000 03154nam a22004455i 4500
001 978-3-642-22279-5
003 DE-He213
005 20140220083808.0
007 cr nn 008mamaa
008 110825s2011 gw | s |||| 0|eng d
020 _a9783642222795
_9978-3-642-22279-5
024 7 _a10.1007/978-3-642-22279-5
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
100 1 _aPolkowski, Lech.
_eauthor.
245 1 0 _aApproximate Reasoning by Parts
_h[electronic resource] :
_bAn Introduction to Rough Mereology /
_cby Lech Polkowski.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2011.
300 _aXIV, 346 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aIntelligent Systems Reference Library,
_x1868-4394 ;
_v20
505 0 _aFrom the content: Concepts. Aristotelian and Set-theoretic Approaches -- Topology of Concepts -- Reasoning. Patterns of Deductive Reasoning -- Reductive Reasoning. Rough and Fuzzy Sets as Frameworks for Reductive Reasoning -- Mereology.
520 _a--- PLEASE take the tex- version --- The monograph offers a view on Rough Mereology, a tool for reasoning under uncertainty, which goes back to Mereology, formulated in terms of  parts by Lesniewski, and borrows from Fuzzy Set Theory and Rough Set Theory ideas of the containment to a degree. The result is a theory based on the notion of a part to a degree.   One can invoke here a formula Rough: Rough Mereology : Mereology = Fuzzy Set Theory : Set Theory. As with Mereology, Rough Mereology finds important applications in problems of Spatial Reasoning, illustrated in this monograph with examples from Behavioral Robotics. Due to its involvement with concepts, Rough Mereology offers new approaches to Granular Computing, Classifier and Decision Synthesis, Logics for Information Systems, and are--formulation of  well--known ideas of Neural Networks and Many Agent Systems. All these approaches are discussed in this monograph.   To make the exposition self--contained,  underlying notions of Set Theory, Topology, and Deductive and Reductive Reasoning with emphasis on Rough and Fuzzy Set Theories along with a thorough exposition of Mereology both in Lesniewski and Whitehead--Leonard--Goodman--Clarke versions are discussed at length.   It is hoped that the monograph offers researchers in various areas of Artificial Intelligence a  new tool to deal with analysis of relations among concepts.
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aArtificial Intelligence (incl. Robotics).
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642222788
830 0 _aIntelligent Systems Reference Library,
_x1868-4394 ;
_v20
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-22279-5
912 _aZDB-2-ENG
999 _c108161
_d108161