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100301s2009 gw | s |||| 0|eng d |
| 020 |
# |
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|a 9783642006166
|9 978-3-642-00616-6
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| 024 |
7 |
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|a 10.1007/978-3-642-00616-6
|2 doi
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|a Q334-342
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|a TJ210.2-211.495
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|a UYQ
|2 bicssc
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|2 bicssc
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|a COM004000
|2 bisacsh
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|a 006.3
|2 23
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| 100 |
1 |
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|a Sendhoff, Bernhard.
|e editor.
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| 245 |
1 |
0 |
|a Creating Brain-Like Intelligence
|b From Basic Principles to Complex Intelligent Systems /
|c edited by Bernhard Sendhoff, Edgar Kr̲ner, Olaf Sporns, Helge Ritter, Kenji Doya.
|h [electronic resource] :
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| 264 |
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1 |
|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg,
|c 2009.
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| 300 |
# |
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|b online resource.
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| 336 |
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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| 347 |
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|a text file
|b PDF
|2 rda
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| 490 |
1 |
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|a Lecture Notes in Computer Science,
|v 5436
|x 0302-9743 ;
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| 520 |
# |
# |
|a This 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.
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| 650 |
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|a Computer science.
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| 650 |
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0 |
|a Neurosciences.
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| 650 |
# |
0 |
|a Artificial intelligence.
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| 650 |
# |
0 |
|a Computer simulation.
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| 650 |
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0 |
|a Neurobiology.
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| 650 |
1 |
4 |
|a Computer Science.
|
| 650 |
2 |
4 |
|a Artificial Intelligence (incl. Robotics).
|
| 650 |
2 |
4 |
|a Computation by Abstract Devices.
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| 650 |
2 |
4 |
|a Simulation and Modeling.
|
| 650 |
2 |
4 |
|a User Interfaces and Human Computer Interaction.
|
| 650 |
2 |
4 |
|a Neurosciences.
|
| 650 |
2 |
4 |
|a Neurobiology.
|
| 700 |
1 |
# |
|a Kr̲ner, Edgar.
|e editor.
|
| 700 |
1 |
# |
|a Sporns, Olaf.
|e editor.
|
| 700 |
1 |
# |
|a Ritter, Helge.
|e editor.
|
| 700 |
1 |
# |
|a Doya, Kenji.
|e editor.
|
| 710 |
2 |
# |
|a SpringerLink (Online service)
|
| 773 |
0 |
# |
|t Springer eBooks
|
| 776 |
0 |
8 |
|i Printed edition:
|z 9783642006159
|
| 830 |
# |
0 |
|a Lecture Notes in Computer Science,
|v 5436
|x 0302-9743 ;
|
| 856 |
4 |
0 |
|u https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-00616-6
|
| 912 |
# |
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|a ZDB-2-SCS
|
| 912 |
# |
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|a ZDB-2-LNC
|
| 950 |
# |
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|a Computer Science (Springer-11645)
|