Author : Ron Sun
Publisher : Wiley-Interscience
Page : 304 pages
File Size : 24,79 MB
Release : 1994-02-21
Category : Computers
ISBN :
Along with this framework, the book proposes a set of interrelated new ideas regarding the modeling of commonsense reasoning which are highly relevant to current research in AI and cognitive science and the ongoing methodological debate.
Author :
Publisher :
Page : 744 pages
File Size : 20,40 MB
Release : 1992
Category : Computer engineering
ISBN :
Author : Mohammad Jamshidi
Publisher : American Society of Mechanical Engineers
Page : 1042 pages
File Size : 31,73 MB
Release : 1992
Category : Technology & Engineering
ISBN : 9780791800300
This series deals with the worldwide economic effects of automation on manufacturing processes. Robotics and Manufacturing is an exhaustive source of scientific and technical progress by top international researchers. Its contents are invaluable for tracking the trends and directions of this important field. Unrivaled in its complete and far-ranging coverage, these volumes are packed with the highest quality research, covering: - robot kinematics, dynamics, analysis, and design - sensing and sensors - robot control - parallel and redundant robots - telerobotics and space applications of robots - flexible and mobile robots - fuzzy logic applications in robots and manufacturing - intelligent systems and intelligent manufacturing - design and economics of manufacturing systems.
Author : Jay Liebowitz
Publisher : CRC Press
Page : 740 pages
File Size : 42,95 MB
Release : 2019-07-23
Category : Computers
ISBN : 0429606974
The Handbook of Applied Expert Systems is a landmark work dedicated solely to this rapidly advancing area of study. Edited by Jay Liebowitz, a professor, author, and consultant known around the world for his work in the field, this authoritative source covers the latest expert system technologies, applications, methodologies, and practices. The book features contributions from more than 40 of the world's foremost expert systems authorities in industry, government, and academia. The Handbook is organized into two major sections. The first section explains expert systems technologies while the second section focuses on applied examples in a wide variety of industries. Key topics covered include fuzzy systems, genetic algorithm development, machine learning, knowledge representation, and much more.
Author : Manuel Ojeda-Aciego
Publisher : Springer Science & Business Media
Page : 418 pages
File Size : 25,40 MB
Release : 2000-09-20
Category : Computers
ISBN : 3540411313
This book constitutes the refereed proceedings of the European Workshop on Logics in Artificial Intelligence, JELIA 2000, held in Malaga, Spain in September/October 2000. The 24 revised full papers presented together with three invited papers were carefully reviewed and selected out of 60 submissions. The papers are organized in topical sections on knowledge representation, reasoning about actions, belief revision, theorem proving, argumentation, agents, decidability and complexity, updates, and preferences.
Author : Amihai Motro
Publisher : Springer Science & Business Media
Page : 490 pages
File Size : 21,25 MB
Release : 1996-12-31
Category : Business & Economics
ISBN : 9780792398035
Uncertainty Management in Information Systems: From Needs to Solutions is a book about how information systems can be made to manage information permeated with uncertainty. This subject is at the intersection of two areas of knowledge: information systems is an area that concentrates on the design of practical systems that can store and retrieve information; uncertainty modeling is an area in artificial intelligence concerned with accurate representation of uncertain information and with inference and decision-making under conditions infused with uncertainty. The first part of this book describes issues and challenges in the area of imperfect information that confront information systems, and the second part covers the principal theories for modeling imperfect information, and shows how these theories may be adapted to information systems. All chapters are original contributions and present solutions that have been applied and the experiences that have been gained from those solutions. The material has been closely edited by the book's editors for content, consistency and style. This authoritative book is state-of-the-art coverage of `Uncertainty Management in Information Systems'.
Author : Mohammad Shorif Uddin
Publisher : Springer Nature
Page : 642 pages
File Size : 43,77 MB
Release : 2020-05-22
Category : Technology & Engineering
ISBN : 9811536074
This book gathers outstanding research papers presented at the International Joint Conference on Computational Intelligence (IJCCI 2019), held at the University of Liberal Arts Bangladesh (ULAB), Dhaka, on 25–26 October 2019 and jointly organized by the University of Liberal Arts Bangladesh (ULAB), Bangladesh; Jahangirnagar University (JU), Bangladesh; and South Asian University (SAU), India. These proceedings present novel contributions in the areas of computational intelligence, and offer valuable reference material for advanced research. The topics covered include collective intelligence, soft computing, optimization, cloud computing, machine learning, intelligent software, robotics, data science, data security, big data analytics, and signal and natural language processing.
Author : Nick Bassiliades
Publisher : Springer
Page : 397 pages
File Size : 42,44 MB
Release : 2011-07-12
Category : Computers
ISBN : 3642225462
This book constitutes the refereed proceedings of the 5th International Symposium on Rules, RuleML 2011 - Europe, held in Barcelona, Spain, in July 2011 - collocated with the 22nd International Joint Conference on Artificial Intelligence, IJCAI 2011. It is the first of two RuleML events that take place in 2011. The second RuleML Symposium - RuleML 2011 - America - will be held in Fort Lauderdale, FL, USA, in November 2011. The 18 revised full papers, 8 revised short papers and 3 invited track papers presented together with the abstracts of 2 keynote talks were carefully reviewed and selected from 58 submissions. The papers are organized in the following topical sections: rule-based distributed/multi-agent systems; rules, agents and norms; rule-based event processing and reaction rules; fuzzy rules and uncertainty; rules and the semantic Web; rule learning and extraction; rules and reasoning; and rule-based applications.
Author : Ali Zilouchian
Publisher : CRC Press
Page : 504 pages
File Size : 40,68 MB
Release : 2001-03-27
Category : Technology & Engineering
ISBN : 1420058142
In recent years, intelligent control has emerged as one of the most active and fruitful areas of research and development. Until now, however, there has been no comprehensive text that explores the subject with focus on the design and analysis of biological and industrial applications. Intelligent Control Systems Using Soft Computing Methodologies does all that and more. Beginning with an overview of intelligent control methodologies, the contributors present the fundamentals of neural networks, supervised and unsupervised learning, and recurrent networks. They address various implementation issues, then explore design and verification of neural networks for a variety of applications, including medicine, biology, digital signal processing, object recognition, computer networking, desalination technology, and oil refinery and chemical processes. The focus then shifts to fuzzy logic, with a review of the fundamental and theoretical aspects, discussion of implementation issues, and examples of applications, including control of autonomous underwater vehicles, navigation of space vehicles, image processing, robotics, and energy management systems. The book concludes with the integration of genetic algorithms into the paradigm of soft computing methodologies, including several more industrial examples, implementation issues, and open problems and open problems related to intelligent control technology. Suitable as a textbook or a reference, Intelligent Control Systems explores recent advances in the field from both the theoretical and the practical viewpoints. It also integrates intelligent control design methodologies to give designers a set of flexible, robust controllers and provide students with a tool for solving the examples and exercises within the book.
Author : Dimiter Driankov
Publisher : Springer Science & Business Media
Page : 327 pages
File Size : 25,65 MB
Release : 2013-03-09
Category : Technology & Engineering
ISBN : 3662111314
Fuzzy controllers are a class of knowledge based controllers using artificial intelligence techniques with origins in fuzzy logic to compute an appropriate control action. These fuzzy knowledge based controllers can be found either as stand-alone control elements or as integral parts of distributed control systems including conventional controllers in a wide range of industrial process control systems and consumer products. Applications of fuzzy controllers have become a well established practice for Japanese manufacturers of control equipment and systems, and are becoming more and more common for their European and American counterparts. The main aim of this book is to show that fuzzy control is not totally ad hoc, that there exist formal techniques for the analysis of a fuzzy controller, and that fuzzy control can be implemented even when no expert knowledge is available. Thus the book is mainly oriented toward control engineers and theorists rather than fuzzy and non-fuzzy AI people. However, parts can be read without any knowledge of control theory and may be of interest to AI people. The book has six chapters. Chapter 1 introduces two major classes of knowledge based systems for closedloop control. Chapter 2 introduces relevant parts of fuzzy set theory and fuzzy logic. Chapter 3 introduces the principal design parameters of a fuzzy knowledge based controller (FKBC) and discusses their relevance with respect to its performance. Chapter 4 considers an FKBC as a particular type of nonlinear controller. Chapter 5 considers tuning and adaptation of FKBCs, which are nonlinear and so can be designed to cope with a certain amount of nonlinearity. Chapter 6 considers several approaches for stability analysis of FKBCs in the context of classical nonlinear dynamic systems theory.
