Neural Network Perspectives on Cognition and Adaptive Robotics (eBook, PDF)

Redaktion: Browne, A.

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 270
• Erscheinungstermin: 20. August 2019
• Englisch
• ISBN-13: 9781000716122
• Artikelnr.: 57541448

Autorenporträt

Antony Browne

Inhaltsangabe

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.