Biologically Inspired Cognitive Architectures 2012

1. Front Matter

   Pages 1-16

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2. Back to Basics and Forward to Novelty in Machine Consciousness

   • Igor Aleksander, Helen Morton

   Pages 1-6

3. Characterizing and Assessing Human-Like Behavior in Cognitive Architectures

   • Raúl Arrabales, Agapito Ledezma, Araceli Sanchis

   Pages 7-15

4. Architects or Botanists? The Relevance of (Neuronal) Trees to Model Cognition

   • Giorgio Ascoli

   Pages 17-17

5. Consciousness and the Quest for Sentient Robots

   • Pentti O. A. Haikonen

   Pages 19-27

6. Biological Fluctuation “Yuragi” as the Principle of Bio-inspired Robots

   • Hiroshi Ishiguro

   Pages 29-29

7. Active Learning by Selecting New Training Samples from Unlabelled Data

   • Ho Gyeong Kim, Cheong-An Lee, Soo-Young Lee

   Pages 31-31

8. Biologically Inspired beyond Neural: Benefits of Multiple Modeling Levels

   • Christian Lebiere

   Pages 33-33

9. Turing and de Finetti Ganes: Machines Making Us Think

   • Ignazio Licata

   Pages 35-35

10. How to Simulate the Brain without a Computer

    • Karlheinz Meier

    Pages 37-37

11. Odor Perception through Network Self-organization: Large Scale Realistic Simulations of the Olfactory Bulb

    • Michele Migliore

    Pages 39-40

12. Extending Cognitive Architectures

    • Alexei V. Samsonovich

    Pages 41-49

13. Babies and Baby-Humanoids to Study Cognition

    • Giulio Sandini

    Pages 51-51

14. Towards Architectural Foundations for Cognitive Self-aware Systems

    • Ricardo Sanz, Carlos Hernández

    Pages 53-53

15. Achieving AGI within My Lifetime: Some Progress and Some Observations

    • Kristinn R. Thórisson

    Pages 55-55

16. Learning and Creativity in the Global Workspace

    • Geraint A. Wiggins

    Pages 57-57

17. Multimodal People Engagement with iCub

    • Salvatore M. Anzalone, Serena Ivaldi, Olivier Sigaud, Mohamed Chetouani

    Pages 59-64

18. Human Action Recognition from RGB-D Frames Based on Real-Time 3D Optical Flow Estimation

    • Gioia Ballin, Matteo Munaro, Emanuele Menegatti

    Pages 65-74

19. Modality in the MGLAIR Architecture

    • Jonathan P. Bona, Stuart C. Shapiro

    Pages 75-81

20. Robotics and Virtual Worlds: An Experiential Learning Lab

    • Barbara Caci, Antonella D’Amico, Giuseppe Chiazzese

    Pages 83-87

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.

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

• Department of Chemical, Management,, Computer, Mechanical Engineering, Università di Palermo, Palermo, Italy

  Antonio Chella, Roberto Pirrone, Rosario Sorbello

• , Department of Psychology, Reykjavik University, Reykjavik, Iceland

  Kamilla Rún Jóhannsdóttir

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