| 000 | 03302nam a22005055i 4500 | ||
|---|---|---|---|
| 001 | 978-3-642-17089-8 | ||
| 003 | DE-He213 | ||
| 005 | 20140220083750.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 110615s2011 gw | s |||| 0|eng d | ||
| 020 |
_a9783642170898 _9978-3-642-17089-8 |
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| 024 | 7 |
_a10.1007/978-3-642-17089-8 _2doi |
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| 050 | 4 | _aQ334-342 | |
| 050 | 4 | _aTJ210.2-211.495 | |
| 072 | 7 |
_aUYQ _2bicssc |
|
| 072 | 7 |
_aTJFM1 _2bicssc |
|
| 072 | 7 |
_aCOM004000 _2bisacsh |
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| 082 | 0 | 4 |
_a006.3 _223 |
| 100 | 1 |
_aSarbo, Janos J. _eauthor. |
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| 245 | 1 | 0 |
_aKnowledge in Formation _h[electronic resource] : _bA Computational Theory of Interpretation / _cby Janos J. Sarbo, Jozsef I. Farkas, Auke J.J. Breemen. |
| 264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2011. |
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| 300 |
_aXII, 217 p. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 490 | 1 |
_aCognitive Technologies, _x1611-2482 |
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| 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. |
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| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer eBooks | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783642170881 |
| 830 | 0 |
_aCognitive Technologies, _x1611-2482 |
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| 856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-642-17089-8 |
| 912 | _aZDB-2-SCS | ||
| 999 |
_c107220 _d107220 |
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