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Subjective logic[electronic resource] :a formalism for reasoning under uncertainty /

紀錄類型:	書目-電子資源 : Monograph/item
杜威分類號:	005.1015113
書名/作者:	Subjective logic : a formalism for reasoning under uncertainty // by Audun Josang.
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.
標題:	Uncertainty (Information theory)
標題:	Formal methods (Computer science)
標題:	Computer science.
標題:	Logic.
標題:	Computer security.
標題:	Logic, Symbolic and mathematical.
標題:	Artificial intelligence.
標題:	Computer Science.
標題:	Artificial Intelligence (incl. Robotics)
標題:	Mathematical Logic and Formal Languages.
標題:	Systems and Data Security.
ISBN:	9783319423371
ISBN:	9783319423357
內容註:	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.
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-3-319-42337-1

Subjective logic[electronic resource] :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:

195634
Computer logic.

LC Class. No.: QA76.9.L63

Dewey Class. No.: 005.1015113

Subjective logic[electronic resource] :a formalism for reasoning under uncertainty /
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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.
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