Multiagent Systems

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Author :
Publisher : MIT Press
ISBN 13 : 0262018896
Total Pages : 917 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis Multiagent Systems by : Gerhard Weiss

Download or read book Multiagent Systems written by Gerhard Weiss and published by MIT Press. This book was released on 2013-03-08 with total page 917 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first comprehensive introduction to multiagent systems and contemporary distributed artificial intelligence that is suitable as a textbook.

An Introduction to MultiAgent Systems

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 0470519460
Total Pages : 484 pages
Book Rating : 4.4/5 (75 download)

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Book Synopsis An Introduction to MultiAgent Systems by : Michael Wooldridge

Download or read book An Introduction to MultiAgent Systems written by Michael Wooldridge and published by John Wiley & Sons. This book was released on 2009-06-22 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: The study of multi-agent systems (MAS) focuses on systems in which many intelligent agents interact with each other. These agents are considered to be autonomous entities such as software programs or robots. Their interactions can either be cooperative (for example as in an ant colony) or selfish (as in a free market economy). This book assumes only basic knowledge of algorithms and discrete maths, both of which are taught as standard in the first or second year of computer science degree programmes. A basic knowledge of artificial intelligence would useful to help understand some of the issues, but is not essential. The book’s main aims are: To introduce the student to the concept of agents and multi-agent systems, and the main applications for which they are appropriate To introduce the main issues surrounding the design of intelligent agents To introduce the main issues surrounding the design of a multi-agent society To introduce a number of typical applications for agent technology After reading the book the student should understand: The notion of an agent, how agents are distinct from other software paradigms (e.g. objects) and the characteristics of applications that lend themselves to agent-oriented software The key issues associated with constructing agents capable of intelligent autonomous action and the main approaches taken to developing such agents The key issues in designing societies of agents that can effectively cooperate in order to solve problems, including an understanding of the key types of multi-agent interactions possible in such systems The main application areas of agent-based systems

An Introduction to MultiAgent Systems

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Author :
Publisher : John Wiley & Sons
ISBN 13 :
Total Pages : 386 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis An Introduction to MultiAgent Systems by : Michael Wooldridge

Download or read book An Introduction to MultiAgent Systems written by Michael Wooldridge and published by John Wiley & Sons. This book was released on 2002-05-13 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book will introduce students to intelligent agents, explain what these agents are, how they are constructed and how they can be made to co-operate effectively with one another in large-scale systems.

Multiagent Systems

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Author :
Publisher : CRC Press
ISBN 13 : 1000078108
Total Pages : 244 pages
Book Rating : 4.0/5 ( download)

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Book Synopsis Multiagent Systems by : Magdi S. Mahmoud

Download or read book Multiagent Systems written by Magdi S. Mahmoud and published by CRC Press. This book was released on 2020-03-20 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multiagent systems (MAS) are one of the most exciting and the fastest growing domains in the intelligent resource management and agent-oriented technology, which deals with modeling of autonomous decisions making entities. Recent developments have produced very encouraging results in the novel approach of handling multiplayer interactive systems. In particular, the multiagent system approach is adapted to model, control, manage or test the operations and management of several system applications including multi-vehicles, microgrids, multi-robots, where agents represent individual entities in the network. Each participant is modeled as an autonomous participant with independent strategies and responses to outcomes. They are able to operate autonomously and interact pro-actively with their environment. In recent works, the problem of information consensus is addressed, where a team of vehicles communicate with each other to agree on key pieces of information that enable them to work together in a coordinated fashion. The problem is challenging because communication channels have limited range and there are possibilities of fading and dropout. The book comprises chapters on synchronization and consensus in multiagent systems. It shows that the joint presentation of synchronization and consensus enables readers to learn about similarities and differences of both concepts. It reviews the cooperative control of multi-agent dynamical systems interconnected by a communication network topology. Using the terminology of cooperative control, each system is endowed with its own state variable and dynamics. A fundamental problem in multi-agent dynamical systems on networks is the design of distributed protocols that guarantee consensus or synchronization in the sense that the states of all the systems reach the same value. It is evident from the results that research in multiagent systems offer opportunities for further developments in theoretical, simulation and implementations. This book attempts to fill this gap and aims at presenting a comprehensive volume that documents theoretical aspects and practical applications.

A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence

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Author :
Publisher : Springer Nature
ISBN 13 : 3031015436
Total Pages : 71 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence by : Nikos Kolobov

Download or read book A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence written by Nikos Kolobov and published by Springer Nature. This book was released on 2022-06-01 with total page 71 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multiagent systems is an expanding field that blends classical fields like game theory and decentralized control with modern fields like computer science and machine learning. This monograph provides a concise introduction to the subject, covering the theoretical foundations as well as more recent developments in a coherent and readable manner. The text is centered on the concept of an agent as decision maker. Chapter 1 is a short introduction to the field of multiagent systems. Chapter 2 covers the basic theory of singleagent decision making under uncertainty. Chapter 3 is a brief introduction to game theory, explaining classical concepts like Nash equilibrium. Chapter 4 deals with the fundamental problem of coordinating a team of collaborative agents. Chapter 5 studies the problem of multiagent reasoning and decision making under partial observability. Chapter 6 focuses on the design of protocols that are stable against manipulations by self-interested agents. Chapter 7 provides a short introduction to the rapidly expanding field of multiagent reinforcement learning. The material can be used for teaching a half-semester course on multiagent systems covering, roughly, one chapter per lecture.

Layered Learning in Multiagent Systems

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Publisher : MIT Press
ISBN 13 : 9780262264600
Total Pages : 300 pages
Book Rating : 4.2/5 (646 download)

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Book Synopsis Layered Learning in Multiagent Systems by : Peter Stone

Download or read book Layered Learning in Multiagent Systems written by Peter Stone and published by MIT Press. This book was released on 2000-03-03 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book looks at multiagent systems that consist of teams of autonomous agents acting in real-time, noisy, collaborative, and adversarial environments. This book looks at multiagent systems that consist of teams of autonomous agents acting in real-time, noisy, collaborative, and adversarial environments. The book makes four main contributions to the fields of machine learning and multiagent systems. First, it describes an architecture within which a flexible team structure allows member agents to decompose a task into flexible roles and to switch roles while acting. Second, it presents layered learning, a general-purpose machine-learning method for complex domains in which learning a mapping directly from agents' sensors to their actuators is intractable with existing machine-learning methods. Third, the book introduces a new multiagent reinforcement learning algorithm—team-partitioned, opaque-transition reinforcement learning (TPOT-RL)—designed for domains in which agents cannot necessarily observe the state-changes caused by other agents' actions. The final contribution is a fully functioning multiagent system that incorporates learning in a real-time, noisy domain with teammates and adversaries—a computer-simulated robotic soccer team. Peter Stone's work is the basis for the CMUnited Robotic Soccer Team, which has dominated recent RoboCup competitions. RoboCup not only helps roboticists to prove their theories in a realistic situation, but has drawn considerable public and professional attention to the field of intelligent robotics. The CMUnited team won the 1999 Stockholm simulator competition, outscoring its opponents by the rather impressive cumulative score of 110-0.

Multi-Agent Oriented Programming

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Author :
Publisher : MIT Press
ISBN 13 : 0262360667
Total Pages : 261 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Multi-Agent Oriented Programming by : Olivier Boissier

Download or read book Multi-Agent Oriented Programming written by Olivier Boissier and published by MIT Press. This book was released on 2020-09-15 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: The main concepts and techniques of multi-agent oriented programming, which supports the multi-agent systems paradigm at the programming level. A multi-agent system is an organized ensemble of autonomous, intelligent, goal-oriented entities called agents, communicating with each other and interacting within an environment. This book introduces the main concepts and techniques of multi-agent oriented programming, (MAOP) which supports the multi-agent systems paradigm at the programming level. MAOP provides a structured approach based on three integrated dimensions, which the book examines in detail: the agent dimension, used to design the individual (interacting) entities; the environment dimension, which allows the development of shared resources and connections to the real world; and the organization dimension, which structures the interactions among the autonomous agents and the shared environment.

Interactions in Multiagent Systems: Fairness, Social Optimality and Individual Rationality

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Author :
Publisher : Springer
ISBN 13 : 3662494701
Total Pages : 184 pages
Book Rating : 4.6/5 (624 download)

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Book Synopsis Interactions in Multiagent Systems: Fairness, Social Optimality and Individual Rationality by : Jianye Hao

Download or read book Interactions in Multiagent Systems: Fairness, Social Optimality and Individual Rationality written by Jianye Hao and published by Springer. This book was released on 2016-04-13 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book mainly aims at solving the problems in both cooperative and competitive multi-agent systems (MASs), exploring aspects such as how agents can effectively learn to achieve the shared optimal solution based on their local information and how they can learn to increase their individual utility by exploiting the weakness of their opponents. The book describes fundamental and advanced techniques of how multi-agent systems can be engineered towards the goal of ensuring fairness, social optimality, and individual rationality; a wide range of further relevant topics are also covered both theoretically and experimentally. The book will be beneficial to researchers in the fields of multi-agent systems, game theory and artificial intelligence in general, as well as practitioners developing practical multi-agent systems.

Multi-agent Systems

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Author :
Publisher : Addison-Wesley Professional
ISBN 13 :
Total Pages : 536 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Multi-agent Systems by : Jacques Ferber

Download or read book Multi-agent Systems written by Jacques Ferber and published by Addison-Wesley Professional. This book was released on 1999 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, Jacques Ferber has brought together all the recent developments in the field of multi-agent systems - an area that has seen increasing interest and major developments over the last few years. The author draws on work carried out in various disciplines, including information technology, sociology and cognitive psychology to provide a coherent and instructive picture of the current state-of-the-art. The book introduces and defines the fundamental concepts that need to be understood, clearly describes the work that has been done, and invites readers to reflect upon the possibilities of the future.

Adaptive Agents and Multi-Agent Systems

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Publisher : Springer Science & Business Media
ISBN 13 : 3540400680
Total Pages : 335 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Adaptive Agents and Multi-Agent Systems by : Eduardo Alonso

Download or read book Adaptive Agents and Multi-Agent Systems written by Eduardo Alonso and published by Springer Science & Business Media. This book was released on 2003-04-23 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adaptive Agents and Multi-Agent Systems is an emerging and exciting interdisciplinary area of research and development involving artificial intelligence, computer science, software engineering, and developmental biology, as well as cognitive and social science. This book surveys the state of the art in this emerging field by drawing together thoroughly selected reviewed papers from two related workshops; as well as papers by leading researchers specifically solicited for this book. The articles are organized into topical sections on - learning, cooperation, and communication - emergence and evolution in multi-agent systems - theoretical foundations of adaptive agents

Multi-Agent Systems

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Author :
Publisher : CRC Press
ISBN 13 : 142007024X
Total Pages : 582 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Multi-Agent Systems by : Adelinde M. Uhrmacher

Download or read book Multi-Agent Systems written by Adelinde M. Uhrmacher and published by CRC Press. This book was released on 2018-10-08 with total page 582 pages. Available in PDF, EPUB and Kindle. Book excerpt: Methodological Guidelines for Modeling and Developing MAS-Based Simulations The intersection of agents, modeling, simulation, and application domains has been the subject of active research for over two decades. Although agents and simulation have been used effectively in a variety of application domains, much of the supporting research remains scattered in the literature, too often leaving scientists to develop multi-agent system (MAS) models and simulations from scratch. Multi-Agent Systems: Simulation and Applications provides an overdue review of the wide ranging facets of MAS simulation, including methodological and application-oriented guidelines. This comprehensive resource reviews two decades of research in the intersection of MAS, simulation, and different application domains. It provides scientists and developers with disciplined engineering approaches to modeling and developing MAS-based simulations. After providing an overview of the field’s history and its basic principles, as well as cataloging the various simulation engines for MAS, the book devotes three sections to current and emerging approaches and applications. Simulation for MAS — explains simulation support for agent decision making, the use of simulation for the design of self-organizing systems, the role of software architecture in simulating MAS, and the use of simulation for studying learning and stigmergic interaction. MAS for Simulation — discusses an agent-based framework for symbiotic simulation, the use of country databases and expert systems for agent-based modeling of social systems, crowd-behavior modeling, agent-based modeling and simulation of adult stem cells, and agents for traffic simulation. Tools — presents a number of representative platforms and tools for MAS and simulation, including Jason, James II, SeSAm, and RoboCup Rescue. Complete with over 200 figures and formulas, this reference book provides the necessary overview of experiences with MAS simulation and the tools needed to exploit simulation in MAS for future research in a vast array of applications including home security, computational systems biology, and traffic management.

Engineering Multi-Agent Systems

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Author :
Publisher : Springer
ISBN 13 : 3319509837
Total Pages : 239 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Engineering Multi-Agent Systems by : Matteo Baldoni

Download or read book Engineering Multi-Agent Systems written by Matteo Baldoni and published by Springer. This book was released on 2016-12-15 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes revised, selected, and invited papers from the 4th International Workshop on Engineering Multi-Agent Systems, EMAS 2016, held in Singapore, in May 2016, in conjunction with AAMAS. The 10 full papers presented in this volume were carefully reviewed and selected from 14 submissions. The book also contains 2 invited papers; extended versions of AAMAS 2016 demonstration abstracts. EMAS deals with MAS software engineering processes, methodologies and techniques; Programming languages for MAS; Formal methods and declarative technologies for the specification, validation and verification of MAS; and development tools.

Self-organising Multi-agent Systems: Algorithmic Foundations Of Cyber-anarcho-socialism

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Author :
Publisher : World Scientific
ISBN 13 : 1800610440
Total Pages : 400 pages
Book Rating : 4.8/5 (6 download)

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Book Synopsis Self-organising Multi-agent Systems: Algorithmic Foundations Of Cyber-anarcho-socialism by : Jeremy Pitt

Download or read book Self-organising Multi-agent Systems: Algorithmic Foundations Of Cyber-anarcho-socialism written by Jeremy Pitt and published by World Scientific. This book was released on 2021-09-21 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: The paradigm of self-organisation is fundamental to theories of collective action in economic science and democratic governance in political science. Self-organisation in these social systems critically depends on voluntary compliance with conventional rules: that is, rules which are made up, mutually agreed, and modifiable 'on the fly'. How, then, can we use the self-organisation observed in such social systems as an inspiration for decentralised computer systems, which can face similar problems of coordination, cooperation and collaboration between autonomous peers?Self-Organising Multi-Agent Systems presents an innovative and systematic approach to transforming theories of economics and politics (and elements of philosophy, psychology, and jurisprudence) into an executable logical specification of conventional rules. It shows how sets of such rules, called institutions, provide an algorithmic basis for designing and implementing cyber-physical systems, enabling intelligent software processes (called agents) to manage themselves in the face of competition for scarce resources. It also provides a basis for implementing socio-technical systems with interacting human and computational intelligences in a way that is sustainable, fair and legitimate.This interdisciplinary book is essential reading for anyone interested in the 'planned emergence' of global properties, commonly-shared values or successful collective action, especially as a product of social construction, knowledge management and political arrangements. For those studying both computer science and social sciences, this book offers a radically new gateway to a transformative understanding of complex system development and social system modelling.Understanding how a computational representation of qualitative values like justice and democracy can lead to stability and legitimacy of socio-technical systems is among the most pressing software engineering challenges of modern times. This book can be read as an invitation to make the Digital Society better.Related Link(s)

Developing Multi-Agent Systems with JADE

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 0470058404
Total Pages : 300 pages
Book Rating : 4.4/5 (7 download)

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Book Synopsis Developing Multi-Agent Systems with JADE by : Fabio Luigi Bellifemine

Download or read book Developing Multi-Agent Systems with JADE written by Fabio Luigi Bellifemine and published by John Wiley & Sons. This book was released on 2007-03-13 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to employ JADE to build multi-agent systems! JADE (Java Agent DEvelopment framework) is a middleware for the development of applications, both in the mobile and fixed environment, based on the Peer-to-Peer intelligent autonomous agent approach. JADE enables developers to implement and deploy multi-agent systems, including agents running on wireless networks and limited-resource devices. Developing Multi-Agent Systems with JADE is a practical guide to using JADE. The text will give an introduction to agent technologies and the JADE Platform, before proceeding to give a comprehensive guide to programming with JADE. Basic features such as creating agents, agent tasks, agent communication, agent discovery and GUIs are covered, as well as more advanced features including ontologies and content languages, complex behaviours, interaction protocols, agent mobility, and the in-process interface. Issues such as JADE internals, running JADE agents on mobile devices, deploying a fault tolerant JADE platform, and main add-ons are also covered in depth. Developing Multi-Agent Systems with JADE: Comprehensive guide to using JADE to build multi-agent systems and agent orientated programming. Describes and explains ontologies and content language, interaction protocols and complex behaviour. Includes material on persistence, security and a semantics framework. Contains numerous examples, problems, and illustrations to enhance learning. Presents a case study demonstrating the use of JADE in practice. Offers an accompanying website with additional learning resources such as sample code, exercises and PPT-slides. This invaluable resource will provide multi-agent systems practitioners, programmers working in the software industry with an interest on multi-agent systems as well as final year undergraduate and postgraduate students in CS and advanced networking and telecoms courses with a comprehensive guide to using JADE to employ multi agent systems. With contributions from experts in JADE and multi agent technology.

Programming Multi-Agent Systems in AgentSpeak using Jason

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Publisher : John Wiley & Sons
ISBN 13 : 0470029005
Total Pages : 307 pages
Book Rating : 4.4/5 (7 download)

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Book Synopsis Programming Multi-Agent Systems in AgentSpeak using Jason by : Rafael H. Bordini

Download or read book Programming Multi-Agent Systems in AgentSpeak using Jason written by Rafael H. Bordini and published by John Wiley & Sons. This book was released on 2007-11-12 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: Jason is an Open Source interpreter for an extended version of AgentSpeak – a logic-based agent-oriented programming language – written in JavaTM. It enables users to build complex multi-agent systems that are capable of operating in environments previously considered too unpredictable for computers to handle. Jason is easily customisable and is suitable for the implementation of reactive planning systems according to the Belief-Desire-Intention (BDI) architecture. Programming Multi-Agent Systems in AgentSpeak using Jason provides a brief introduction to multi-agent systems and the BDI agent architecture on which AgentSpeak is based. The authors explain Jason’s AgentSpeak variant and provide a comprehensive, practical guide to using Jason to program multi-agent systems. Some of the examples include diagrams generated using an agent-oriented software engineering methodology particularly suited for implementation using BDI-based programming languages. The authors also give guidance on good programming style with AgentSpeak. Programming Multi-Agent Systems in AgentSpeak using Jason Describes and explains in detail the AgentSpeak extension interpreted by Jason and shows how to create multi-agent systems using the Jason platform. Reinforces learning with examples, problems, and illustrations. Includes two case studies which demonstrate the use of Jason in practice. Features an accompanying website that provides further learning resources including sample code, exercises, and slides This essential guide to AgentSpeak and Jason will be invaluable to senior undergraduate and postgraduate students studying multi-agent systems. The book will also be of interest to software engineers, designers, developers, and programmers interested in multi-agent systems.

Ontology-Based Multi-Agent Systems

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Author :
Publisher : Springer
ISBN 13 : 3642019048
Total Pages : 283 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Ontology-Based Multi-Agent Systems by : Maja Hadzic

Download or read book Ontology-Based Multi-Agent Systems written by Maja Hadzic and published by Springer. This book was released on 2009-07-07 with total page 283 pages. Available in PDF, EPUB and Kindle. Book excerpt: During the last two decades, the idea of Semantic Web has received a great deal of attention. An extensive body of knowledge has emerged to describe technologies that seek to help us create and use aspects of the Semantic Web. Ontology and agent-based technologies are understood to be the two important technologies here. A large number of articles and a number of books exist to describe the use individually of the two technologies and the design of systems that use each of these technologies individually, but little focus has been given on how one can - sign systems that carryout integrated use of the two different technologies. In this book we describe ontology and agent-based systems individually, and highlight advantages of integration of the two different and complementary te- nologies. We also present a methodology that will guide us in the design of the - tegrated ontology-based multi-agent systems and illustrate this methodology on two use cases from the health and software engineering domain. This book is organized as follows: • Chapter I, Current issues and the need for ontologies and agents, describes existing problems associated with uncontrollable information overload and explains how ontologies and agent-based systems can help address these - sues. • Chapter II, Introduction to multi-agent systems, defines agents and their main characteristics and features including mobility, communications and collaboration between different agents. It also presents different types of agents on the basis of classifications done by different authors.

Multi-agent and Complex Systems

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Author :
Publisher : Springer
ISBN 13 : 9811025649
Total Pages : 210 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Multi-agent and Complex Systems by : Quan Bai

Download or read book Multi-agent and Complex Systems written by Quan Bai and published by Springer. This book was released on 2016-11-15 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a description of advanced multi-agent and artificial intelligence technologies for the modeling and simulation of complex systems, as well as an overview of the latest scientific efforts in this field. A complex system features a large number of interacting components, whose aggregate activities are nonlinear and self-organized. A multi-agent system is a group or society of agents which interact with others cooperatively and/or competitively in order to reach their individual or common goals. Multi-agent systems are suitable for modeling and simulation of complex systems, which is difficult to accomplish using traditional computational approaches.