000 04088nam a22005655i 4500
001 978-3-540-68875-4
003 DE-He213
005 20140220084519.0
007 cr nn 008mamaa
008 100715s2010 gw | s |||| 0|eng d
020 _a9783540688754
_9978-3-540-68875-4
024 7 _a10.1007/978-3-540-68875-4
_2doi
050 4 _aQ334-342
050 4 _aTJ210.2-211.495
072 7 _aUYQ
_2bicssc
072 7 _aTJFM1
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
100 1 _aGergely, Tamás.
_eauthor.
245 1 0 _aCognitive Reasoning
_h[electronic resource] :
_bA Formal Approach /
_cby Tamás Gergely, Oleg M. Anshakov.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2010.
300 _aX, 437p.
_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 _aConceptual Theory of Cognitive Reasoning -- Introductory Explanation -- Basic System of Concepts -- Constructing a Model of a Cognizing Agent -- Cognitive Reasoning Framework -- Logic Foundation -- Introductory Explanation -- Propositional Logic -- First-Order Logics -- Formal CR Framework -- Introductory Explanation -- Modification Calculi -- Derivability in Modification Calculi and L1 -- Semantics -- Iterative Representation of Structure Generators -- Modification Theories -- Conformability -- Handling Complex Structures -- Introductory Explanation -- Set-Admitting Structures -- Set Sorts in Modification Calculi -- Perfect Modification Calculi (PMC) -- JSM Theories -- Introductory Explanation -- Simple JSM Theories -- Advanced JSM Theories -- Similarity Representation -- JSM Theories for Complex Structures -- Looking Back and Ahead -- Introductory Overview -- Towards the Realisation -- CR Framework -- Open Problems -- Philosophical–Methodological Implications of the Proposed CR Framework.
520 _aDealing with uncertainty, moving from ignorance to knowledge, is the focus of cognitive processes. Understanding these processes and modelling, designing, and building artificial cognitive systems have long been challenging research problems. This book describes the theory and methodology of a new, scientifically well-founded general approach, and its realization in the form of intelligent systems applicable in disciplines ranging from social sciences, such as cognitive science and sociology, through natural sciences, such as life sciences and chemistry, to applied sciences, such as medicine, education, and engineering. The main subject developed in the book is cognitive reasoning investigated at three levels of abstraction: conceptual, formal, and realizational. The authors offer a model of a cognizing agent for the conceptual theory of cognitive reasoning, and they also present a logically well-founded formal cognitive reasoning framework to handle the various plausible reasoning methods. They conclude with an object model of a cognitive engine. The book is suitable for researchers, scientists, and graduate students working in the areas of artificial intelligence, mathematical logic, and philosophy.
650 0 _aComputer science.
650 0 _aLogic.
650 0 _aInformation theory.
650 0 _aInformation systems.
650 0 _aArtificial intelligence.
650 0 _aLogic, Symbolic and mathematical.
650 1 4 _aComputer Science.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aTheory of Computation.
650 2 4 _aMathematical Logic and Foundations.
650 2 4 _aInformation Systems Applications (incl.Internet).
650 2 4 _aLogic.
700 1 _aAnshakov, Oleg M.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783540430582
830 0 _aCognitive Technologies,
_x1611-2482
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-540-68875-4
912 _aZDB-2-SCS
999 _c111189
_d111189