000 04383nam a22006255i 4500
001 978-3-642-00616-6
003 DE-He213
005 20160624102127.0
007 cr nn 008mamaa
008 100301s2009 gw | s |||| 0|eng d
020 _a9783642006166
_9978-3-642-00616-6
024 7 _a10.1007/978-3-642-00616-6
_2doi
050 4 _aQ334-342
050 4 _aTJ210.2-211.495
072 7 _aUYQ
_2bicssc
072 7 _aTJFM1
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
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.
260 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2009.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_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 Computer Science,
_x0302-9743 ;
_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 _aComputer science.
650 0 _aNeurosciences.
650 0 _aArtificial intelligence.
650 0 _aComputer simulation.
650 0 _aNeurobiology.
650 1 4 _aComputer Science.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aComputation by Abstract Devices.
650 2 4 _aSimulation and Modeling.
650 2 4 _aUser Interfaces and Human Computer Interaction.
650 2 4 _aNeurosciences.
650 2 4 _aNeurobiology.
700 1 _aSendhoff, Bernhard.
_eeditor.
700 1 _aKörner, Edgar.
_eeditor.
700 1 _aSporns, Olaf.
_eeditor.
700 1 _aRitter, Helge.
_eeditor.
700 1 _aDoya, Kenji.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642006159
786 _dSpringer
830 0 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v5436
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-00616-6
942 _2EBK8427
_cEBK
999 _c37721
_d37721