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Record Nr. |
UNINA9910438073903321 |
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Titolo |
Managing market complexity : the approach of artificial economics / / Andrea Teglio ...[et al.], editors |
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Pubbl/distr/stampa |
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Berlin ; ; New York, : Springer, c2012 |
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ISBN |
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1-283-63122-9 |
9786613943675 |
3-642-31301-9 |
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Edizione |
[1st ed. 2013.] |
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Descrizione fisica |
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1 online resource (254 p.) |
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Collana |
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Lecture notes in economics and mathematical systems, , 0075-8442 ; ; 662 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Economics - Data processing |
Economics, Mathematical |
Economics - Computer simulation |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Preface -- Part I: Networks -- Part II: Macroeconomics -- Part III: Finance -- Part IV: Industrial Organization -- Part V: Management -- Part VI: Methodological Issues. |
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Sommario/riassunto |
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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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