rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Neural network perspectives on cognition and adaptive robotics
  name:
    name part: Browne, Antony
    role:
      role term: editor.
  name:
    name part: Taylor & Francis
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: xx
    date issued: 2019
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (270 pages)
  abstract: 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 network architectures. Covering a wide range of mainstream area and trends, each chapter provides the latest information from a different perspective.
  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.
  note: edited by Antony Browne.
  note: Originally published 1997.
  subject:
    topic: Neural networks (Computer science)
  subject:
    topic: Robotics
  subject:
    topic: Neural Networks, Computer
  subject:
    topic: Robotics
  subject:
    topic: Réseaux neuronaux (Informatique)
  subject:
    topic: Robotique
  subject:
    topic: COMPUTERS
    topic: Computer Graphics
    topic: Game Programming & Design
  subject:
    topic: MATHEMATICS
    topic: General
  subject:
    topic: MATHEMATICS
    topic: Number Systems
  subject:
    topic: Neural networks (Computer science)
  subject:
    topic: Robotics
  classification: QA76.87
  classification: 006.3/2
  related item:
    title info:
      title: Neural network perspectives on cognition and adaptive robotics
    origin info:
      publisher: Bristol ; Philadelphia : Institute of Physics Pub., ©1997
    identifier: (DLC) 97031333
    identifier: (OCoLC)37527551
  identifier: 9780367813239
  identifier: 0367813238
  identifier: 9781000716122
  identifier: 1000716120
  identifier: 9781000723946
  identifier: 1000723941
  identifier: 9781000720037
  identifier: 1000720039
  identifier: 9780750304559
  identifier: 0750304553
  identifier: 9780367813239 Taylor & Francis
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: TYFRS
    record creation date: 190821
    record change date: 20241111204833.4
    record identifier: in00005528873
    language of cataloging:
      language term: eng