Answer Set Programming for Continuous Domains: A Fuzzy Logic Approach - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Answer Set Programming for Continuous Domains: A Fuzzy Logic Approach write by Jeroen Janssen. This book was released on 2012-04-26. Answer Set Programming for Continuous Domains: A Fuzzy Logic Approach available in PDF, EPUB and Kindle. Answer set programming (ASP) is a declarative language tailored towards solving combinatorial optimization problems. It has been successfully applied to e.g. planning problems, configuration and verification of software, diagnosis and database repairs. However, ASP is not directly suitable for modeling problems with continuous domains. Such problems occur naturally in diverse fields such as the design of gas and electricity networks, computer vision and investment portfolios. To overcome this problem we study FASP, a combination of ASP with fuzzy logic -- a class of manyvalued logics that can handle continuity. We specifically focus on the following issues: 1. An important question when modeling continuous optimization problems is how we should handle overconstrained problems, i.e. problems that have no solutions. In many cases we can opt to accept an imperfect solution, i.e. a solution that does not satisfy all the stated rules (constraints). However, this leads to the question: what imperfect solutions should we choose? We investigate this question and improve upon the state-of-the-art by proposing an approach based on aggregation functions. 2. Users of a programming language often want a rich language that is easy to model in. However, implementers and theoreticians prefer a small language that is easy to implement and reason about. We create a bridge between these two desires by proposing a small core language for FASP and by showing that this language is capable of expressing many of its common extensions such as constraints, monotonically decreasing functions, aggregators, S-implicators and classical negation. 3. A well-known technique for solving ASP consists of translating a program P to a propositional theory whose models exactly correspond to the answer sets of P. We show how this technique can be generalized to FASP, paving the way to implement efficient fuzzy answer set solvers that can take advantage of existing fuzzy reasoners.
Computational Intelligence
Computational Intelligence - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Computational Intelligence write by Christophe Sabourin. This book was released on 2019-05-29. Computational Intelligence available in PDF, EPUB and Kindle. This book presents revised and extended versions of the best papers presented at the 9th International Joint Conference on Computational Intelligence (IJCCI 2017), held in Funchal, Madeira, from 1 to 3 November 2017. It focuses on four of the main fields of computational intelligence: evolutionary computation, fuzzy computation, neural computation, and cognitive and hybrid systems. As well as presenting the recent advances of these areas, it provides new and innovative solutions for established researchers and a source of information and/or inspiration those new to the field. Discussing innovative techniques in various application areas, it is a useful resource for individual researchers and a valuable addition to academic libraries (of universities and engineering schools).
A Guided Tour of Artificial Intelligence Research
A Guided Tour of Artificial Intelligence Research - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook A Guided Tour of Artificial Intelligence Research write by Pierre Marquis. This book was released on 2020-05-08. A Guided Tour of Artificial Intelligence Research available in PDF, EPUB and Kindle. The purpose of this book is to provide an overview of AI research, ranging from basic work to interfaces and applications, with as much emphasis on results as on current issues. It is aimed at an audience of master students and Ph.D. students, and can be of interest as well for researchers and engineers who want to know more about AI. The book is split into three volumes: - the first volume brings together twenty-three chapters dealing with the foundations of knowledge representation and the formalization of reasoning and learning (Volume 1. Knowledge representation, reasoning and learning) - the second volume offers a view of AI, in fourteen chapters, from the side of the algorithms (Volume 2. AI Algorithms) - the third volume, composed of sixteen chapters, describes the main interfaces and applications of AI (Volume 3. Interfaces and applications of AI). This second volume presents the main families of algorithms developed or used in AI to learn, to infer, to decide. Generic approaches to problem solving are presented: ordered heuristic search, as well as metaheuristics are considered. Algorithms for processing logic-based representations of various types (first-order formulae, propositional formulae, logic programs, etc.) and graphical models of various types (standard constraint networks, valued ones, Bayes nets, Markov random fields, etc.) are presented. The volume also focuses on algorithms which have been developed to simulate specific ‘intelligent” processes such as planning, playing, learning, and extracting knowledge from data. Finally, an afterword draws a parallel between algorithmic problems in operation research and in AI.
Enterprise Interoperability IX
Enterprise Interoperability IX - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Enterprise Interoperability IX write by Bernard Archimède. This book was released on 2023-02-18. Enterprise Interoperability IX available in PDF, EPUB and Kindle. This book gathers the proceedings of the I-ESA’20 Conference, which was organised by the National Engineering School of Tarbes (ENIT), on behalf of the European Virtual Laboratory, for Enterprise Interoperability (INTEROP-VLab) and the Pole Grand Sud-Ouest (PGSO) and was held virtually in Tarbes, France, in November 2020. It presents contributions ranging from academic research and case studies to industrial and administrative experiences with interoperability. These contributions show how, in a globalised market scenario—where the ability to cooperate with other organisations efficiently is essential in order to remain economically, socially and environmentally cost-effective—the most innovative digitised and networked enterprises ensure that their systems and applications can interoperate across heterogeneous collaborative networks of independent organisations. The focus of this edition of the conference is on interoperability in the era of artificial intelligence and so particular attention is paid to Industry 4.0 and the Internet of Things. The content also addresses smart services and the business impact of enterprise interoperability on organisations. Many of the papers in this tenth volume of the I-ESA Conference proceedings include examples and illustrations to help deepen readers’ understanding and generate new ideas. Offering a detailed guide to the state of the art in systems interoperability, the book will be of great value to all engineers and computer scientists working in manufacturing and other process industries, and to software engineers and electronic and manufacturing engineers working in academic settings.
Computational Intelligence Systems in Industrial Engineering
Computational Intelligence Systems in Industrial Engineering - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Computational Intelligence Systems in Industrial Engineering write by Cengiz Kahraman. This book was released on 2012-11-05. Computational Intelligence Systems in Industrial Engineering available in PDF, EPUB and Kindle. Industrial engineering is a branch of engineering dealing with the optimization of complex processes or systems. It is concerned with the development, improvement, implementation and evaluation of production and service systems. Computational Intelligence Systems find a wide application area in industrial engineering: neural networks in forecasting, fuzzy sets in capital budgeting, ant colony optimization in scheduling, Simulated Annealing in optimization, etc. This book will include most of the application areas of industrial engineering through these computational intelligence systems. In the literature, there is no book including many real and practical applications of Computational Intelligence Systems from the point of view of Industrial Engineering. Every chapter will include explanatory and didactic applications. It is aimed that the book will be a main source for MSc and PhD students.
