Multiple Approaches To Intelligent Systems

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Multiple Approaches to Intelligent Systems

Author : Ibrahim F. Imam,Yves Kodratoff,Ayman El-Dessouki,Moonis Ali
Publisher : Springer
Page : 904 pages
File Size : 49,5 Mb
Release : 1999-05-21
Category : Computers
ISBN : 3540660763

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Multiple Approaches to Intelligent Systems by Ibrahim F. Imam,Yves Kodratoff,Ayman El-Dessouki,Moonis Ali Pdf

We never create anything, We discover and reproduce. The Twelfth International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems has a distinguished theme. It is concerned with bridging the gap between the academic and the industrial worlds of Artificial Intelligence (AI) and Expert Systems. The academic world is mainly concerned with discovering new algorithms, approaches, and methodologies; however, the industrial world is mainly driven by profits, and concerned with producing new products or solving customers’ problems. Ten years ago, the artificial intelligence research gap between academia and industry was very broad. Recently, this gap has been narrowed by the emergence of new fields and new joint research strategies in academia. Among the new fields which contributed to the academic-industrial convergence are knowledge representation, machine learning, searching, reasoning, distributed AI, neural networks, data mining, intelligent agents, robotics, pattern recognition, vision, applications of expert systems, and others. It is worth noting that the end results of research in these fields are usually products rather than empirical analyses and theoretical proofs. Applications of such technologies have found great success in many domains including fraud detection, internet service, banking, credit risk and assessment, telecommunication, etc. Progress in these areas has encouraged the leading corporations to institute research funding programs for academic institutes. Others have their own research laboratories, some of which produce state of the art research.

Multiple Approaches to Intelligent Systems

Author : Ibrahim F. Imam,Yves Kodratoff,Ayman El-Dessouki,Moonis Ali
Publisher : Springer
Page : 904 pages
File Size : 54,9 Mb
Release : 2004-05-19
Category : Computers
ISBN : 9783540487654

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Multiple Approaches to Intelligent Systems by Ibrahim F. Imam,Yves Kodratoff,Ayman El-Dessouki,Moonis Ali Pdf

We never create anything, We discover and reproduce. The Twelfth International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems has a distinguished theme. It is concerned with bridging the gap between the academic and the industrial worlds of Artificial Intelligence (AI) and Expert Systems. The academic world is mainly concerned with discovering new algorithms, approaches, and methodologies; however, the industrial world is mainly driven by profits, and concerned with producing new products or solving customers’ problems. Ten years ago, the artificial intelligence research gap between academia and industry was very broad. Recently, this gap has been narrowed by the emergence of new fields and new joint research strategies in academia. Among the new fields which contributed to the academic-industrial convergence are knowledge representation, machine learning, searching, reasoning, distributed AI, neural networks, data mining, intelligent agents, robotics, pattern recognition, vision, applications of expert systems, and others. It is worth noting that the end results of research in these fields are usually products rather than empirical analyses and theoretical proofs. Applications of such technologies have found great success in many domains including fraud detection, internet service, banking, credit risk and assessment, telecommunication, etc. Progress in these areas has encouraged the leading corporations to institute research funding programs for academic institutes. Others have their own research laboratories, some of which produce state of the art research.

Intelligent Systems

Author : Crina Grosan,Ajith Abraham
Publisher : Springer Science & Business Media
Page : 456 pages
File Size : 46,6 Mb
Release : 2011-07-29
Category : Technology & Engineering
ISBN : 9783642210044

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Intelligent Systems by Crina Grosan,Ajith Abraham Pdf

Computational intelligence is a well-established paradigm, where new theories with a sound biological understanding have been evolving. The current experimental systems have many of the characteristics of biological computers (brains in other words) and are beginning to be built to perform a variety of tasks that are difficult or impossible to do with conventional computers. As evident, the ultimate achievement in this field would be to mimic or exceed human cognitive capabilities including reasoning, recognition, creativity, emotions, understanding, learning and so on. This book comprising of 17 chapters offers a step-by-step introduction (in a chronological order) to the various modern computational intelligence tools used in practical problem solving. Staring with different search techniques including informed and uninformed search, heuristic search, minmax, alpha-beta pruning methods, evolutionary algorithms and swarm intelligent techniques; the authors illustrate the design of knowledge-based systems and advanced expert systems, which incorporate uncertainty and fuzziness. Machine learning algorithms including decision trees and artificial neural networks are presented and finally the fundamentals of hybrid intelligent systems are also depicted. Academics, scientists as well as engineers engaged in research, development and application of computational intelligence techniques, machine learning and data mining would find the comprehensive coverage of this book invaluable.

Engineering Artificially Intelligent Systems

Author : William F. Lawless,James Llinas,Donald A. Sofge,Ranjeev Mittu
Publisher : Springer Nature
Page : 291 pages
File Size : 44,8 Mb
Release : 2021-11-16
Category : Computers
ISBN : 9783030893859

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Engineering Artificially Intelligent Systems by William F. Lawless,James Llinas,Donald A. Sofge,Ranjeev Mittu Pdf

Many current AI and machine learning algorithms and data and information fusion processes attempt in software to estimate situations in our complex world of nested feedback loops. Such algorithms and processes must gracefully and efficiently adapt to technical challenges such as data quality induced by these loops, and interdependencies that vary in complexity, space, and time. To realize effective and efficient designs of computational systems, a Systems Engineering perspective may provide a framework for identifying the interrelationships and patterns of change between components rather than static snapshots. We must study cascading interdependencies through this perspective to understand their behavior and to successfully adopt complex system-of-systems in society. This book derives in part from the presentations given at the AAAI 2021 Spring Symposium session on Leveraging Systems Engineering to Realize Synergistic AI / Machine Learning Capabilities. Its 16 chapters offer an emphasis on pragmatic aspects and address topics in systems engineering; AI, machine learning, and reasoning; data and information fusion; intelligent systems; autonomous systems; interdependence and teamwork; human-computer interaction; trust; and resilience.

Modern Advances in Intelligent Systems and Tools

Author : Wei Ding,He Jiang,Moonis Ali,Mingchu Li
Publisher : Springer
Page : 178 pages
File Size : 47,5 Mb
Release : 2012-08-16
Category : Technology & Engineering
ISBN : 9783642307324

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Modern Advances in Intelligent Systems and Tools by Wei Ding,He Jiang,Moonis Ali,Mingchu Li Pdf

Intelligent systems provide a platform to connect the research in artificial intelligence to real-world problem solving applications. Various intelligent systems have been developed to face real-world applications. This book discusses the modern advances in intelligent systems and the tools in applied artificial intelligence. It consists of twenty-three chapters authored by participants of the 25th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE 2012) which was held in Dalian, China. This book is divided into six parts, including Applied Intelligence, Cognitive Computing and Affective Computing, Data Mining and Intelligent Systems, Decision Support Systems, Machine Learning, and Natural Language Processing. Each part includes three to five chapters. In these chapters, many approaches, applications, restrictions, and discussions are presented. The material of each chapter is self-contained and was reviewed by at least two anonymous referees to assure the high quality. Readers can select any individual chapter based on their research interests without the need of reading other chapters. We hope that this book provides useful reference values to researchers and students in the field of applied intelligence. We also hope that readers will find opportunities and recognize challenges through the papers presented in this book.

Intelligent Systems Design

Author : Larry Bielawski,Robert Lewand
Publisher : Unknown
Page : 328 pages
File Size : 55,8 Mb
Release : 1991-01-16
Category : Computers
ISBN : UOM:39015021990406

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Intelligent Systems Design by Larry Bielawski,Robert Lewand Pdf

In this book, we focus on intelligent systems that are based on the integration of expert systems, hypermedia, and data-base technologies, for together they offer a rich environment for creating computer applications that can increase productivity enormously and act as intelligent assistants. Though hypermedia and expert systems technologies date back thirty or more years as independent technologies, it has only been in the last three years that their paths have fully converged, offering system developers a flexible environment that takes advantage of existing information and data. The combination of hypermedia and expert systems is quite attractive as it leads to overall increases in productivity.

Planning in Intelligent Systems

Author : Wout van Wezel,R. J. Jorna,Alexander M. Meystel
Publisher : John Wiley & Sons
Page : 592 pages
File Size : 51,9 Mb
Release : 2006-03-03
Category : Computers
ISBN : 9780471781257

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Planning in Intelligent Systems by Wout van Wezel,R. J. Jorna,Alexander M. Meystel Pdf

The first comparative examination of planning paradigms This text begins with the principle that the ability to anticipateand plan is an essential feature of intelligent systems, whetherhuman or machine. It further assumes that better planning resultsin greater achievements. With these principles as a foundation,Planning in Intelligent Systems provides readers with the toolsneeded to better understand the process of planning and to becomebetter planners themselves. The text is divided into two parts: * Part One, "Theoretical," discusses the predominant schools ofthought in planning: psychology and cognitive science,organizational science, computer science, mathematics, artificialintelligence, and systems theory. In particular, the book examinescommonalities and differences among the goals, methods, andtechniques of these various approaches to planning. The result is abetter understanding of the process of planning through thecross-fertilization of ideas. Each chapter contains a shortintroduction that sets forth the interrelationships of that chapterto the main ideas featured in the other chapters. * Part Two, "Practical," features six chapters that center on acase study of The Netherlands Railways. Readers learn to applytheory to a real-world situation and discoverhow expanding theirrepertoire of planning methods can help solve seemingly intractableproblems. All chapters have been contributed by leading experts in thevarious schools of planning and carefully edited to ensure aconsistent high standard throughout. This book is designed to not only expand the range of planningtools used, but also to enable readers to use them moreeffectively. It challenges readers to look at new approaches andlearn from new schools of thought. Planning in Intelligent Systemsdelivers effective planning approaches for researchers, professors,students, and practitioners in artificial intelligence, computerscience, cognitive psychology, and mathematics, as well as industryplanners and managers.

Hybrid Artificial Intelligence Systems

Author : Emilio Corchado,Ajith Abraham
Publisher : Springer Science & Business Media
Page : 785 pages
File Size : 55,9 Mb
Release : 2008-09-10
Category : Computers
ISBN : 9783540876557

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Hybrid Artificial Intelligence Systems by Emilio Corchado,Ajith Abraham Pdf

This volume constitutes the proceedings of the Third International Workshop on Hybrid Artificial Intelligence Systems, HAIS 2008, held in Burgos, Spain, during September 24-26, 2008. The 93 papers presented, together with 4 invited talks, were carefully reviewed and selected from 280 submissions. The topics covered are agents and multi-agent systems; evolutionary computation; connectionist models; optimization sysetms; fuzzy logic systems; classification and classifiers; cluster analysis; video and image analysis; learning systems, algorithms and applications; hybrid systems based on negotiation and social network modelling; real world applications of HAIS under uncertainty; hybrid intelligent systems for multi-robot and multi-agent systems; applications of hybrid artificial intelligence in bioinformatics; and novel approaches to genetic fuzzy systems.

Agent-Based Hybrid Intelligent Systems

Author : Zili Zhang (Ph.D.),Chengqi Zhang
Publisher : Springer Science & Business Media
Page : 200 pages
File Size : 48,9 Mb
Release : 2004-01-28
Category : Computers
ISBN : 9783540209089

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Agent-Based Hybrid Intelligent Systems by Zili Zhang (Ph.D.),Chengqi Zhang Pdf

Solving complex problems in real-world contexts, such as financial investment planning or mining large data collections, involves many different sub-tasks, each of which requires different techniques. To deal with such problems, a great diversity of intelligent techniques are available, including traditional techniques like expert systems approaches and soft computing techniques like fuzzy logic, neural networks, or genetic algorithms. These techniques are complementary approaches to intelligent information processing rather than competing ones, and thus better results in problem solving are achieved when these techniques are combined in hybrid intelligent systems. Multi-Agent Systems are ideally suited to model the manifold interactions among the many different components of hybrid intelligent systems. This book introduces agent-based hybrid intelligent systems and presents a framework and methodology allowing for the development of such systems for real-world applications. The authors focus on applications in financial investment planning and data mining.

Modern Approaches in Applied Intelligence

Author : Kishan G. Mehrotra,Chilukuri Krishna Mohan,Jae C. Oh,Pramod K. Varshney,Moonis Ali
Publisher : Springer
Page : 581 pages
File Size : 44,9 Mb
Release : 2011-06-28
Category : Computers
ISBN : 9783642218279

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Modern Approaches in Applied Intelligence by Kishan G. Mehrotra,Chilukuri Krishna Mohan,Jae C. Oh,Pramod K. Varshney,Moonis Ali Pdf

The two volume set LNAI 6703 and LNAI 6704 constitutes the thoroughly refereed conference proceedings of the 24th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2011, held in Syracuse, NY, USA, in June/July 2011. The total of 92 papers selected for the proceedings were carefully reviewed and selected from 206 submissions. The papers cover a wide number of topics including feature extraction, discretization, clustering, classification, diagnosis, data refinement, neural networks, genetic algorithms, learning classifier systems, Bayesian and probabilistic methods, image processing, robotics, navigation, optimization, scheduling, routing, game theory and agents, cognition, emotion, and beliefs.

Hybrid Artificial Intelligent Systems

Author : Emilio Corchado,Marek Kurzynski,Michal Wozniak
Publisher : Springer
Page : 490 pages
File Size : 47,5 Mb
Release : 2011-05-25
Category : Computers
ISBN : 9783642212222

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Hybrid Artificial Intelligent Systems by Emilio Corchado,Marek Kurzynski,Michal Wozniak Pdf

The two LNAI volumes 6678 and 6679 constitute the proceedings of the 6th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2011, held in Wroclaw, Poland, in May 2011. The 114 papers published in these proceedings were carefully reviewed and selected from 241 submissions. They are organized in topical sessions on hybrid intelligence systems on logistics and intelligent optimization; metaheuristics for combinatorial optimization and modelling complex systems; hybrid systems for context-based information fusion; methods of classifier fusion; intelligent systems for data mining and applications; systems, man, and cybernetics; hybrid artificial intelligence systems in management of production systems; hybrid artificial intelligent systems for medical applications; and hybrid intelligent approaches in cooperative multi-robot systems.

Distributed Artificial Intelligence

Author : Satya Prakash Yadav,Dharmendra Prasad Mahato,Nguyen Thi Dieu Linh
Publisher : CRC Press
Page : 337 pages
File Size : 46,9 Mb
Release : 2020-12-17
Category : Computers
ISBN : 9781000262056

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Distributed Artificial Intelligence by Satya Prakash Yadav,Dharmendra Prasad Mahato,Nguyen Thi Dieu Linh Pdf

Distributed Artificial Intelligence (DAI) came to existence as an approach for solving complex learning, planning, and decision-making problems. When we talk about decision making, there may be some meta-heuristic methods where the problem solving may resemble like operation research. But exactly, it is not related completely to management research. The text examines representing and using organizational knowledge in DAI systems, dynamics of computational ecosystems, and communication-free interactions among rational agents. This publication takes a look at conflict-resolution strategies for nonhierarchical distributed agents, constraint-directed negotiation of resource allocations, and plans for multiple agents. Topics included plan verification, generation, and execution, negotiation operators, representation, network management problem, and conflict-resolution paradigms. The manuscript elaborates on negotiating task decomposition and allocation using partial global planning and mechanisms for assessing nonlocal impact of local decisions in distributed planning. The book will attract researchers and practitioners who are working in management and computer science, and industry persons in need of a beginner to advanced understanding of the basic and advanced concepts.

Distributed Intelligent Systems

Author : Abdellah Bedrouni,Ranjeev Mittu,Abdeslem Boukhtouta,Jean Berger
Publisher : Springer Science & Business Media
Page : 185 pages
File Size : 54,9 Mb
Release : 2009-08-12
Category : Computers
ISBN : 9780387777023

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Distributed Intelligent Systems by Abdellah Bedrouni,Ranjeev Mittu,Abdeslem Boukhtouta,Jean Berger Pdf

Distributed Intelligent Systems: A Coordination Perspective comprehensively answers commonly asked questions about coordination in agent-oriented distributed systems. Characterizing the state-of-the-art research in the field of coordination with regard to the development of distributed agent-oriented systems is a particularly complex endeavour; while existing books deal with specific aspects of coordination, the major contribution of this book lies in the attempt to provide an in-depth review covering a wide range of issues regarding multi-agent coordination in Distributed Artificial Intelligence. Key features: Unveils the lack of coherence and order that characterizes the area of research pertaining to coordination of distributed intelligent systems Examines coordination models, frameworks, strategies and techniques to enable the development of distributed intelligent agent-oriented systems Provides specific recommendations to realize more widespread deployment of agent-based systems

Intelligent Systems: Theory, Research and Innovation in Applications

Author : Ricardo Jardim-Goncalves,Vassil Sgurev,Vladimir Jotsov,Janusz Kacprzyk
Publisher : Springer Nature
Page : 367 pages
File Size : 40,7 Mb
Release : 2020-03-03
Category : Technology & Engineering
ISBN : 9783030387044

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Intelligent Systems: Theory, Research and Innovation in Applications by Ricardo Jardim-Goncalves,Vassil Sgurev,Vladimir Jotsov,Janusz Kacprzyk Pdf

From artificial neural net / game theory / semantic applications, to modeling tools, smart manufacturing systems, and data science research – this book offers a broad overview of modern intelligent methods and applications of machine learning, evolutionary computation, Industry 4.0 technologies, and autonomous agents leading to the Internet of Things and potentially a new technological revolution. Though chiefly intended for IT professionals, it will also help a broad range of users of future emerging technologies adapt to the new smart / intelligent wave. In separate chapters, the book highlights fourteen successful examples of recent advances in the rapidly evolving area of intelligent systems. Covering major European projects paving the way to a serious smart / intelligent collaboration, the chapters explore e.g. cyber-security issues, 3D digitization, aerial robots, and SMEs that have introduced cyber-physical production systems. Taken together, they offer unique insights into contemporary artificial intelligence and its potential for innovation.

Lectures on Intelligent Systems

Author : Leonardo Vanneschi,Sara Silva
Publisher : Springer
Page : 0 pages
File Size : 48,8 Mb
Release : 2023-01-14
Category : Computers
ISBN : 3031179218

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Lectures on Intelligent Systems by Leonardo Vanneschi,Sara Silva Pdf

This textbook provides the reader with an essential understanding of computational methods for intelligent systems. These are defined as systems that can solve problems autonomously, in particular problems where algorithmic solutions are inconceivable for humans or not practically executable by computers. Despite the rapidly growing applications in this field, the book avoids application details, instead focusing on computational methods that equip the reader with the methodological tools and competencies necessary to tackle current and future complex applications. The book consists of two parts: computational intelligence methods for optimization, and machine learning. Part I begins with the concept of optimization, and introduces local search algorithms, genetic algorithms, and particle swarm optimization. Part II begins with an introduction to machine learning and covers several methods, many of which can be used as supervised learning algorithms, such as decision tree learning, artificial neural networks, genetic programming, Bayesian learning, support vector machines, and ensemble methods, plus a discussion of unsupervised learning. This textbook is written in a self-contained style, suitable for undergraduate or graduate students in computer science and engineering, and for self-study by researchers and practitioners.