Biologically Inspired Cognitive Architectures 2012

Biologically Inspired Cognitive Architectures 2012
Author :
Publisher : Springer Science & Business Media
Total Pages : 361
Release :
ISBN-10 : 9783642342745
ISBN-13 : 3642342744
Rating : 4/5 (744 Downloads)

Book Synopsis Biologically Inspired Cognitive Architectures 2012 by : Antonio Chella

Download or read book Biologically Inspired Cognitive Architectures 2012 written by Antonio Chella and published by Springer Science & Business Media. This book was released on 2012-09-29 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: The challenge of creating a real-life computational equivalent of the human mind requires that we better understand at a computational level how natural intelligent systems develop their cognitive and learning functions. In recent years, biologically inspired cognitive architectures have emerged as a powerful new approach toward gaining this kind of understanding (here “biologically inspired” is understood broadly as “brain-mind inspired”). Still, despite impressive successes and growing interest in BICA, wide gaps separate different approaches from each other and from solutions found in biology. Modern scientific societies pursue related yet separate goals, while the mission of the BICA Society consists in the integration of many efforts in addressing the above challenge. Therefore, the BICA Society shall bring together researchers from disjointed fields and communities who devote their efforts to solving the same challenge, despite that they may “speak different languages”. This will be achieved by promoting and facilitating the transdisciplinary study of cognitive architectures, and in the long-term perspective – creating one unifying widespread framework for the human-level cognitive architectures and their implementations. This book is a proceedings of the Third Annual Meeting of the BICA Society, which was hold in Palermo-Italy from October 31 to November 2, 2012. The book describes recent advances and new challenges around the theme of understanding how to create general-purpose humanlike artificial intelligence using inspirations from studies of the brain and the mind.


Biologically Inspired Cognitive Architectures 2012 Related Books

Biologically Inspired Cognitive Architectures 2019
Language: en
Pages: 636
Authors: Alexei V. Samsonovich
Categories: Technology & Engineering
Type: BOOK - Published: 2019-07-16 - Publisher: Springer

DOWNLOAD EBOOK

The book focuses on original approaches intended to support the development of biologically inspired cognitive architectures. It bridges together different disc
Biologically Inspired Cognitive Architectures (BICA) for Young Scientists
Language: en
Pages: 358
Authors: Alexei V. Samsonovich
Categories: Technology & Engineering
Type: BOOK - Published: 2017-07-26 - Publisher: Springer

DOWNLOAD EBOOK

This book includes papers from the second year of the prestigious First International Early Research Career Enhancement School (FIERCES) series: a successful, n
Biologically Inspired Cognitive Architectures 2012
Language: en
Pages: 361
Authors: Antonio Chella
Categories: Technology & Engineering
Type: BOOK - Published: 2012-09-29 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

The challenge of creating a real-life computational equivalent of the human mind requires that we better understand at a computational level how natural intelli
Biologically Inspired Cognitive Architectures (BICA) for Young Scientists
Language: en
Pages: 373
Authors: Alexei V. Samsonovich
Categories: Technology & Engineering
Type: BOOK - Published: 2017-07-25 - Publisher: Springer

DOWNLOAD EBOOK

This book includes papers from the second year of the prestigious First International Early Research Career Enhancement School (FIERCES) series: a successful, n
Biologically Inspired Cognitive Architectures 2021
Language: en
Pages: 640
Authors: Valentin V. Klimov
Categories: Technology & Engineering
Type: BOOK - Published: 2022-03-24 - Publisher: Springer Nature

DOWNLOAD EBOOK

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