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Artificial Intelligence with Uncertainty, 


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Название:  Artificial Intelligence with Uncertainty
ISBN: 9781498776264
Издательство: Taylor&Francis
Классификация:
ISBN-10: 1498776264
Обложка/Формат: Hardback
Страницы: 290
Вес: 0.58 кг.
Дата издания: 08.05.2017
Язык: English
Издание: 2 ed
Иллюстрации: 29 tables, black and white; 87 line drawings, black and white; 64 halftones, black and white; 151 illustrations, black and white
Размер: 164 x 243 x 22
Ссылка на Издательство: Link
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Поставляется из: Европейский союз


      Старое издание
Artificial Intelligence with Uncertainty

Автор: Li
Название: Artificial Intelligence with Uncertainty
ISBN: 1584889985 ISBN-13(EAN): 9781584889984
Издательство: Taylor&Francis
Цена: 17609.00 р.
Наличие на складе: Поставка под заказ.
Описание: Through mathematical theories, models, and experimental computations, this book explores the uncertainties of knowledge and intelligence that occur during the cognitive processes of human beings. It describes the cloud model, its uncertainties of randomness and fuzziness, and the correlation between them. The book also centers on other physical methods for data mining, such as the data field and knowledge discovery state space. In addition, it presents an inverted pendulum example to discuss reasoning and control with uncertain knowledge as well as provides a cognitive physics model to visualize human thinking with hierarchy.


We, the Robots?: Regulating Artificial Intelligence and the Limits of the Law

Автор: Chesterman Simon
Название: We, the Robots?: Regulating Artificial Intelligence and the Limits of the Law
ISBN: 1316517683 ISBN-13(EAN): 9781316517680
Издательство: Cambridge Academ
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Цена: 5702.00 р.
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Описание: Should we regulate artificial intelligence? Can we? From self-driving cars and high-speed trading to algorithmic decision-making, the way we live, work, and play is increasingly dependent on AI systems. This book examines how our laws are dealing with AI, as well as what additional rules and institutions are needed.

Symbolic and Quantitative Approaches to Reasoning with Uncertainty

Автор: S?bastien Destercke; Thierry Denoeux
Название: Symbolic and Quantitative Approaches to Reasoning with Uncertainty
ISBN: 3319208063 ISBN-13(EAN): 9783319208060
Издательство: Springer
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Цена: 10062.00 р.
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Описание: This book constitutes the refereed proceedings of the 13th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2015, held in Compiegne, France, in July 2015.

Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations

Автор: Medina
Название: Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations
ISBN: 3319914758 ISBN-13(EAN): 9783319914756
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This three volume set (CCIS 853-855) constitutes the proceedings of the 17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2017, held in Cadiz, Spain, in June 2018. The 193 revised full papers were carefully reviewed and selected from 383 submissions.

Scalable Uncertainty Management

Автор: Davide Ciucci; Gabriella Pasi; Barbara Vantaggi
Название: Scalable Uncertainty Management
ISBN: 3030004600 ISBN-13(EAN): 9783030004606
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book constitutes the refereed proceedings of the 12th International Conference on Scalable Uncertainty Management, SUM 2018, which was held in Milan, Italy, in October 2018.

Artificial intelligence methods for optimization of the software testing process

Автор: Tahvili, Sahar (operations Team Leader, Ericsson Ab And Researcher, Malardalen University, Vasteras, Sweden) Hatvani, Leo (lecturer, Malardalen Univer
Название: Artificial intelligence methods for optimization of the software testing process
ISBN: 0323919138 ISBN-13(EAN): 9780323919135
Издательство: Elsevier Science
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Цена: 19370.00 р.
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Описание: This all-new Pathfinder (R) Guide covers two stunning island destinations in one unique volume - In Orkney, eight walks feature on the largest island, Mainland, with another six located on Hoy, Rousay and South Ronaldsay. In Shetland, seven routes explore Mainland, with seven more rambles on Bressay, Mousa, St Ninian`s Isle, Unst, West Burra and Y

Subjective Logic: A Formalism for Reasoning Under Uncertainty (Artificial Intelligence: Foundations, Theory, and Algorithms) 1st ed. 2016 Edition, Kindle Edition by Audun J?sang (Author)

Название: Subjective Logic: A Formalism for Reasoning Under Uncertainty (Artificial Intelligence: Foundations, Theory, and Algorithms) 1st ed. 2016 Edition, Kindle Edition by Audun J?sang (Author)
ISBN: 3319825550 ISBN-13(EAN): 9783319825557
Издательство: Springer
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Цена: 25155.00 р.
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Описание: 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.

Scalable Uncertainty Management

Автор: Sergio Greco
Название: Scalable Uncertainty Management
ISBN: 3540879927 ISBN-13(EAN): 9783540879923
Издательство: Springer
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Цена: 10480.00 р.
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Описание: Constitutes the refereed proceedings of the Second International Conference on Scalable Uncertainty Management, SUM 2008, held in Naples, Italy, in October 2008.

Symbolic and Quantiative Approaches to Resoning with Uncertainty

Автор: Linda C. van der Gaag
Название: Symbolic and Quantiative Approaches to Resoning with Uncertainty
ISBN: 3642390900 ISBN-13(EAN): 9783642390906
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book constitutes the refereed proceedings of the 12th EuropeanConference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2013, held in Utrecht, The Netherlands, in July 2013.

Symbolic and Quantitative Approaches to Reasoning with Uncertainty: 15th European Conference, Ecsqaru 2019, Belgrade, Serbia, September 18-20, 2019, P

Автор: Kern-Isberner Gabriele, Ognjanovic Zoran
Название: Symbolic and Quantitative Approaches to Reasoning with Uncertainty: 15th European Conference, Ecsqaru 2019, Belgrade, Serbia, September 18-20, 2019, P
ISBN: 3030297640 ISBN-13(EAN): 9783030297640
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book constitutes the refereed proceedings of the 15th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2019, held in Belgrade, Serbia, in September 2019.

The 41 full papers presented together with 3 abstracts of invited talks inn this volume were carefully reviewed and selected from 62 submissions. The papers are organized in topical sections named: Argumentation; Belief Functions; Conditional, Default and Analogical Reasoning; Learning and Decision Making; Precise and Imprecise Probabilities; and Uncertain Reasoning for Applications.

Scalable Uncertainty Management

Автор: Schockaert
Название: Scalable Uncertainty Management
ISBN: 3319458558 ISBN-13(EAN): 9783319458557
Издательство: Springer
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Цена: 8106.00 р.
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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.

Representing Plans Under Uncertainty

Автор: Peter Haddawy
Название: Representing Plans Under Uncertainty
ISBN: 3540576975 ISBN-13(EAN): 9783540576976
Издательство: Springer
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Цена: 7685.00 р.
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Описание: This monograph integrates AI and decision-theoretic approaches to the representation of planning problems by developing a first-order logic of time, chance, and action for representing and reasoning about plans. The semantics of the logic incorporates intuitive properties of time, chance, and action central to the planning problem.

IPMU`92 - Advanced Methods in Artificial Intelligence

Автор: Bernadette Bouchon-Meunier; Llorenc Valverde; Rona
Название: IPMU`92 - Advanced Methods in Artificial Intelligence
ISBN: 3540567356 ISBN-13(EAN): 9783540567356
Издательство: Springer
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Цена: 11179.00 р.
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Описание: The papers in this volume are based on presentations at the fourth IPMU Conference, held in Palma de Mallorca, July 6-10, 1992. The conference focused on issues related to the acquisition, representation, management and transmission of information in knowledge-based and decision-making systems.


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