Titlebook: Creating Brain-Like Intelligence; From Basic Principle Bernhard Sendhoff,Edgar K?rner,Kenji Doya Book 2009 Springer-Verlag Berlin Heidelber

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Formal Tools for the Analysis of Brain-Like Structures and Dynamics, patterns with complex structures, one needs corresponding complexity measures, as developed in [51,52,5]. Ultimately, however, any such dynamical features derive their meaning from their role in processing information. Neurons filter and select information, encode it by transforming it into an inte

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,Morphological Computation – Connecting Brain, Body, and Environment,es are presented to illustrate the concept. We conclude with some speculations about potential lessons for neuroscience and robotics, in particular for building brain-like intelligence, and we present a theoretical scheme that can be used to embed the diverse case studies.

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Trying to Grasp a Sketch of a Brain for Grasping,g style” of traditional engineering with more holistic, biologically inspired solutions for grasp synthesis and discuss the potential of the research field of “Manual Intelligence” and its speculative connections with language for making progress towards robots with more brain-like behavior.

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Towards Learning by Interacting,gement in interaction, needs to take the communicative context into account. We further propose that such an approach necessarily needs to take three aspects into account: (1) multi-modal integration at all processing levels (2) derivation of top-down strategies from bottom-up processes and (3) inte

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Planning and Moving in Dynamic Environments,m of designing adaptive control and planning systems that can flexibly be coupled to multiple sources of information (be they of purely sensory nature or higher-level modulations such as task and constraint information) and equally formulated on any level of abstraction (motor control variables or s

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Some Requirements for Human-Like Robots: Why the Recent Over-Emphasis on Embodiment Has Held Up Profficult to make significant progress on those problems with physical robots, as too many different problems need to be solved simultaneously. In particular, the importance of studying some abstract features of the environment about which the animal or robot has to learn (extending ideas of J.J.Gibso

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