大葉大學圖書館 |

Scalable uncertainty management[electronic resource] :10th International Conference, SUM 2016, Nice, France, September 21-23, 2016 : proceedings /

紀錄類型:	書目-電子資源 : Monograph/item
杜威分類號:	003.54
書名/作者:	Scalable uncertainty management : 10th International Conference, SUM 2016, Nice, France, September 21-23, 2016 : proceedings // edited by Steven Schockaert, Pierre Senellart.
其他題名:	SUM 2016
其他作者:	Schockaert, Steven.
團體作者:	Clark Conference
出版者:	Cham : : Springer International Publishing :, 2016.
面頁冊數:	xi, 361 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Uncertainty (Information theory)
標題:	Computer Science.
標題:	Artificial Intelligence (incl. Robotics)
標題:	Database Management.
標題:	Information Systems Applications (incl. Internet)
標題:	Information Storage and Retrieval.
標題:	Mathematical Logic and Formal Languages.
標題:	Algorithm Analysis and Problem Complexity.
ISBN:	9783319458564
ISBN:	9783319458557
內容註:	Combinatorial Games: From Theoretical Solving to AI Algorithms -- A Gentle Introduction to Reinforcement Learning -- Possibilistic Graphical Models for Uncertainty Modeling -- On the Explanation of SameAs Statements using Argumentation -- Reasoning with Multiple-Agent Possibilistic Logic -- Incremental Preference Elicitation in Multi-Attribute Domains for Choice and Ranking with the Borda Count -- Graphical Models for Preference Representation: An Overview -- Diffusion of Opinion and Influence -- Fuzzy Labeling for Abstract Argumentation: An Empirical Evaluation -- A Belief-Based Approach to Measuring Message Acceptability -- Intertranslatability of Labeling-based Argumentation Semantics -- Preference Inference Based on Pareto Models -- Persuasion Dialogues via Restricted Interfaces using Probabilistic Argumentation -- Metric Logic Program Explanations for Complex Separator Functions -- A Two-Stage Online Approach for Collaborative Multi-Agent Planning under Uncertainty -- 9-ASP for Computing Repairs with Existential Ontologies -- Probabilistic Reasoning in the Description Logic ALCP with the Principle of Maximum Entropy -- Fuzzy Quantified Structural Queries to Fuzzy Graph Databases -- Reasoning with Data - A New Challenge For AI -- Probabilistic Spatial Reasoning in Constraint Logic Programming -- ChoiceGAPs: Competitive Diffusion as a Massive Multi-Player Game in Social Networks -- Challenges for Efficient Query Evaluation on Structured Probabilistic Data -- Forgetting-Based Inconsistency Measure -- A Possibilistic Multivariate Fuzzy c-Means Clustering Algorithm -- A Measure of Referential Success Based on Alpha-Cuts -- Graded Justification of Arguments via Internal and External Endogenous Features.
摘要、提要註:	This book constitutes the refereed proceedings of the 10th International Conference on Scalable Uncertainty Management, SUM 2016, held in Nice, France, in September 2016. The 18 regular papers and 5 short papers were carefully reviewed and selected from 35 submissions. Papers are solicited in all areas of managing and reasoning with substantial and complex kinds of uncertain, incomplete or inconsistent information. These include (but are not restricted to) applications in decision support systems, risk analysis, machine learning, belief networks, logics of uncertainty, belief revision and update, argumentation, negotiation technologies, semantic web applications, search engines, ontology systems, information fusion, information retrieval, natural language processing, information extraction, image recognition, vision systems, data and text mining, and the consideration of issues such as provenance, trust, heterogeneity, and complexity of data and knowledge.
電子資源:	http://dx.doi.org/10.1007/978-3-319-45856-4

Scalable uncertainty management[electronic resource] :10th International Conference, SUM 2016, Nice, France, September 21-23, 2016 : proceedings /
Scalable uncertainty management10th International Conference, SUM 2016, Nice, France, September 21-23, 2016 : proceedings /[electronic resource] :SUM 2016edited by Steven Schockaert, Pierre Senellart. - Cham :Springer International Publishing :2016. - xi, 361 p. :ill., digital ;24 cm. - Lecture notes in computer science,98580302-9743 ;. - Lecture notes in computer science ;7103..

Combinatorial Games: From Theoretical Solving to AI Algorithms -- A Gentle Introduction to Reinforcement Learning -- Possibilistic Graphical Models for Uncertainty Modeling -- On the Explanation of SameAs Statements using Argumentation -- Reasoning with Multiple-Agent Possibilistic Logic -- Incremental Preference Elicitation in Multi-Attribute Domains for Choice and Ranking with the Borda Count -- Graphical Models for Preference Representation: An Overview -- Diffusion of Opinion and Influence -- Fuzzy Labeling for Abstract Argumentation: An Empirical Evaluation -- A Belief-Based Approach to Measuring Message Acceptability -- Intertranslatability of Labeling-based Argumentation Semantics -- Preference Inference Based on Pareto Models -- Persuasion Dialogues via Restricted Interfaces using Probabilistic Argumentation -- Metric Logic Program Explanations for Complex Separator Functions -- A Two-Stage Online Approach for Collaborative Multi-Agent Planning under Uncertainty -- 9-ASP for Computing Repairs with Existential Ontologies -- Probabilistic Reasoning in the Description Logic ALCP with the Principle of Maximum Entropy -- Fuzzy Quantified Structural Queries to Fuzzy Graph Databases -- Reasoning with Data - A New Challenge For AI -- Probabilistic Spatial Reasoning in Constraint Logic Programming -- ChoiceGAPs: Competitive Diffusion as a Massive Multi-Player Game in Social Networks -- Challenges for Efficient Query Evaluation on Structured Probabilistic Data -- Forgetting-Based Inconsistency Measure -- A Possibilistic Multivariate Fuzzy c-Means Clustering Algorithm -- A Measure of Referential Success Based on Alpha-Cuts -- Graded Justification of Arguments via Internal and External Endogenous Features.

This book constitutes the refereed proceedings of the 10th International Conference on Scalable Uncertainty Management, SUM 2016, held in Nice, France, in September 2016. The 18 regular papers and 5 short papers were carefully reviewed and selected from 35 submissions. Papers are solicited in all areas of managing and reasoning with substantial and complex kinds of uncertain, incomplete or inconsistent information. These include (but are not restricted to) applications in decision support systems, risk analysis, machine learning, belief networks, logics of uncertainty, belief revision and update, argumentation, negotiation technologies, semantic web applications, search engines, ontology systems, information fusion, information retrieval, natural language processing, information extraction, image recognition, vision systems, data and text mining, and the consideration of issues such as provenance, trust, heterogeneity, and complexity of data and knowledge.

ISBN: 9783319458564

Standard No.: 10.1007/978-3-319-45856-4doiSubjects--Topical Terms:

369777
Uncertainty (Information theory)

LC Class. No.: Q375

Dewey Class. No.: 003.54

Scalable uncertainty management[electronic resource] :10th International Conference, SUM 2016, Nice, France, September 21-23, 2016 : proceedings /
LDR:03843nmm a2200349 a 4500 001 465536
003 DE-He213
005 20160829184005.0
006 m d
007 cr nn 008maaau
008 170411s2016 gw s 0 eng d
020 $a 9783319458564 $q (electronic bk.)
020 $a 9783319458557 $q (paper)
024 7 $a 10.1007/978-3-319-45856-4 $2 doi
035 $a 978-3-319-45856-4
040 $a GP $c GP
041 0 $a eng
050 4 $a Q375
072 7 $a UYQ $2 bicssc
072 7 $a TJFM1 $2 bicssc
072 7 $a COM004000 $2 bisacsh
082 0 4 $a 003.54 $2 23
090 $a Q375 $b .S955 2016
111 2 $a Clark Conference $d (2005 : $c Sterling and Francine Clark Art Institute) $3 347558
245 1 0 $a Scalable uncertainty management $h [electronic resource] : $b 10th International Conference, SUM 2016, Nice, France, September 21-23, 2016 : proceedings / $c edited by Steven Schockaert, Pierre Senellart.
246 3 $a SUM 2016
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a xi, 361 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 0302-9743 ; $v 9858
505 0 $a Combinatorial Games: From Theoretical Solving to AI Algorithms -- A Gentle Introduction to Reinforcement Learning -- Possibilistic Graphical Models for Uncertainty Modeling -- On the Explanation of SameAs Statements using Argumentation -- Reasoning with Multiple-Agent Possibilistic Logic -- Incremental Preference Elicitation in Multi-Attribute Domains for Choice and Ranking with the Borda Count -- Graphical Models for Preference Representation: An Overview -- Diffusion of Opinion and Influence -- Fuzzy Labeling for Abstract Argumentation: An Empirical Evaluation -- A Belief-Based Approach to Measuring Message Acceptability -- Intertranslatability of Labeling-based Argumentation Semantics -- Preference Inference Based on Pareto Models -- Persuasion Dialogues via Restricted Interfaces using Probabilistic Argumentation -- Metric Logic Program Explanations for Complex Separator Functions -- A Two-Stage Online Approach for Collaborative Multi-Agent Planning under Uncertainty -- 9-ASP for Computing Repairs with Existential Ontologies -- Probabilistic Reasoning in the Description Logic ALCP with the Principle of Maximum Entropy -- Fuzzy Quantified Structural Queries to Fuzzy Graph Databases -- Reasoning with Data - A New Challenge For AI -- Probabilistic Spatial Reasoning in Constraint Logic Programming -- ChoiceGAPs: Competitive Diffusion as a Massive Multi-Player Game in Social Networks -- Challenges for Efficient Query Evaluation on Structured Probabilistic Data -- Forgetting-Based Inconsistency Measure -- A Possibilistic Multivariate Fuzzy c-Means Clustering Algorithm -- A Measure of Referential Success Based on Alpha-Cuts -- Graded Justification of Arguments via Internal and External Endogenous Features.
520 $a This book constitutes the refereed proceedings of the 10th International Conference on Scalable Uncertainty Management, SUM 2016, held in Nice, France, in September 2016. The 18 regular papers and 5 short papers were carefully reviewed and selected from 35 submissions. Papers are solicited in all areas of managing and reasoning with substantial and complex kinds of uncertain, incomplete or inconsistent information. These include (but are not restricted to) applications in decision support systems, risk analysis, machine learning, belief networks, logics of uncertainty, belief revision and update, argumentation, negotiation technologies, semantic web applications, search engines, ontology systems, information fusion, information retrieval, natural language processing, information extraction, image recognition, vision systems, data and text mining, and the consideration of issues such as provenance, trust, heterogeneity, and complexity of data and knowledge.
650 0 $a Uncertainty (Information theory) $3 369777
650 1 4 $a Computer Science. $3 423143
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 463642
650 2 4 $a Database Management. $3 463966
650 2 4 $a Information Systems Applications (incl. Internet) $3 463679
650 2 4 $a Information Storage and Retrieval. $3 464540
650 2 4 $a Mathematical Logic and Formal Languages. $3 463478
650 2 4 $a Algorithm Analysis and Problem Complexity. $3 463701
700 1 $a Schockaert, Steven. $3 469841
700 1 $a Senellart, Pierre. $3 669628
710 2 $a SpringerLink (Online service) $3 463450
773 0 $t Springer eBooks
830 0 $a Lecture notes in computer science ; $v 7103. $3 466200
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-45856-4
950 $a Computer Science (Springer-11645)