{"product_id":"9781119155683","title":"Agent-based Modeling of Tax Evasion Theoretical Aspects and Computational Simulations","description":"\u003ch3\u003eWiley Series in Computational and Quantitative Social Science\u003c\/h3\u003e\u003ch1\u003eAgent-based Modeling of Tax Evasion\u003c\/h1\u003e\u003ch2\u003eTheoretical Aspects and Computational Simulations\u003c\/h2\u003e\u003ch3\u003eSascha Hokamp | Laszlo Gulyas | Matthew Koehler | Sanith Wijesinghe\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eMathematics \/ Probability \u0026amp; Statistics \/ General\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\n\u003cp\u003e\u003cb\u003eThe only single-source guide to understanding, using, adapting, and designing state-of-the-art agent-based modelling of tax evasion\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eA 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 \u003ci\u003eAgent-based\u003c\/i\u003e \u003ci\u003eModelling of Tax Evasion\u003c\/i\u003e there was no authoritative, single-source guide to state-of-the-art agent-based tax evasion modeling techniques and technologies.\u003c\/p\u003e \u003cp\u003eFeaturing contributions from distinguished experts in the field from around the globe, \u003ci\u003eAgent-Based Modelling of Tax Evasion\u003c\/i\u003e 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.\u003c\/p\u003e \u003cul\u003e \u003cli\u003ePresents models in a unified and structured manner to provide a point of reference for readers interested in agent-based modelling of tax evasion\u003c\/li\u003e \u003cli\u003eExplores the theoretical aspects and diversity of agent-based modeling through the example of tax evasion\u003c\/li\u003e \u003cli\u003eProvides an overview of the characteristics of more than thirty agent-based tax evasion frameworks\u003c\/li\u003e \u003cli\u003eFunctions as a solid foundation for lectures and seminars on agent-based modelling of tax evasion\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eThe 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. \u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e   \u003cp\u003e \u003cb\u003eSascha Hokamp, PhD\u003c\/b\u003e is a member of the Research Unit for Sustainability and Global Change (FNU) and of the Center for Earth System Research and Sustainability (CEN), Universität Hamburg. His research topics include illicit activities (tax evasion and doping in elite sports) and the shadow economy.  \t \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eLászló Gulyás, PhD\u003c\/b\u003e is Assistant Professor at Eötvös Loránd University, Budapest. He is a former Head of Division at AITIA International, Inc. He has been doing research on agent-based modeling and multi-agent systems since 1996. \t \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eMatthew Koehler, PhD\u003c\/b\u003e is the Applied Complexity Sciences Area Lead for US Treasury\/Internal Revenue Service, US Commerce, and Social Security Administration Program Division at The MITRE Corporation. \t \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eSanith Wijesinghe, PhD\u003c\/b\u003e is Chief Engineer of the Model Based Analytics department at The MITRE Corporation.  \u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e26 March 2018\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9781119155683\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e384\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight (oz): \u003c\/td\u003e\n\u003ctd\u003e20.8\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":44378581663884,"sku":"9781119155683","price":91.76,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9781119155683.jpg?v=1780240808","url":"https:\/\/lateknightbooks.com\/products\/9781119155683","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}