國立虎尾科技大學 |

Subjective logic = a formalism for reasoning under uncertainty /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Subjective logic/ by Audun Josang.
其他題名:	a formalism for reasoning under uncertainty /
作者:	Josang, Audun.
出版者:	Cham :Springer International Publishing : : 2016.,
面頁冊數:	xxi, 337 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Computer logic. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-42337-1
ISBN:	9783319423371

Subjective logic = a formalism for reasoning under uncertainty /
Josang, Audun.

Subjective logica formalism for reasoning under uncertainty /[electronic resource] :by Audun Josang. - Cham :Springer International Publishing :2016. - xxi, 337 p. :ill., digital ;24 cm. - Artificial intelligence: foundations, theory, and algorithms,2365-3051. - Artificial intelligence: foundations, theory, and algorithms..

Introduction -- 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.

This 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.

ISBN: 9783319423371

Standard No.: 10.1007/978-3-319-42337-1doiSubjects--Topical Terms:

786340
Computer logic.

LC Class. No.: QA76.9.L63

Dewey Class. No.: 005.1015113

Subjective logic = a formalism for reasoning under uncertainty /
LDR:02581nam a2200337 a 4500 001 867552
003 DE-He213
005 20161027130448.0
006 m d
007 cr nn 008maaau
008 170720s2016 gw s 0 eng d
020 $a 9783319423371 $q (electronic bk.)
020 $a 9783319423357 $q (paper)
024 7 $a 10.1007/978-3-319-42337-1 $2 doi
035 $a 978-3-319-42337-1
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.L63
072 7 $a UYQ $2 bicssc
072 7 $a TJFM1 $2 bicssc
072 7 $a COM004000 $2 bisacsh
082 0 4 $a 005.1015113 $2 23
090 $a QA76.9.L63 $b J83 2016
100 1 $a Josang, Audun. $3 792802
245 1 0 $a Subjective logic $h [electronic resource] : $b a formalism for reasoning under uncertainty / $c by Audun Josang.
260 $a Cham : $c 2016. $b Springer International Publishing : $b Imprint: Springer,
300 $a xxi, 337 p. : $b ill., digital ; $c 24 cm.
490 1 $a Artificial intelligence: foundations, theory, and algorithms, $x 2365-3051
505 0 $a Introduction -- 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 $a This 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 $a Computer logic. $3 786340
650 0 $a Uncertainty (Information theory) $3 644010
650 0 $a Formal methods (Computer science) $3 564790
650 0 $a Computer science. $3 573171
650 0 $a Logic. $3 558909
650 0 $a Computer security. $3 557122
650 0 $a Logic, Symbolic and mathematical. $3 527823
650 0 $a Artificial intelligence. $3 559380
650 1 4 $a Computer Science. $3 593922
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 593924
650 2 4 $a Mathematical Logic and Formal Languages. $3 670059
650 2 4 $a Systems and Data Security. $3 677062
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer eBooks
830 0 $a Artificial intelligence: foundations, theory, and algorithms. $3 1067745
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-42337-1
950 $a Computer Science (Springer-11645)