Biologically Inspired Cognitive Architectures 2012

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Biologically Inspired Cognitive Architectures 2024

Author	: Alexei V. Samsonovich
Publisher	: Springer Nature
Total Pages	: 477
Release	:
ISBN-10	: 9783031765162
ISBN-13	: 3031765168
Rating	: 4/5 (168 Downloads)

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Book Synopsis Biologically Inspired Cognitive Architectures 2024 by : Alexei V. Samsonovich

Download or read book Biologically Inspired Cognitive Architectures 2024 written by Alexei V. Samsonovich and published by Springer Nature. This book was released on with total page 477 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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Language: en
Pages: 477

Biologically Inspired Cognitive Architectures 2024

Authors: Alexei V. Samsonovich

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Type: BOOK - Published: - Publisher: Springer Nature

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Biologically Inspired Cognitive Architectures (BICA) for Young Scientists

Authors: Alexei V. Samsonovich

Categories: Technology & Engineering

Type: BOOK - Published: 2016-04-15 - Publisher: Springer

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This book presents cutting-edge research focused on current challenges towards the realization of Biologically Inspired intelligent agents, or Cognitive Archite

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Advanced Research on Biologically Inspired Cognitive Architectures

Authors: Vallverdú, Jordi

Categories: Computers

Type: BOOK - Published: 2017-01-25 - Publisher: IGI Global

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There are many different approaches to understanding human consciousness. By conducting research to better understand various biological mechanisms, these can b

Language: en
Pages: 636

Biologically Inspired Cognitive Architectures 2019

Authors: Alexei V. Samsonovich

Categories: Technology & Engineering

Type: BOOK - Published: 2019-07-16 - Publisher: Springer

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The book focuses on original approaches intended to support the development of biologically inspired cognitive architectures. It bridges together different disc

Language: en
Pages: 290

Cognitive Architectures

Authors: Maria Isabel Aldinhas Ferreira

Categories: Technology & Engineering

Type: BOOK - Published: 2018-09-03 - Publisher: Springer

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This book provides an integrated framework for natural and artificial cognition by highlighting the fundamental role played by the cognitive architecture in the