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Bernhard Sendhoff, Edgar Körner, Olaf Sporns, Helge Ritter and Kenji Doya
Front matter
1-14
Creating Brain-Like Intelligence
15-30
From Complex Networks to Intelligent Systems
31-50
Stochastic Dynamics in the Brain and Probabilistic Decision-Making
51-65
Formal Tools for the Analysis of Brain-Like Structures and Dynamics
66-83
Morphological Computation – Connecting Brain, Body, and Environment
84-102
Trying to Grasp a Sketch of a Brain for Grasping
103-138
Learning Actions through Imitation and Exploration: Towards Humanoid Robots That Learn from Humans
139-150
Towards Learning by Interacting
151-191
Planning and Moving in Dynamic Environments A Statistical Machine Learning Approach
192-214
Towards Cognitive Robotics
215-247
Approaches and Challenges for Cognitive Vision Systems
248-277
Some Requirements for Human-Like Robots: Why the Recent Over-Emphasis on Embodiment Has Held Up Progress
278-302
Co-evolution of Rewards and Meta-parameters in Embodied Evolution
303-313
Active Vision for Goal-Oriented Humanoid Robot Walking
314-327
Cognitive Adequacy in Brain-Like Intelligence
328-350
Basal Ganglia Models for Autonomous Behavior Learning
Back matter
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