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Scalable Uncertainty Management, Schockaert


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Цена: 8106.00р.
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Автор: Schockaert
Название:  Scalable Uncertainty Management
ISBN: 9783319458557
Издательство: Springer
Классификация:



ISBN-10: 3319458558
Обложка/Формат: Paperback
Страницы: 361
Вес: 0.58 кг.
Дата издания: 2016
Серия: Lecture Notes in Artificial Intelligence
Язык: English
Иллюстрации: 64 black & white illustrations, biography
Размер: 234 x 156 x 20
Читательская аудитория: Professional & vocational
Основная тема: Computer Science
Подзаголовок: 10th International Conference, SUM 2016, Nice, France, September 21-23, 2016, Proceedings
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: 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.


Дополнительное описание: 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 Multi



Scalable Uncertainty Management

Автор: Lluis Godo; Andrea Pugliese
Название: Scalable Uncertainty Management
ISBN: 3642043879 ISBN-13(EAN): 9783642043871
Издательство: Springer
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Цена: 10480.00 р.
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Описание: This volume contains the papers presented at the Third International Conference on Scalable Uncertainty Management, SUM 2009, in Washington, DC, September 28-30, 2009.

Real-World Reasoning: Toward Scalable, Uncertain Spatiotemporal,  Contextual and Causal Inference

Автор: Ben Goertzel; Nil Geisweiller; Lucio Coelho; Predr
Название: Real-World Reasoning: Toward Scalable, Uncertain Spatiotemporal, Contextual and Causal Inference
ISBN: 9462390533 ISBN-13(EAN): 9789462390539
Издательство: Springer
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Цена: 13974.00 р.
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Описание: The general problem addressed in this book is a large and important one: how to usefully deal with huge storehouses of complex information about real-world situations.

Trends in Practical Applications of Scalable Multi-Agent Systems, the PAAMS Collection

Автор: de la Prieta
Название: Trends in Practical Applications of Scalable Multi-Agent Systems, the PAAMS Collection
ISBN: 3319401580 ISBN-13(EAN): 9783319401584
Издательство: Springer
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Цена: 22359.00 р.
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Описание: PAAMS, the International Conference on Practical Applications of Agents and Multi-Agent Systems is an evolution of the International Workshop on Practical Applications of Agents and Multi-Agent Systems. PAAMS is an international yearly tribune to present, to discuss, and to disseminate the latest developments and the most important outcomes related to real-world applications. It provides a unique opportunity to bring multi-disciplinary experts, academics and practitioners together to exchange their experience in the development of Agents and Multi-Agent Systems. This volume presents the papers that have been accepted for the 2016 in the special sessions: Agents Behaviours and Artificial Markets (ABAM); Advances on Demand Response and Renewable Energy Sources in Agent Based Smart Grids (ADRESS); Agents and Mobile Devices (AM); Agent Methodologies for Intelligent Robotics Applications (AMIRA); Learning, Agents and Formal Languages (LAFLang); Multi-Agent Systems and Ambient Intelligence (MASMAI); Web Mining and Recommender systems (WebMiRes). The volume also includes the paper accepted for the Doctoral Consortium in PAAMS 2016 and Collocated Events.

Information Processing and Management of Uncertainty in Knowledge-Based Systems

Автор: Eyke H?llermeier; Rudolf Kruse; Frank Hoffmann
Название: Information Processing and Management of Uncertainty in Knowledge-Based Systems
ISBN: 3642140572 ISBN-13(EAN): 9783642140570
Издательство: Springer
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Цена: 20962.00 р.
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Описание: Constitutes the proceedings of the 13th conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, held in Dortmund, Germany, in June 2010.

Information Processing and Management of Uncertainty in Knowledge-Based Systems

Автор: Eyke H?llermeier; Rudolf Kruse; Frank Hoffmann
Название: Information Processing and Management of Uncertainty in Knowledge-Based Systems
ISBN: 3642140548 ISBN-13(EAN): 9783642140549
Издательство: Springer
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Цена: 20962.00 р.
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Описание: The International Conference on Information Processing and Management of - certainty in Knowledge-Based Systems, IPMU, is organized every two years with the aim of bringing together scientists working on methods for the management of uncertainty and aggregation of information in intelligent systems.

Intelligent Systems in Oil Field Development under Uncertainty

Автор: Marco A. C. Pacheco; Marley M. B. R. Vellasco
Название: Intelligent Systems in Oil Field Development under Uncertainty
ISBN: 3642100961 ISBN-13(EAN): 9783642100963
Издательство: Springer
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Цена: 23508.00 р.
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Описание: The decision to invest in oil field development is an extremely complex problem. This book is a result of about four years of research in this area. It presents applications of intelligent decision support systems to oil field development under uncertainty.

Symbolic and Quantitative Approaches to Reasoning with Uncertainty

Автор: Claudio Sossai; Gaetano Chemello
Название: Symbolic and Quantitative Approaches to Reasoning with Uncertainty
ISBN: 3642029051 ISBN-13(EAN): 9783642029059
Издательство: Springer
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Цена: 20962.00 р.
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Описание: This book constitutes the refereed proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2009, held in Verona, Italy, July 1-3, 2009.

Modeling Uncertainty with Fuzzy Logic

Автор: Asli Celikyilmaz; I. Burhan T?rksen
Название: Modeling Uncertainty with Fuzzy Logic
ISBN: 3642100635 ISBN-13(EAN): 9783642100635
Издательство: Springer
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Цена: 27251.00 р.
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Описание: This book presents an uncertainty modeling approach using a new type of fuzzy system model via "Fuzzy Functions". It also reviews standard tools of fuzzy system modeling approaches to demonstrate the novelty of the structurally different fuzzy function.

Flexible Databases Supporting Imprecision and Uncertainty

Автор: Gloria Bordogna; Giuseppe Psaila
Название: Flexible Databases Supporting Imprecision and Uncertainty
ISBN: 3642421652 ISBN-13(EAN): 9783642421655
Издательство: Springer
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Цена: 29209.00 р.
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Описание: This volume offers the advice of selected expert contributors on the application of heterogeneous methods for managing uncertainty and imprecision in databases. It contains both survey chapters on classic topics such as "flexible querying in databases", and up to date information on "database models to represent imperfect data".


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