Information Modelling and Knowledge Bases XXII

Information Modelling and Knowledge Bases XXII
Author :
Publisher : IOS Press
Total Pages : 460
Release :
ISBN-10 : 9781607506898
ISBN-13 : 1607506890
Rating : 4/5 (98 Downloads)

Book Synopsis Information Modelling and Knowledge Bases XXII by : Anneli Heimbürger

Download or read book Information Modelling and Knowledge Bases XXII written by Anneli Heimbürger and published by IOS Press. This book was released on 2011 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Knowledge-Based Configuration

Knowledge-Based Configuration
Author :
Publisher : Newnes
Total Pages : 383
Release :
ISBN-10 : 9780124158696
ISBN-13 : 0124158692
Rating : 4/5 (96 Downloads)

Book Synopsis Knowledge-Based Configuration by : Alexander Felfernig

Download or read book Knowledge-Based Configuration written by Alexander Felfernig and published by Newnes. This book was released on 2014-04-02 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge-based Configuration incorporates knowledge representation formalisms to capture complex product models and reasoning methods to provide intelligent interactive behavior with the user. This book represents the first time that corporate and academic worlds collaborate integrating research and commercial benefits of knowledge-based configuration. Foundational interdisciplinary material is provided for composing models from increasingly complex products and services. Case studies, the latest research, and graphical knowledge representations that increase understanding of knowledge-based configuration provide a toolkit to continue to push the boundaries of what configurators can do and how they enable companies and customers to thrive. - Includes detailed discussion of state-of-the art configuration knowledge engineering approaches such as automated testing and debugging, redundancy detection, and conflict management - Provides an overview of the application of knowledge-based configuration technologies in the form of real-world case studies from SAP, Siemens, Kapsch, and more - Explores the commercial benefits of knowledge-based configuration technologies to business sectors from services to industrial equipment - Uses concepts that are based on an example personal computer configuration knowledge base that is represented in an UML-based graphical language

A Short Introduction to Preferences

A Short Introduction to Preferences
Author :
Publisher : Springer Nature
Total Pages : 90
Release :
ISBN-10 : 9783031015564
ISBN-13 : 3031015568
Rating : 4/5 (64 Downloads)

Book Synopsis A Short Introduction to Preferences by : Francesca Bellet

Download or read book A Short Introduction to Preferences written by Francesca Bellet and published by Springer Nature. This book was released on 2022-06-01 with total page 90 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational social choice is an expanding field that merges classical topics like economics and voting theory with more modern topics like artificial intelligence, multiagent systems, and computational complexity. This book provides a concise introduction to the main research lines in this field, covering aspects such as preference modelling, uncertainty reasoning, social choice, stable matching, and computational aspects of preference aggregation and manipulation. The book is centered around the notion of preference reasoning, both in the single-agent and the multi-agent setting. It presents the main approaches to modeling and reasoning with preferences, with particular attention to two popular and powerful formalisms, soft constraints and CP-nets. The authors consider preference elicitation and various forms of uncertainty in soft constraints. They review the most relevant results in voting, with special attention to computational social choice. Finally, the book considers preferences in matching problems. The book is intended for students and researchers who may be interested in an introduction to preference reasoning and multi-agent preference aggregation, and who want to know the basic notions and results in computational social choice. Table of Contents: Introduction / Preference Modeling and Reasoning / Uncertainty in Preference Reasoning / Aggregating Preferences / Stable Marriage Problems

The Handbook on Reasoning-Based Intelligent Systems

The Handbook on Reasoning-Based Intelligent Systems
Author :
Publisher : World Scientific
Total Pages : 680
Release :
ISBN-10 : 9789814329484
ISBN-13 : 9814329487
Rating : 4/5 (84 Downloads)

Book Synopsis The Handbook on Reasoning-Based Intelligent Systems by : Kazumi Nakamatsu

Download or read book The Handbook on Reasoning-Based Intelligent Systems written by Kazumi Nakamatsu and published by World Scientific. This book was released on 2013 with total page 680 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book consists of various contributions in conjunction with the keywords OC reasoningOCO and OC intelligent systemsOCO, which widely covers theoretical to practical aspects of intelligent systems. Therefore, it is suitable for researchers or graduate students who want to study intelligent systems generally."

Professional Search in the Modern World

Professional Search in the Modern World
Author :
Publisher : Springer
Total Pages : 284
Release :
ISBN-10 : 9783319125114
ISBN-13 : 3319125117
Rating : 4/5 (14 Downloads)

Book Synopsis Professional Search in the Modern World by : Georgios Paltoglou

Download or read book Professional Search in the Modern World written by Georgios Paltoglou and published by Springer. This book was released on 2014-10-23 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: This State-of-the-Art Survey constitutes the Final Publication of the COST Action IC1002 on Multilingual and Multifaceted Interactive Information Access, MUMIA. It contains outstanding research, recent developments and new directions in all related aspects of multifaceted and interactive information access with a focus on professional and enterprise search. The contributions are grouped in the following three parts: frameworks, models and theory; tools, applications and practice; and patent search. The Intellectual Property (IP) domain is used through the book as a primary case study. The book aims to bring together material which has been published in a fragmentary way in journals and conference papers into a coherent whole but also present novel, unpublished work where appropriate.

Machine Learning and Knowledge Discovery in Databases

Machine Learning and Knowledge Discovery in Databases
Author :
Publisher : Springer
Total Pages : 891
Release :
ISBN-10 : 9783642334863
ISBN-13 : 3642334865
Rating : 4/5 (63 Downloads)

Book Synopsis Machine Learning and Knowledge Discovery in Databases by : Peter A. Flach

Download or read book Machine Learning and Knowledge Discovery in Databases written by Peter A. Flach and published by Springer. This book was released on 2012-09-11 with total page 891 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set LNAI 7523 and LNAI 7524 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2012, held in Bristol, UK, in September 2012. The 105 revised research papers presented together with 5 invited talks were carefully reviewed and selected from 443 submissions. The final sections of the proceedings are devoted to Demo and Nectar papers. The Demo track includes 10 papers (from 19 submissions) and the Nectar track includes 4 papers (from 14 submissions). The papers grouped in topical sections on association rules and frequent patterns; Bayesian learning and graphical models; classification; dimensionality reduction, feature selection and extraction; distance-based methods and kernels; ensemble methods; graph and tree mining; large-scale, distributed and parallel mining and learning; multi-relational mining and learning; multi-task learning; natural language processing; online learning and data streams; privacy and security; rankings and recommendations; reinforcement learning and planning; rule mining and subgroup discovery; semi-supervised and transductive learning; sensor data; sequence and string mining; social network mining; spatial and geographical data mining; statistical methods and evaluation; time series and temporal data mining; and transfer learning.

Nature Inspired Cooperative Strategies for Optimization (NICSO 2013)

Nature Inspired Cooperative Strategies for Optimization (NICSO 2013)
Author :
Publisher : Springer
Total Pages : 357
Release :
ISBN-10 : 9783319016924
ISBN-13 : 331901692X
Rating : 4/5 (24 Downloads)

Book Synopsis Nature Inspired Cooperative Strategies for Optimization (NICSO 2013) by : German Terrazas

Download or read book Nature Inspired Cooperative Strategies for Optimization (NICSO 2013) written by German Terrazas and published by Springer. This book was released on 2013-08-15 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biological and other natural processes have always been a source of inspiration for computer science and information technology. Many emerging problem solving techniques integrate advanced evolution and cooperation strategies, encompassing a range of spatio-temporal scales for visionary conceptualization of evolutionary computation. This book is a collection of research works presented in the VI International Workshop on Nature Inspired Cooperative Strategies for Optimization (NICSO) held in Canterbury, UK. Previous editions of NICSO were held in Granada, Spain (2006 & 2010), Acireale, Italy (2007), Tenerife, Spain (2008), and Cluj-Napoca, Romania (2011). NICSO 2013 and this book provides a place where state-of-the-art research, latest ideas and emerging areas of nature inspired cooperative strategies for problem solving are vigorously discussed and exchanged among the scientific community. The breadth and variety of articles in this book report on nature inspired methods and applications such as Swarm Intelligence, Hyper-heuristics, Evolutionary Algorithms, Cellular Automata, Artificial Bee Colony, Dynamic Optimization, Support Vector Machines, Multi-Agent Systems, Ant Clustering, Evolutionary Design Optimisation, Game Theory and other several Cooperation Models.