MARC details
| 000 -LEADER |
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| fixed length control field |
02191nam a22002537a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
191121b xxu||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781108414999 |
| 037 ## - SOURCE OF ACQUISITION |
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| Terms of availability |
Purchased |
| Note |
Swamy Law House,Ernakulam (Cusat Book Fest 2019) |
| 041 ## - LANGUAGE CODE |
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| Language code of text/sound track or separate title |
English |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
330.015195 |
| Item number |
AGE |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Nil |
| 245 ## - TITLE STATEMENT |
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| Title |
AGENT-BASED MODELS IN ECONOMICS : |
| Remainder of title |
A Toolkit |
| 250 ## - EDITION STATEMENT |
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| Edition statement |
1 |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
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| Place of publication, distribution, etc. |
New York |
| Name of publisher, distributor, etc. |
Cambridge University Press |
| Date of publication, distribution, etc. |
2018/01/01 |
| 300 ## - PHYSICAL DESCRIPTION |
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| Size of unit |
241 |
| 500 ## - GENERAL NOTE |
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| General note |
<br/>In contrast to mainstream economics, complexity theory conceives the economy as a complex system of heterogeneous interacting agents characterised by limited information and bounded rationality. Agent Based Models (ABMs) are the analytical and computational tools developed by the proponents of this emerging methodology. Aimed at students and scholars of contemporary economics, this book includes a comprehensive toolkit for agent-based computational economics, now quickly becoming the new way to study evolving economic systems. Leading scholars in the field explain how ABMs can be applied fruitfully to many real-world economic examples and represent a great advancement over mainstream approaches. The essays discuss the methodological bases of agent-based approaches and demonstrate step-by-step how to build, simulate and analyse ABMs and how to validate their outputs empirically using the data. They also present a wide set of applications of these models to key economic topics, including the business cycle, labour markets, and economic growth. |
| 505 ## - FORMATTED CONTENTS NOTE |
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| Formatted contents note |
1. Heterogeneity in a neoclassical World<br/>2. Agent Based Computational Economics<br/>3.. Agent Based Models as Recursive System<br/>4. Rationality, Behavior and Expectations<br/>5. Agent's Behavior and Learning<br/>6. Interaction<br/>7. The Agent- Based Experiment<br/>8. Empirical Validation of Agent- Based Models<br/>9. Estimation of agent Based Models<br/>10. Epilogue |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Econometric models. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Economics--Mathematical models. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Econometric. |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Gatti, Domenico Delli (ed.) |
| -- |
Fagiolo, Giorgio (ed.) |
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Gallegati, Mauro (ed.) |
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Richiardi, Matteo (ed.) |
| -- |
Russo, Alberto (ed.) |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Koha item type |
Reference |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Source of classification or shelving scheme |
Dewey Decimal Classification |