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020 _a9783642006166
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024 7 _a10.1007/978-3-642-00616-6
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072 7 _aSCI089000
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082 0 4 _a612.8
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245 1 0 _aCreating Brain-Like Intelligence
_h[electronic resource] :
_bFrom Basic Principles to Complex Intelligent Systems /
_cedited by Bernhard Sendhoff, Edgar Körner, Olaf Sporns, Helge Ritter, Kenji Doya.
250 _a1st ed. 2009.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2009.
300 _aVIII, 351 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v5436
505 0 _aCreating Brain-Like Intelligence -- From Complex Networks to Intelligent Systems -- Stochastic Dynamics in the Brain and Probabilistic Decision-Making -- Formal Tools for the Analysis of Brain-Like Structures and Dynamics -- Morphological Computation - Connecting Brain, Body, and Environment -- Trying to Grasp a Sketch of a Brain for Grasping -- Learning Actions through Imitation and Exploration: Towards Humanoid Robots That Learn from Humans -- Towards Learning by Interacting -- Planning and Moving in Dynamic Environments -- Towards Cognitive Robotics -- Approaches and Challenges for Cognitive Vision Systems -- Some Requirements for Human-Like Robots: Why the Recent Over-Emphasis on Embodiment Has Held Up Progress -- Co-evolution of Rewards and Meta-parameters in Embodied Evolution -- Active Vision for Goal-Oriented Humanoid Robot Walking -- Cognitive Adequacy in Brain-Like Intelligence -- Basal Ganglia Models for Autonomous Behavior Learning.
520 _aThis state-of-the-art-survey documents the scientific outcome of the International Symposium "Creating Brain-Like Intelligence", which took place in Hohenstein, Germany, in February 2007. It presents an introduction to this emerging interdisciplinary field by drawing together 15 articles from researchers across a broad range of disciplines. Brain-Like intelligence attempts a representation of the environment including the system itself. It has to cope with a continuous influx of an immense amount of mostly unspecific information and cannot be identified with a singular functionality. It is the versatility of brain-like intelligence, its robustness and plasticity which makes it the object of our quest. After 50 years of artificial intelligence research however, we are still not able to mimic even the lower level sensory capabilities of animals. But we are beginning to move in the right direction by identifying the biggest obstacles and starting to understand the autonomy, flexibility, and robustness of intelligent biological systems. This collection of articles is evidence of this progress and represents the current state of art in several research fields that are embraced by brain-like intelligence. .
650 0 _aNeurosciences.
_924499
650 0 _aArtificial intelligence.
_93407
650 0 _aComputer programming.
_94169
650 0 _aComputer science.
_99832
650 0 _aComputer simulation.
_95106
650 0 _aUser interfaces (Computer systems).
_911681
650 0 _aHuman-computer interaction.
_96196
650 1 4 _aNeuroscience.
_934310
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aProgramming Techniques.
_9135180
650 2 4 _aTheory of Computation.
_9135181
650 2 4 _aComputer Modelling.
_9135182
650 2 4 _aUser Interfaces and Human Computer Interaction.
_931632
700 1 _aSendhoff, Bernhard.
_eeditor.
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700 1 _aKörner, Edgar.
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_9135184
700 1 _aSporns, Olaf.
_eeditor.
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_9135185
700 1 _aRitter, Helge.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9135186
700 1 _aDoya, Kenji.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9135187
710 2 _aSpringerLink (Online service)
_9135188
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783642006159
776 0 8 _iPrinted edition:
_z9783642006173
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v5436
_9135189
856 4 0 _uhttps://doi.org/10.1007/978-3-642-00616-6
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