000 03357nam a22005415i 4500
001 978-3-319-42337-1
003 DE-He213
005 20200421112234.0
007 cr nn 008mamaa
008 161027s2016 gw | s |||| 0|eng d
020 _a9783319423371
_9978-3-319-42337-1
024 7 _a10.1007/978-3-319-42337-1
_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 _aJ�sang, Audun.
_eauthor.
245 1 0 _aSubjective Logic
_h[electronic resource] :
_bA Formalism for Reasoning Under Uncertainty /
_cby Audun J�sang.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2016.
300 _aXXI, 337 p. 119 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aArtificial Intelligence: Foundations, Theory, and Algorithms,
_x2365-3051
505 0 _aIntroduction -- Elements of Subjective Opinions -- Opinion Representations -- Decision-Making Under Vagueness and Uncertainty -- Principles of Subjective Logic -- Addition, Subtraction and Complement -- Binomial Multiplication and Division -- Multinomial Multiplication and Division -- Conditional Deduction -- Conditional Abduction -- Joint and Marginal Opinions -- Fusion of Subjective Opinions -- Unfusion and Fission of Subjective Opinions -- Computational Trust -- Trust Networks -- Bayesian Reputation Systems -- Subjective Networks.
520 _aThis is the first comprehensive treatment of subjective logic and all its operations. The author developed the approach, and in this book he first explains subjective opinions, opinion representation, and decision-making under vagueness and uncertainty, and he then offers a full definition of subjective logic, harmonising the key notations and formalisms, concluding with chapters on trust networks and subjective Bayesian networks, which when combined form general subjective networks. The author shows how real-world situations can be realistically modelled with regard to how situations are perceived, with conclusions that more correctly reflect the ignorance and uncertainties that result from partially uncertain input arguments. The book will help researchers and practitioners to advance, improve and apply subjective logic to build powerful artificial reasoning models and tools for solving real-world problems. A good grounding in discrete mathematics is a prerequisite.
650 0 _aComputer science.
650 0 _aLogic.
650 0 _aComputer security.
650 0 _aMathematical logic.
650 0 _aArtificial intelligence.
650 1 4 _aComputer Science.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aMathematical Logic and Formal Languages.
650 2 4 _aSystems and Data Security.
650 2 4 _aLogic.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319423357
830 0 _aArtificial Intelligence: Foundations, Theory, and Algorithms,
_x2365-3051
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-42337-1
912 _aZDB-2-SCS
942 _cEBK
999 _c58172
_d58172