{"product_id":"9780792386889","title":"Advances in Computational Economics","description":"\u003ch1\u003eAdvances in Computational Economics\u003c\/h1\u003e \u003ch2\u003eMcCain, Roger A.\u003c\/h2\u003e \u003cp\u003e\u003cem\u003eAgent-Based Computer Simulation of Dichotomous Economic  Growth\u003c\/em\u003e reports a project in agent-based computer stimulation of  processes of economic growth in a population of boundedly rational  learning agents. \u003cbr\u003e  The study is an exercise in comparative simulation. That is, the same  family of growth models will be simulated under different assumptions  about the nature of the learning process and details of the production  and growth processes. The purpose of this procedure is to establish a  relationship between the assumptions and the simulation results. \u003cbr\u003e  The study brings together a number of theoretical and technical  developments, only some of which may be familiar to any particular  reader. In this first chapter, some issues in economic growth are  reviewed and the objectives of the study are outlined. In the second  chapter, the simulation techniques are introduced and illustrated with  baseline simulations of boundedly rational learning processes that do  not involve the complications of dealing with long-run economic  growth. The third chapter sketches the consensus modern theory of  economic growth which is the starting point for further study. In the  fourth chapter, a family of steady growth models are simulated,  bringing the simulation, growth and learning aspects of the study  together. In subsequent chapters, variants on the growth model are  explored in a similar way. The ninth chapter introduces trade, with a  spacial trading model that is combined with the growth model in the  tenth chapter. \u003cbr\u003e  The book returns again and again to the key question: to what extent  can the simulations `explain' the puzzles of economic growth, and  particularly the key puzzle of dichotomization, by constructing growth  and learning processes that produce the puzzling results? And just  what assumptions of the simulations are most predictable associated  with the puzzling results?\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 1999-11-30\u003c\/p\u003e \u003cp\u003eFormat: Hardcover\u003c\/p\u003e \u003cp\u003eISBN-13: 9780792386889\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-1-4615-4613-9\u003c\/p\u003e \u003cp\u003eDimensions: 235cm x155cm\u003c\/p\u003e \u003cp\u003ePages: 163\u003c\/p\u003e ","brand":"Springer US","offers":[{"title":"Default Title","offer_id":46265548832908,"sku":"9780792386889","price":152.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9780792386889.jpg?v=1770783089","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9780792386889","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}