences; G. Hartmann. Retinal Coding for Vernier Acuity and Motion; C. Wehrhahn. Is There Parallel Binding of Distributed Objects? H.-U. Bauer, J. Braun. Synthesizing Complex Perceptions: I. Concepts of Visual Feature Associations Based on Neural Synchronization and Related Experimental Results in the Visual Cortex; R. Eckhorn, M. Stöcker. Synthesizing Complex Perceptions: II. Models of Visual Feature Associations Based on Neural Synchronization; M. Stöcker, R. Eckhorn. A Neurally-Inspired Approach to 3-D Visual Object Recognition; B.W. Mel. Modelling the Formation of Sensory Representations in the Brain; K. Obermayer. Part V: Intelligent Motor Output/Sensorimotor Coupling. Low Level:- Introduction to Part V; H. Cruse, et al. Distributed Processing vs. Dedicated Neurons in the Production of Simple Behavioral Acts; W.B. Kristan, Jr. Flexibility of a Proprioceptive Feedback System Results From Its `Parliamentary' (Distributed) Organization; A. Büschges, et al. Load Detectors and Their Reflexes During Gait in Cat and Man; J. Duysens. Coordination of Redundant Manipulators: Reduction of Degrees of Freedom; S. Gielen. Movement Organization in the Frog Spinal Cord: Prerational Intelligence? S. Giszter, W. Kargo. High-Level:- The Neurobiological Roots of Rational Thinking; J. Paillard. A Behaviour-Based Controller Architecture for Reactive Underwater Robots; J. Ayers. Control of Movement is Distributed and Heterarchical; A.H. Cohen. Locomotion in Insects: Patterns Generated by Interacting Oscillators; J. Dean. A Modular Artificial Neural Net for Controlling a Six-Legged Walking System; H. Cruse, et al. The Control System of the Six-Legged TUM Walking Robot; J. Steuer, et al. An Arbitrary Architecture for an Artificial Arthropod; B. Webb. List of Authors. Subject Index. Author Index. Preface. Part VI: Introduction to Volume 2. Introduction to Volume 2; H. Ritter, et al. Part VII: Organization and Architectures. Introduction to Part VII; H. Ritter, et al. Representation of Space and Time in Motor Control; P. Morasso, V. Sanguineti. A Schema-Theory Approach to Specifying and Analyzing the Behavior of Robot Systems; D.M. Lyons. Where Neural Nets Make Sense in Robotics; G. Schweitzer, Jianyong Wen. A Bi-Directional Theory Approach to Prerational Intelligence; M. Kawato. MMC - A Holistic System for a Nonsymbolic Internal Body Representation; U. Steinkühler, et al. Locomotion in Machines: Approaches to Coordination in Machines Past and Present; O.E. Holland. Constructing Modular Architectures With Boltzmann Machines; H.J. Kappen. Modularization by Cascading Neural Networks; E. Littmann, H. Ritter. Learning About Aggression; J.R.P. Halperin. Pleasure, the Prerational Intelligence; M. Cabanac. Part VIII: Theoretical Approaches. Introduction to Part VIII; H. Braun, G. Schöner. What Can We Learn From Dynamic Models of Rhythmic Behavior in Animals and Humans? G. Schöner. On Behaviour as Dissipative Structures in Agent-Environment Interaction Systems; T. Smithers. Environmental Influences and Intrinsic Dynamics in Adaptive Behavior; R.D. Beer. Is it Possible to Demonstrate Self-Organization in the Functioning of the Nervous System? M. Wadepuhl. Evolution - A Paradigm for Constructing Intelligent Agents; H. Braun. A Computational Model for Functional Evolution; U. Tangen. On the Double Plasticity of Complex Adaptive Systems; H. Bersini. Schemas and Genetic Programming; A. Birk, W.J. Paul. Part IX: Navigation. Introduction to Part IX; H. Ritter. Cheap Designs: Exploiting the Dynamics of the System-Environment Interaction. Three Case Studies on Navigation; R. Pfeifer, M. Maris. Spatial Representations in Mammals as Topological Networks; B. Poucet, et al. View-Based Navigation: Obstacle Avoidance and Maze Exploration; H.A. Mallot. The Ant's Path Integration System: A Neural Architecture; G. Hartmann, R. Wehner. Learning in Bees and Wasps in Complicated Experimental Tasks; G.A. Mazokhin-Porshnyakov, V.M. Kartsev. The Cognitive Development of an Autonomous Behaving Artifact: The Self-Organization of Categorization, Sequencing, and Chunking; P.F.M.J. Verschure. Self-Supervised and Supervised Acquisition of Smooth Sensory-Motor Competences in Mobile Robots; U. Nehmzow. Towards Concept Formation Grounded on Perception and Action of a Mobile Robot; V. Klingspor, K. Morik. Part X: Cooperation of Autonomous Agents and Emergent Behavior. Introduction to Part X; D. McFarland, R. Beckers. From Local Interactions to Collective Intelligence; M.J. Matarić. Electronic Sound Creatures; F. Hess. From Local Actions to Global Tasks: Stigmergy and Collective Robotics; R. Beckers, O.W. Holland. Cellular Robotic System - Modularity and Self-Organization of the Intelligent Robotic System; T. Fukuda, et al. Evolution of Empathy as a Source of Human Altruism; A. Gierer. Part XI: Plasticity and Learning. Introduction to Part XI; H. Braun, H. Ritter. Nonparametric Regression for Learning Nonlinear Transformations; S. Schaal. Rapid Learning for Robot Vision and Control; J. Walter, H. Ritter. Adaptive Behavior and Learning: How Cognitive Processing and Social Interaction Might Affect Allospecific Vocal Learning In Grey Parrots (Psittacus erithacus); I.M. Pepperberg. Conditions for Cognition; P. Dayan. Neural Basis for Learning Motor Skills in Mammals; H. Asanuma. Evidence for Perceptual Learning in Vision; C. Wehrhahn. Neural Predictors for Detecting and Removing Redundant Information; J. Schmidhuber. Combining Uni-Modal Classifiers to Improve Learning; V.R. de Sa. The Use of Being Stubborn and Introspective; T. Heskes. Sensorimotor Mechanisms and Learning in the Locust Flight System; B. Möhl. Combining Elementary Functions: Learning Approaches; T. Wengerek, H. Ritter. List of Authors. Subject Index. Author Index. Preface. Introduction to Volume 3; J. Dean, et al. Biological Perspectives on Prerational Intelligence; J. Dean, et al. Prerational Intelligence from the Perspective of Psychology; B. Bridgeman, et al. Prerational Intelligence from the Perspectives of Robotics and Engineering; H. Ritter. Computer Science Perspectives on Prerational Intelligence; H. Braun. Mathematical Perspectives on Prerational Intelligence; H. Ritter, H.-U. Bauer. Philosophical Perspectives on Representation, Goals, and Cognition; P. Lanz, D. McFarland. General Conclusions and Outlook for Future Work; H. Cruse, et al. Glossary. List of Authors. Subject Index. Author Index.

Dettagli dell?edizione

• Editore: Kluwer Academic Pub
• Data di pubblicazione: 2000
• Lingua: Inglese
• ISBN 10: 0792366662
• ISBN 13: 9780792366669
• Rilegatura: Copertina rigida
• Numero di pagine: 1611
• Redattore: Cruse Holk, Dean Jeffrey, Ritter Helge
• Contatto del produttore: non disponibile
• Persona responsabile: CMN Printpool Inh. Mathis Neumann; https://www.also.com/ec/cms5/en_6000/6000/index.jsp; ; Friedrich-Karl-Str. 9; Hamburg; Germania