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Intrinsically Motivated Learning in Natural and Artificial Systems

It has become clear to researchers in robotics and adaptive behaviour that current approaches are yielding systems with limited autonomy and capacity for self-improvement. To learn autonomously and in a cumulative fashion is one of the hallmarks of intelligence, and we know that higher mammals engag...

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Corporate Author: SpringerLink (Online service)
Other Authors: Baldassarre, Gianluca. (Editor, http://id.loc.gov/vocabulary/relators/edt), Mirolli, Marco. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Edition:1st ed. 2013.
Subjects:
Artificial intelligence.
Cognitive psychology.
Control engineering.
Robotics.
Mechatronics.
Computational intelligence.
Neurosciences.
Artificial Intelligence.
Cognitive Psychology.
Control, Robotics, Mechatronics.
Computational Intelligence.
Online Access:https://doi.org/10.1007/978-3-642-32375-1

Internet

https://doi.org/10.1007/978-3-642-32375-1

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