Biologically Inspired Cognitive Architectures 2012

Download or Read eBook Biologically Inspired Cognitive Architectures 2012 PDF 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.
Biologically Inspired Cognitive Architectures 2012
Author :
Publisher : Springer Science & Business Media
Total Pages : 361
Release :
ISBN-10 : 9783642342745
ISBN-13 : 3642342744
Rating : 4/5 (45 Downloads)

Book Synopsis Biologically Inspired Cognitive Architectures 2012 by : Antonio Chella

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.


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