Agent-based models
Material type: TextPublication details: New Delhi Sage 2020Edition: 2Description: xv,112p. illISBN: 9781506355603Subject(s): Social sciences | Game theory | Computer simulation | Social sciences--Research--Methodology DDC classification: 519.3 Summary: "Agent-based simulation has become increasingly popular as a modeling approach in the social sciences because it enables researchers to build models where individual entities and their interactions are directly represented. The Second Edition of Nigel Gilbert's Agent-Based Models introduces this technique; considers a range of methodological and theoretical issues; shows how to design an agent-based model, with a simple example; offers some practical advice about developing, verifying and validating agent-based models; and finally discusses how to plan an agent-based modelling project, publish the results and apply agent-based modeling to formulate and evaluate social and economic policies. A website to accompany the book includes a simulation using NetLogo"--Item type | Current library | Call number | Status | Date due | Barcode |
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BK | Stack | 519.3 GIL/A (Browse shelf (Opens below)) | Available | 54742 |
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519.232 BAS/S Stochastic processes | 519.233 HAN Handbook for Markov chain Monte Carlo | 519.233 STR/M Multidimensional diffusion processes / | 519.3 GIL/A Agent-based models | 519.3 KOL/U Understanding game theory : introduction to the analysis of many agent systems with competition and cooperation | 519.3 MIT/O Optimization methods in operations research and systems analysis / | 519.3 MIT/O Optimization methods in operations research and systems analysis / |
"Agent-based simulation has become increasingly popular as a modeling approach in the social sciences because it enables researchers to build models where individual entities and their interactions are directly represented. The Second Edition of Nigel Gilbert's Agent-Based Models introduces this technique; considers a range of methodological and theoretical issues; shows how to design an agent-based model, with a simple example; offers some practical advice about developing, verifying and validating agent-based models; and finally discusses how to plan an agent-based modelling project, publish the results and apply agent-based modeling to formulate and evaluate social and economic policies. A website to accompany the book includes a simulation using NetLogo"--
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