Managing Market Complexity [electronic resource] :The Approach of Artificial Economics / edited by Andrea Teglio, Simone Alfarano, Eva Camacho-Cuena, Miguel Ginés-Vilar.
by Teglio, Andrea [editor.]; Alfarano, Simone [editor.]; Camacho-Cuena, Eva [editor.]; Ginés-Vilar, Miguel [editor.]; SpringerLink (Online service).
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Item type | Current location | Call number | Status | Date due | Barcode |
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MAIN LIBRARY | HB1-846.8 (Browse shelf) | Available |
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R895-920 Atlas of PET/MR Imaging in Oncology | TA1637-1638 Image Analysis and Recognition | TA1637-1638 Image Analysis and Recognition | HB1-846.8 Managing Market Complexity | HD28-70 Quantitative Models for Value-Based Supply Chain Management | GB5000-5030 Landslide Science and Practice | GB5000-5030 Landslide Science and Practice |
Preface -- Part I: Networks -- Part II: Macroeconomics -- Part III: Finance -- Part IV: Industrial Organization -- Part V: Management -- Part VI: Methodological Issues.
The field of artificial economics (AE) embraces a broad range of methodologies relying on computer simulations in order to model and study the complexity of economic and social phenomena. The overarching principle of AE is the analysis of aggregate properties of artificial economies populated by adaptive agents that are equipped with behavioural rules and specific individual targets. These aggregate properties are neither foreseen nor intended by the artificial agents; conversely they are emerging characteristics of such artificially simulated systems. The book presents a peer-reviewed collection of papers addressing a variety of issues related to macroeconomics, industrial organization, networks, management and finance, as well as purely methodological issues.
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