000			03011cam a22004335i 4500
001			7921014
003			OSt
005			20211122095225.0
006			m d
007			cr n
008			090105s2009 xxu| s |||| 0|eng d
020			_a9781441946805
024	7		_a10.1007/978-0-387-87488-3 _2doi
035			_a(WaSeSS)ssj0000239009
038			_aKhadija
040			_dWaSeSS _c.
050		4	_aTJ211.495
050		4	_aTJ211.495.G86 2010
082			_a629.892 _bGAN
100	1		_aGunderson, James P. _eauthor. _984806
210	1	0	_aRobots, Reasoning, and Reification
245	1	0	_aRobots, Reasoning, and Reification / _cby James P. Gunderson, Louise F. Gunderson.
505	0		_aSome background material on probability and biology -- Using Cognition and Physiology to Build a Cognitive Model -- Representation -- Perception/Action System -- Design of a Reification Engine -- Bridging the Sensor to Symbol Gap -- Working Memory and the Construction of Personal Experiences -- Semantic Memory and the Personal Rough Ontology -- Deliberative System -- Putting it All Together -- Testing -- Where do we go from here.
506			_aLicense restrictions may limit access.
520			_aRobots, Reasoning, and Reification focuses on a critical obstacle that is preventing the development of intelligent, autonomous robots:the gap between the ability to reason about the world and the ability to sense the world and translate that sensory data into a symbolic model. This ability is what enables living systems to look at the world and perceive the things in it. In addition, intelligent living systems can extrapolate from their mental models and predict the effects of their actions in the real world. The authors call this bi-directional mapping of sensor data to symbols and symbolic manipulation onto real world effects reification. After exploring the gulf between bottom-up and top-down approaches to autonomous robotics, the book develops the concepts of reification from biologically based premises, and follows the development into the necessary components and structures that can be used to provide equivalent capabilities for intelligent robots. It continues by demonstrating how the reification engine supports both learning from experience and creating new behaviors and representations of the world.
563			_aPB
650		0	_aComputer science. _984807
650		0	_aArtificial intelligence. _984808
650	1	4	_aComputer Science. _984809
650	2	4	_aArtificial Intelligence (incl. Robotics). _984810
700	1		_aGunderson, Louise F. _eauthor. _984811
710	2		_aSpringerLink (Online service) _984812
773	0		_tSpringer eBooks
773		0	_tSpringerLink ebooks - Computer Science (2009)
776	0	8	_iPrinted edition: _z9780387874876
856	4	0	_uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio7921014 _zFull text available from SpringerLink ebooks - Computer Science (2009)
910			_aVendor-generated brief record
942			_2ddc _cBK
999			_c32971 _d32971