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Neural network perspectives on cognition and adaptive robotics /

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Featuring an international team of authors, Neural Network Perspectives on Cognition and Adaptive Robotics presents several approaches to the modeling of human cognition and language using neural computing techniques. It also describes how adaptive robotic systems can be produced using neural networ...

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Bibliographic Details
Corporate Author: Taylor & Francis
Other Authors: Browne, Antony (Editor)
Format: eBook
Language:English
Published: [Place of publication not identified] : CRC Press, 2019.
Subjects:
COMPUTERS / Computer Graphics / Game Programming & Design
MATHEMATICS / General
MATHEMATICS / Number Systems
Neural networks (Computer science)
Robotics.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Part 1 Representation: Challenges for neural computing. Representing structure and structured representations in connectionist networks. Chaos, dynamics and computational power in biologically plausible neural networks. Information-theoretic approaches to neural network learning. Part 2 Cognitive modelling: Exploring different approaches towards everyday commonsense reasoning. Natural language processing with subsymbolic neural networks. The relational mind. Neuroconsciousness: a fundamental postulate. Part 3 Adaptive robotics: The neural mind and the robot. Teaching a robot to see how it moves. Designing a nervous system for an adaptive mobile robot.