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Herausgeber: 
  • Günther Palm
  • Stefan Wermter
  • Mark Elshaw
  • Biomimetic Neural Learning for Intelligent Robots: Intelligent Systems, Cognitive Robotics, and Neuroscience 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Juli 2005  
    Genre:  Naturwissensch., Medizin, Technik 
     
    Artificial Intelligence / Automation / B / Cognition & cognitive psychology / cognitive psychology / computer science / Computer Science, general / Control, Robotics, Automation
    ISBN:  9783540274407 
    EAN-Code: 
    9783540274407 
    Verlag:  Springer EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D 21 mm 
    Gewicht:  1230 gr 
    Seiten:  383 
    Illustration:  IX, 383 p. 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Towards Biomimetic Neural Learning for Intelligent Robots.- Towards Biomimetic Neural Learning for Intelligent Robots.- I: Biomimetic Multimodal Learning in Neuron-Based Robots.- The Intentional Attunement Hypothesis The Mirror Neuron System and Its Role in Interpersonal Relations.- Sequence Detector Networks and Associative Learning of Grammatical Categories.- A Distributed Model of Spatial Visual Attention.- A Hybrid Architecture Using Cross-Correlation and Recurrent Neural Networks for Acoustic Tracking in Robots.- Image Invariant Robot Navigation Based on Self Organising Neural Place Codes.- Detecting Sequences and Understanding Language with Neural Associative Memories and Cell Assemblies.- Combining Visual Attention, Object Recognition and Associative Information Processing in a NeuroBotic System.- Towards Word Semantics from Multi-modal Acoustico-Motor Integration: Application of the Bijama Model to the Setting of Action-Dependant Phonetic Representations.- Grounding Neural Robot Language in Action.- A Spiking Neural Network Model of Multi-modal Language Processing of Robot Instructions.- II: Biomimetic Cognitive Behaviour in Robots.- A Virtual Reality Platform for Modeling Cognitive Development.- Learning to Interpret Pointing Gestures: Experiments with Four-Legged Autonomous Robots.- Reinforcement Learning Using a Grid Based Function Approximator.- Spatial Representation and Navigation in a Bio-inspired Robot.- Representations for a Complex World: Combining Distributed and Localist Representations for Learning and Planning.- MaximumOne: An Anthropomorphic Arm with Bio-inspired Control System.- LARP, Biped Robotics Conceived as Human Modelling.- Novelty and Habituation: The Driving Forces in Early Stage Learning for Developmental Robotics.- Modular Learning Schemes for Visual Robot Control.- Neural Robot Detection in RoboCup.- A Scale Invariant Local Image Descriptor for Visual Homing.

      



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