Creating Brain-Like Intelligence

1. Front Matter

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2. Creating Brain-Like Intelligence

   • Bernhard Sendhoff, Edgar Körner, Olaf Sporns

   Pages 1-14

3. From Complex Networks to Intelligent Systems

   • Olaf Sporns

   Pages 15-30

4. Stochastic Dynamics in the Brain and Probabilistic Decision-Making

   • Gustavo Deco, Edmund T. Rolls

   Pages 31-50

5. Formal Tools for the Analysis of Brain-Like Structures and Dynamics

   • Jürgen Jost

   Pages 51-65

6. Morphological Computation – Connecting Brain, Body, and Environment

   • Rolf Pfeifer, Gabriel Gómez

   Pages 66-83

7. Trying to Grasp a Sketch of a Brain for Grasping

   • Helge Ritter, Robert Haschke, Jochen J. Steil

   Pages 84-102

8. Learning Actions through Imitation and Exploration: Towards Humanoid Robots That Learn from Humans

   • David B. Grimes, Rajesh P. N. Rao

   Pages 103-138

9. Towards Learning by Interacting

   • Britta Wrede, Katharina J. Rohlfing, Marc Hanheide, Gerhard Sagerer

   Pages 139-150

10. Planning and Moving in Dynamic Environments

    • Sethu Vijayakumar, Marc Toussaint, Giorgios Petkos, Matthew Howard

    Pages 151-191

11. Towards Cognitive Robotics

    • Christian Goerick

    Pages 192-214

12. Approaches and Challenges for Cognitive Vision Systems

    • Julian Eggert, Heiko Wersing

    Pages 215-247

13. Some Requirements for Human-Like Robots: Why the Recent Over-Emphasis on Embodiment Has Held Up Progress

    • Aaron Sloman

    Pages 248-277

14. Co-evolution of Rewards and Meta-parameters in Embodied Evolution

    • Stefan Elfwing, Eiji Uchibe, Kenji Doya

    Pages 278-302

15. Active Vision for Goal-Oriented Humanoid Robot Walking

    • Mototaka Suzuki, Tommaso Gritti, Dario Floreano

    Pages 303-313

16. Cognitive Adequacy in Brain-Like Intelligence

    • Christoph S. Herrmann, Frank W. Ohl

    Pages 314-327

17. Basal Ganglia Models for Autonomous Behavior Learning

    • Hiroshi Tsujino, Johane Takeuchi, Osamu Shouno

    Pages 328-350

18. Back Matter

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TheInternationalSymposiumCreatingBrain-LikeIntelligencewasheldinFeb- ary 2007 in Germany. The symposium brought together notable scientists from di?erent backgrounds and with di?erent expertise related to the emerging ?eld of brain-like intelligence. Our understanding of the principles behind brain-like intelligence is still limited. After all, we have had to acknowledge that after tremendous advances in areas like neural networks, computational and arti?cial intelligence (a ?eld that had just celebrated its 50 year anniversary) and fuzzy systems, we are still not able to mimic even the lower-level sensory capabilities of humans or animals. We asked what the biggest obstacles are and how we could gain ground toward a scienti?c understanding of the autonomy, ?exibility, and robustness of intelligent biological systems as they strive to survive. New principles are usually found at the interfaces between existing disciplines, and traditional boundaries between disciplines have to be broken down to see how complex systems become simple and how the puzzle can be assembled. During the symposium we could identify some recurring themes that p- vaded many of the talks and discussions. The triad of structure, dynamics and environment,theroleoftheenvironmentasanactivepartnerinshapingsystems, adaptivity on all scales (learning, development, evolution) and the amalga- tion of an internal and external world in brain-like intelligence rate high among them. Each of us is rooted in a certain community which we have to serve with the results of our research. Looking beyond our ?elds and working at the interfaces between established areas of research requires e?ort and an active process.

• artificial intelligence
• autonom
• brain-body-environment
• clustering
• cognitive vision system
• computer vision
• context sensing
• decision making
• embodied evolution
• emotion recognition
• human sensing
• intelligence
• intelligent systems
• tar
• user experience

• Honda Research Institute Europe GmbH, 63073 Offenbach/Main, Germany

  Bernhard Sendhoff

• Honda Research Institute Europe GmbH, Carl-Legien-Strasse 30, 63073, Offenbach/Main, Germany

  Edgar Körner

• Dept. of Psychological and Brain Sciences, Indiana University, Bloomington, USA

  Olaf Sporns

• Faculty of Technology, Neuroinformatics Group, Bielefeld University, Bielefeld, Germany

  Helge Ritter

• Okinawa Institute of Science and Technology, Neural Computation Unit,, Okinawa, Japan

  Kenji Doya

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