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001			u375444
003			SIRSI
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007			cr nn 008mamaa
008			110615s2011 gw | s |||| 0|eng d
020			_a9783642170898 _9978-3-642-17089-8
040			_cMX-MeUAM
050		4	_aQ334-342
050		4	_aTJ210.2-211.495
082	0	4	_a006.3 _223
100	1		_aSarbo, Janos J. _eauthor.
245	1	0	_aKnowledge in Formation _h[recurso electrónico] : _bA Computational Theory of Interpretation / _cby Janos J. Sarbo, Jozsef I. Farkas, Auke J.J. Breemen.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2011.
300			_aXII, 217 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aCognitive Technologies, _x1611-2482
505	0		_aSigns and Sign Interpretation -- From Signs to Interpretants -- A Semiotic Account of Interpretation Processes -- A World of Signs -- Perception and Cognition -- Language Signs -- Reasoning Signs.
520			_aHumans have an extraordinary capability to combine different types of information in a single meaningful interpretation. The quickness with which interpretation processes evolve suggests the existence of a uniform procedure for all domains. In this book the authors suggest that such a procedure can be found. They concentrate on the introduction of a theory of interpretation, and they define a model that enables a meaningful representation of knowledge, based on a dynamic view of information and a cognitive model of human information processing.   The book consists of three parts. The first part focuses on the properties of signs and sign interpretation; in the second part the authors introduce a model that complies with the conditions for sign processing set by the first part; and in the third part they examine applications of their model in the domain of logic, natural language, reasoning and mathematics. Finally they show how these domains pop up as perspectives in an overall model of knowledge representation.   The reader is assumed to have some interest in human information processing and knowledge modeling. Natural language is considered in the obvious sense, familiarity with linguistic theories is not required. Sign theoretical concepts are restricted to a manageable subset, which is introduced gently. Finally, some familiarity with basic concepts of propositional and syllogistic logic may be useful.
650		0	_aComputer science.
650		0	_aLogic.
650		0	_aArtificial intelligence.
650	1	4	_aComputer Science.
650	2	4	_aArtificial Intelligence (incl. Robotics).
650	2	4	_aLogic.
700	1		_aFarkas, Jozsef I. _eauthor.
700	1		_aBreemen, Auke J.J. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783642170881
830		0	_aCognitive Technologies, _x1611-2482
856	4	0	_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-3-642-17089-8
596			_a19
942			_cLIBRO_ELEC
999			_c203324 _d203324