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Sascha Hokamp Agent-based Modeling of Tax Evasion


The only single-source guide to understanding, using, adapting, and designing state-of-the-art agent-based modelling of tax evasion A computational method for simulating the behavior of individuals or groups and their effects on an entire system, agent-based modeling has proven itself to be a powerful new tool for detecting tax fraud. While interdisciplinary groups and individuals working in the tax domain have published numerous articles in diverse peer-reviewed journals and have presented their findings at international conferences, until Agent-based Modelling of Tax Evasion there was no authoritative, single-source guide to state-of-the-art agent-based tax evasion modeling techniques and technologies. Featuring contributions from distinguished experts in the field from around the globe, Agent-Based Modelling of Tax Evasion provides in-depth coverage of an array of field tested agent-based tax evasion models. Models are presented in a unified format so as to enable readers to systematically work their way through the various modeling alternatives available to them. Three main components of each agent-based model are explored in accordance with the Overview, Design Concepts, and Details (ODD) protocol, each section of which contains several sub elements that help to illustrate the model clearly and that assist readers in replicating the modeling results described. Presents models in a unified and structured manner to provide a point of reference for readers interested in agent-based modelling of tax evasion Explores the theoretical aspects and diversity of agent-based modeling through the example of tax evasion Provides an overview of the characteristics of more than thirty agent-based tax evasion frameworks Functions as a solid foundation for lectures and seminars on agent-based modelling of tax evasion The only comprehensive treatment of agent-based tax evasion models and their applications, this book is an indispensable working resource for practitioners and tax evasion modelers both in the agent-based computational domain and using other methodologies. It is also an excellent pedagogical resource for teaching tax evasion modeling and/or agent-based modeling generally.

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Flaminio Squazzoni Agent-Based Computational Sociology


Most of the intriguing social phenomena of our time, such as international terrorism, social inequality, and urban ethnic segregation, are consequences of complex forms of agent interaction that are difficult to observe methodically and experimentally. This book looks at a new research stream that makes use of advanced computer simulation modelling techniques to spotlight agent interaction that allows us to explain the emergence of social patterns. It presents a method to pursue analytical sociology investigations that look at relevant social mechanisms in various empirical situations, such as markets, urban cities, and organisations. This book: Provides a comprehensive introduction to epistemological, theoretical and methodological features of agent-based modelling in sociology through various discussions and examples. Presents the pros and cons of using agent-based models in sociology. Explores agent-based models in combining quantitative and qualitative aspects, and micro- and macro levels of analysis. Looks at how to pose an agent-based research question, identifying the model building blocks, and how to validate simulation results. Features examples of agent-based models that look at crucial sociology issues. Supported by an accompanying website featuring data sets and code for the models included in the book. Agent-Based Computational Sociology is written in a common sociological language and features examples of models that look at all the traditional explanatory challenges of sociology. Researchers and graduate students involved in the field of agent-based modelling and computer simulation in areas such as social sciences, cognitive sciences and computer sciences will benefit from this book.

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Tuncer Oren Agent-Directed Simulation and Systems Engineering


The only book to present the synergy between modeling and simulation, systems engineering, and agent technologies expands the notion of agent-based simulation to also deal with agent simulation and agent-supported simulation. Accessible to both practitioners and managers, it systematically addresses designing and building agent systems from a systems engineering perspective.

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M. Kemal Ozgoren Kinematics of General Spatial Mechanical Systems

Moyal Pascal Stochastic Modeling and Analysis of Telecom Networks


This book addresses the stochastic modeling of telecommunication networks, introducing the main mathematical tools for that purpose, such as Markov processes, real and spatial point processes and stochastic recursions, and presenting a wide list of results on stability, performances and comparison of systems. The authors propose a comprehensive mathematical construction of the foundations of stochastic network theory: Markov chains, continuous time Markov chains are extensively studied using an original martingale-based approach. A complete presentation of stochastic recursions from an ergodic theoretical perspective is also provided, as well as spatial point processes. Using these basic tools, stability criteria, performance measures and comparison principles are obtained for a wide class of models, from the canonical M/M/1 and G/G/1 queues to more sophisticated systems, including the current “hot topics” of spatial radio networking, OFDMA and real-time networks. Contents 1. Introduction. Part 1: Discrete-time Modeling 2. Stochastic Recursive Sequences. 3. Markov Chains. 4. Stationary Queues. 5. The M/GI/1 Queue. Part 2: Continuous-time Modeling 6. Poisson Process. 7. Markov Process. 8. Systems with Delay. 9. Loss Systems. Part 3: Spatial Modeling 10. Spatial Point Processes.

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Michael Wooldridge Programming Multi-Agent Systems in AgentSpeak using Jason


Jason is an Open Source interpreter for an extended version of AgentSpeak – a logic-based agent-oriented programming language – written in Java™. 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.

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Michael Sherman Spatial Statistics and Spatio-Temporal Data. Covariance Functions and Directional Properties


In the spatial or spatio-temporal context, specifying the correct covariance function is fundamental to obtain efficient predictions, and to understand the underlying physical process of interest. This book focuses on covariance and variogram functions, their role in prediction, and appropriate choice of these functions in applications. Both recent and more established methods are illustrated to assess many common assumptions on these functions, such as, isotropy, separability, symmetry, and intrinsic correlation. After an extensive introduction to spatial methodology, the book details the effects of common covariance assumptions and addresses methods to assess the appropriateness of such assumptions for various data structures. Key features: An extensive introduction to spatial methodology including a survey of spatial covariance functions and their use in spatial prediction (kriging) is given. Explores methodology for assessing the appropriateness of assumptions on covariance functions in the spatial, spatio-temporal, multivariate spatial, and point pattern settings. Provides illustrations of all methods based on data and simulation experiments to demonstrate all methodology and guide to proper usage of all methods. Presents a brief survey of spatial and spatio-temporal models, highlighting the Gaussian case and the binary data setting, along with the different methodologies for estimation and model fitting for these two data structures. Discusses models that allow for anisotropic and nonseparable behaviour in covariance functions in the spatial, spatio-temporal and multivariate settings. Gives an introduction to point pattern models, including testing for randomness, and fitting regular and clustered point patterns. The importance and assessment of isotropy of point patterns is detailed. Statisticians, researchers, and data analysts working with spatial and space-time data will benefit from this book as well as will graduate students with a background in basic statistics following courses in engineering, quantitative ecology or atmospheric science.

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Jean Dubé Spatial Econometrics using Microdata


This book provides an introduction to spatial analyses concerning disaggregated (or micro) spatial data. Particular emphasis is put on spatial data compilation and the structuring of the connections between the observations. Descriptive analysis methods of spatial data are presented in order to identify and measure the spatial, global and local dependency. The authors then focus on autoregressive spatial models, to control the problem of spatial dependency between the residues of a basic linear statistical model, thereby contravening one of the basic hypotheses of the ordinary least squares approach. This book is a popularized reference for students looking to work with spatialized data, but who do not have the advanced statistical theoretical basics.

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Nigel Gilbert Agent-Based Modelling in Economics


Agent-based modelling in economics Lynne Hamill and Nigel Gilbert, Centre for Research in Social Simulation (CRESS), University of Surrey, UK New methods of economic modelling have been sought as a result of the global economic downturn in 2008.This unique book highlights the benefits of an agent-based modelling (ABM) approach. It demonstrates how ABM can easily handle complexity: heterogeneous people, households and firms interacting dynamically. Unlike traditional methods, ABM does not require people or firms to optimise or economic systems to reach equilibrium. ABM offers a way to link micro foundations directly to the macro situation. Key features: Introduces the concept of agent-based modelling and shows how it differs from existing approaches. Provides a theoretical and methodological rationale for using ABM in economics, along with practical advice on how to design and create the models. Each chapter starts with a short summary of the relevant economic theory and then shows how to apply ABM. Explores both topics covered in basic economics textbooks and current important policy themes; unemployment, exchange rates, banking and environmental issues. Describes the models in pseudocode, enabling the reader to develop programs in their chosen language. Supported by a website featuring the NetLogo models described in the book. Agent-based Modelling in Economics provides students and researchers with the skills to design, implement, and analyze agent-based models. Third year undergraduate, master and doctoral students, faculty and professional economists will find this book an invaluable resource.

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Peter M. B. Cahusac Evidence-Based Statistics

Spatial Agent-Based Simulation Modeling in Public… von S ...

Spatial Agent-Based Simulation Modeling in Public Health von S. M. Niaz Arifin, Gregory R. Madey, Frank H. Collins (ISBN 978-1-118-96435-4) bestellen. Schnelle Lieferung, auch auf Rechnung - lehmanns.de

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Spatial Agent‐Based Simulation Modeling in Public Health ...

S. M. Niaz Arifin, PhD, is Research Assistant Professor in the Department of Computer Science and Engineering at the University of Notre Dame. A member of The Society for Computer Simulation and American Society of Tropical Medicine and Hygiene and the recipient of The American Society of Tropical Medicine and Hygiene Travel Award in 2011, his research interests include agent-based modeling ...

Spatial agent-based simulation modeling in public health ...

Spatial agent-based simulation modeling in public health: design, implementation, and applications for malaria epidemiology. Arifin, S.M. Niaz, Collins, Frank H., Madey, Gregory Richard. Presents an overview of the complex biological systems used within a global public health setting and features a focus on malaria analysis.

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Arifin, S. M. Niaz [WorldCat Identities]

Spatial agent-based simulation modeling in public health : design, implementation, and applications for malaria epidemiology by S.M. Niaz Arifin ( ) 9 editions published in 2016 in English and held by 293 WorldCat member libraries worldwide

S.M. Niaz Arifin (Author of Spatial Agent-Based Simulation ...

S.M. Niaz Arifin is the author of Spatial Agent-Based Simulation Modeling in Public Health (0.0 avg rating, 0 ratings, 0 reviews, published 2016)

Research & Publications | S M Niaz Arifin, PhD

S. M. Niaz Arifin, Gregory J. Davis, and Ying Zhou. A Spatial Agent-Based Model of Malaria: Model Verification and Effects of Spatial Heterogeneity. International Journal of Agent Technologies and Systems (IJATS), 3(3), 17-34, 2011. S. M. Niaz Arifin, Gregory J. Davis, Ying Zhou, and Gregory R. Madey. Modeling Space in an Agent-Based Model of Malaria: Comparison between Non-Spatial and Spatial Models. In Proceedings of the 2011 Workshop on Agent-Directed Simulation (ADS), pages 92-99 ...

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S M Niaz Arifin. Search for S M Niaz Arifin's work. Search Search. Home S M Niaz Arifin. S M Niaz Arifin. Skip slideshow. Most frequent co-Author ...

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Arifin, Madey and Collins (AMC) provide a detailed account of their extensive research program on applying Agent Based Modelling (ABM) to malaria epidemiology and intervention testing in their 2016 book “Spatial Agent-Based Simulation Modeling in Public Health: Design, Implementation, and Applications for Malaria Epidemiology” (SABSMPH).

Spatial Agent-Based Simulation Modeling in Public Health ...

Spatial Agent-Based Simulation Modeling in Public Health: Design, Implementation, and Applications for Malaria Epidemiology Wiley Series in Modeling and Simulation: Amazon.de: Arifin, S. M. Niaz, Madey, Gregory R., Collins, Frank H.: Fremdsprachige Bücher Zum Hauptinhalt wechseln. Prime entdecken DE Hallo! Anmelden Konto und Listen Anmelden Konto und Listen Warenrücksendungen und ...

S. M. Niaz ARIFIN | PostDoc Position | PhD | Yale ...

S. M. Niaz Arifin Gregory R Madey Agent-based modeling (ABM) is quickly becoming a choice tool for researchers, as it is very adept at modeling natural phenomena.

‪S. M. Niaz Arifin‬ - ‪Google Scholar‬

‪Yale School of Public Health‬ - ‪Cited by 1,669‬ - ‪Simulation‬ - ‪Data Modeling‬ - ‪Public Health‬

Spatial Agent-Based Simulation Modeling in Public Health ...

Spatial Agent-Based Simulation Modeling in Public Health: Design, Implementation, and Applications for Malaria Epidemiology (Wiley Series in Modeling and Simulation) (English Edition) eBook: S. M. Niaz Arifin, Gregory R. Madey, Frank H. Collins: Amazon.de: Kindle-Shop

Spatial Agent-Based Simulation Modeling in Public Health ...

Spatial Agent-Based Simulation Modeling in Public Health : Design, Implementation, and Applications for Malaria Epidemiology PDF by Arifin S. M. Niaz Arifin, Madey Gregory R. Madey, Collins Frank H. Collins Part of the Wiley Series in Modeling and Simulation series

SM Niaz Arifin - Applied Scientist II - Amobee | LinkedIn

SM Niaz Arifin | San Francisco Bay Area | Data Scientist and Simulation Modeler | 500+ connections | See SM Niaz's complete profile on Linkedin and connect

Электронная книга: S. Arifin M.Niaz. Spatial Agent-Based ...

Using spatial ABMs, the book includes mosquito (vector) control interventions and GIS as two example applications of ABMs, as well as a brief description of epidemiology modeling. In addition, the authors discuss how to most effectively integrate spatial ABMs with a GIS. The book concludes with a combination of knowledge from entomological, epidemiological, simulation-based, and geo-spatial ...

Spatial Agent-Based Simulation Modeling in Public Health ...

Spatial Agent-Based Simulation Modeling in Public Health eBook by S. M. Niaz Arifin - 9781118964361 | Rakuten Kobo United States Read "Spatial Agent-Based Simulation Modeling in Public Health Design, Implementation, and Applications for Malaria Epidemiology" by S. M. Niaz Arifin available from Rakuten Kobo.

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Spatial Agent-Based Simulation Modeling in Public Health ...

Using spatial ABMs, the book includes mosquito (vector) control interventions and GIS as two example applications of ABMs, as well as a brief description of epidemiology modeling. In addition, the authors discuss how to most effectively integrate spatial ABMs with a GIS. The book concludes with a combination of knowledge from entomological, epidemiological, simulation-based, and geo-spatial ...

Spatial Agent-Based Simulation Modeling in Public Health ...

Spatial Agent-Based Simulation Modeling in Public Health by S. M. Niaz Arifin, 9781118964354, available at Book Depository with free delivery worldwide.

Spatial Agent Based Simulation Modeling In Public Health ...

modeling and simulation english edition ebook s m niaz arifin gregory r madey frank h collins amazonde kindle shop spatial agent based simulation modeling in public health design implementation and applications for malaria epidemiology is an excellent reference for professionals such as modeling and simulation experts gis experts spatial analysts mathematicians statisticians epidemiologists ...

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INTERNATIONAL JOURNAL OF INTELLIGENT CONTROL AND SYSTEMS ...

Ryan C. KENNEDY, Kelly E. LANE, S. M. Niaz ARIFIN, Agust´ın FUENTES, Hope HOLLOCHER, and Gregory R. MADEY Abstract—Agent-based modeling (ABM) is quickly becoming a choice tool for researchers ...

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Compre o livro Spatial Agent-Based Simulation Modeling In Public Health de S. M. Niaz Arifin, Frank H. Collins e Gregory R. Madey em Bertrand.pt. .

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S. M. Niaz Arifin, Gregory R. Madey, Frank H. Collins: Spatial Agent-Based Simulation Modeling in Public Health - Design, Implementation, and Applications for Malaria Epidemiology. Sprache: Englisch. (eBook epub) - bei eBook.de

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Spatial Agent-based Simulation Modeling in Public Health ...

Spatial Agent-based Simulation Modeling in Public Health von S. M. Niaz Arifin, Gregory R. Madey, Frank H. Collins - Englische Bücher zum Genre Medizin günstig & portofrei bestellen im Online Shop von Ex Libris.

Spatial Agent Based Simulation Modeling In Public Health ...

epidemiology wiley series in modeling and simulation by s m niaz arifin 2016 04 11 s m niaz arifingregory r madeyfrank h collins isbn kostenloser versand fur alle bucher mit versand und verkauf duch amazon spatial agent based simulation modeling in public health design implementation and applications for malaria epidemiology also features location specific mosquito abundance maps that play an ...

Spatial Agent-Based Simulation Modeling in Public Health ...

S. M. Niaz Arifin, PhD, is Research Assistant Professor in the Department of Computer Science and Engineering at the University of Notre Dame. A member of The Society for Computer Simulation, and American Society of Tropical Medicine and Hygiene, and the recipient of The American Society of Tropical Medicine and Hygiene Travel Award in 2011, his research interests include agent-based modeling ...

Spatial Agent-Based Simulation Modeling in Public Health ...

Pris: 999 kr. Inbunden, 2016. Skickas inom 7-10 vardagar. Köp Spatial Agent-Based Simulation Modeling in Public Health av S M Niaz Arifin, Gregory R Madey, Frank H Collins på Bokus.com.

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S. M. Niaz Arifin, PhD, is Research Assistant Professor in the Department of Computer Science and Engineering at the University of Notre Dame. A member of The Society for Computer Simulation and American Society of Tropical Medicine and Hygiene an...

Spatial Agent-Based Simulation Modeling in Public Health ...

Spatial Agent-Based Simulation Modeling in Public Health: Design, Implementation, and Applications for Malaria Epidemiology also features: * Location-specific mosquito abundance maps that play an important role in malaria control activities by guiding future resource allocation for malaria control and identifying hotspots for further investigation * Discussions on the best modeling practices ...

Spatial Agent-Based Simulation Modeling in Public Health ...

Read "Spatial Agent-Based Simulation Modeling in Public Health Design, Implementation, and Applications for Malaria Epidemiology" by S. M. Niaz Arifin available from Rakuten Kobo. Presents an overview of the complex biological systems used within a global public health setting and features a focus o

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Spatial Agent-Based Simulation Modeling in Public Health ...

Presents an overview of the complex biological systems used within a global public health setting and features a focus on malaria analysis Bridging the gap between agent-based modeling and simulation (ABMS) and geographic information systems (GIS), Spatial Agent-Based Simulation Modeling in Public Health: Design, Implementation, and Applications for Malaria Epidemiology provides a useful ...

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View the profiles of people named S. M. Niaz Arifin. Join Facebook to connect with S. M. Niaz Arifin and others you may know. Facebook gives people the...

Suchergebnisse - Wiley-VCH eBooks

Spatial Agent-Based Simulation Modeling in Public Health von: S. M. Niaz Arifin, Gregory R. Madey, Frank H. Collins

Spatial Agent-Based Simulation Modeling in Public Health ...

Hinta: 145,4 €. e-kirja, 2016. Ladataan sähköisesti. Osta kirja Spatial Agent-Based Simulation Modeling in Public Health Arifin S. M. Niaz Arifin, Madey Gregory R. Madey, Collins Frank H. Collins (ISBN 9781118964361) osoitteesta Adlibris.fi. Meillä on miljoonia kirjoja, löydä seuraava lukuelämyksesi tänään! Aina edulliset hinnat, ilmainen toimitus yli 19,90 € tilauksiin ja nopea ...

Spatial Agent-Based Simulation Modeling in Public Health ...

Design, Implementation, and Applications for Malaria Epidemiology, Spatial Agent-Based Simulation Modeling in Public Health, S. M. Niaz Arifin, Gregory R. Madey, Frank H. Collins, Wiley. Des milliers de livres avec la livraison chez vous en 1 jour ou en magasin avec -5% de réduction .

Gérard Cliquet Location-Based Marketing


Location-based Marketing outlines the main concepts, methods and strategies for implementing spatial marketing, also known as geomarketing. With an emphasis on the value of mapping in marketing decision-making, this book demonstrates the importance of a more spatialized view of these decisions, in order to best respond to market realities – whether local or international. The main techniques of geomarketing are presented along with an understanding of the spatial behavior of consumers, both outside the point of sale and in stores. The book further introduces the idea of a «geomarketing mix», which spatializes product innovations, merchandising, pricing and various aspects of promotion. Finally, the book defines what real georetailing comprises and develops the concept of mobile marketing based on geolocation techniques.

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Christian Sallaberry Geographical Information Retrieval in Textual Corpora


This book addresses the field of geographic information extraction and retrieval from textual documents. Geographic information retrieval is a rapidly emerging subject, a trend fostered by the growing power of the Internet and the emerging possibilities of data dissemination. After positioning his work in this field in Chapter 1, the author makes proposals in the following two chapters. Chapter 2 focuses on spatial and temporal information indexing and retrieval in corpora of textual documents. Propositions for both spatial and temporal information retrieval (IR) are made. Chapter 3 tackles the use of generalized spatial and temporal indexes, which are produced from there in the framework of multi-criteria IR. Geographic IR (GIR) is discussed at length, since this IR combines the criteria of spatial, temporal and thematic research. The author provides a rich bibliographical study of the current approaches focused on the modeling and retrieval of spatial and temporal information in textual documents, and similarity measures developed thus far in the literature. The book concludes with a broad perspective of the remaining scientific challenges. Several areas of research are discussed, such as integration of a domain-based ontology, modeling of spatial footprints from the interpretation of spatial relation, and parsing of relations between features deemed relevant within a document resulting from a GIR process. Contents Foreword, Christophe Claramunt. 1. Access by Geographic Content to Textual Corpora: What Orientations ? 2. Spatial and Temporal Information Retrieval in Textual Corpora. 3. Multicriteria Information Retrieval in Textual Corpora. 4. General Conclusion. About the Authors Christian Sallaberry is currently Assistant Professor at the Law, Economics and Management Faculty in Pau, France. His current research interests are in the fields of geographical information retrieval (GIR) in textual corpora: spatial, temporal and thematic information recognition, analyzing, indexing and retrieval. He is interested in spatial, temporal and thematic criteria combinations within a GIR process.

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Giovanni Caire Developing Multi-Agent Systems with JADE


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.

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