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[Advances in Intelligent Systems and Computing] Biologically Inspired Cognitive Architectures 2012 Volume 196 || Babies and Baby-Humanoids to Study Cognition

✍ Scribed by Chella, Antonio; Pirrone, Roberto; Sorbello, Rosario; Jóhannsdóttir, Kamilla Rún


Book ID
118279540
Publisher
Springer Berlin Heidelberg
Year
2013
Tongue
English
Weight
43 KB
Edition
2
Category
Article
ISBN
3642342744

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✦ Synopsis


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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[Advances in Intelligent Systems and Com
✍ Chella, Antonio; Pirrone, Roberto; Sorbello, Rosario; Jóhannsdóttir, Kamilla Rún 📂 Article 📅 2013 🏛 Springer Berlin Heidelberg 🌐 English ⚖ 46 KB

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