Hybrid Agent Modeling in Population Simulation: Current Approaches and Future Directions

Pei-jun Ye (), Xiao Wang (), Cheng Chen (), Yue-tong Lin () and Fei-Yue Wang ()
Additional contact information
Fei-Yue Wang: http://people.ucas.ac.cn/~0005251?language=en

Journal of Artificial Societies and Social Simulation, 2016, vol. 19, issue 1, 12

Abstract: Agent based population is fundamental to the micro-simulation of various dynamic urban eco- and social systems. This paper surveys the basic theories and methods of hybrid agent modeling in population simulation emerged recent years. We first introduce the framework of this hybrid agent based population generation. The current approaches of initial database synthesis including sample based and sample free methods are then discussed in detail, followed by a brief comparison of these methods. In addition, the major types and characteristics of agent models and their applications are also reviewed. Finally, we conclude by outlining the future directions of population research using agent technology

Keywords: Agent Modeling; Population Synthesis; Survey (search for similar items in EconPapers)
Date: 2016-01-31
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.jasss.org/19/1/12/12.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:jas:jasssj:2014-116-3

Access Statistics for this article

More articles in Journal of Artificial Societies and Social Simulation from Journal of Artificial Societies and Social Simulation
Bibliographic data for series maintained by Francesco Renzini ().