Biologically Inspired Cognitive Architectures 2012

Proceedings of the Third Annual Meeting of the BICA Society

  • Antonio Chella
  • Roberto Pirrone
  • Rosario Sorbello
  • Kamilla Rún Jóhannsdóttir
Conference proceedings

DOI: 10.1007/978-3-642-34274-5

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 196)

Table of contents

  1. Front Matter
    Pages 1-16
  2. Igor Aleksander, Helen Morton
    Pages 1-6
  3. Raúl Arrabales, Agapito Ledezma, Araceli Sanchis
    Pages 7-15
  4. Pentti O. A. Haikonen
    Pages 19-27
  5. Ho Gyeong Kim, Cheong-An Lee, Soo-Young Lee
    Pages 31-31
  6. Karlheinz Meier
    Pages 37-37
  7. Alexei V. Samsonovich
    Pages 41-49
  8. Ricardo Sanz, Carlos Hernández
    Pages 53-53
  9. Geraint A. Wiggins
    Pages 57-57
  10. Salvatore M. Anzalone, Serena Ivaldi, Olivier Sigaud, Mohamed Chetouani
    Pages 59-64
  11. Gioia Ballin, Matteo Munaro, Emanuele Menegatti
    Pages 65-74
  12. Jonathan P. Bona, Stuart C. Shapiro
    Pages 75-81
  13. Barbara Caci, Antonella D’Amico, Giuseppe Chiazzese
    Pages 83-87

About these proceedings

Introduction

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.

Keywords

Artificial Intelligence Biologically Inspired Cognitive Architectures Cognitive Functions Learning Natural Intelligent Systems Neurosciences

Editors and affiliations

  • Antonio Chella
    • 1
  • Roberto Pirrone
    • 2
  • Rosario Sorbello
    • 3
  • Kamilla Rún Jóhannsdóttir
    • 4
  1. 1.Department of Chemical, Management,, Computer, Mechanical EngineeringUniversità di PalermoPalermoItaly
  2. 2.Department of Chemical, Management,, Computer, Mechanical EngineeringUniversità di PalermoPalermoItaly
  3. 3.Department of Chemical, Management,, Computer, Mechanical EngineeringUniversità di PalermoPalermoItaly
  4. 4., Department of PsychologyReykjavik UniversityReykjavikIceland

Bibliographic information

  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-34273-8
  • Online ISBN 978-3-642-34274-5
  • Series Print ISSN 2194-5357
  • Series Online ISSN 2194-5365