The Boundaries of Cognition and Decision Making

Files

hdl_147108.pdf (1.02 MB)
  (Published version)

Date

2022

Authors

Prike, T.
Higham, P.A.
Bijak, J.

Editors

Bijak, J.

Advisors

Journal Title

Journal ISSN

Volume Title

Type:

Book chapter

Citation

Towards Bayesian Model-Based Demography, 2022 / Bijak, J. (ed./s), vol.17, Ch.6, pp.93-112

Statement of Responsibility

Toby Prike, Philip A. Higham, and Jakub Bijak

Conference Name

Abstract

This chapter outlines the role that individual-level empirical evidence gathered from psychological experiments and surveys can play in informing agent-based models, and the model-based approach more broadly. To begin with, we provide an overview of the way that this empirical evidence can be used to inform agent-based models. Additionally, we provide three detailed exemplars that outline the development and implementation of experiments conducted to inform an agent-based model of asylum migration, as well as how such data can be used. There is also an extended discussion of important considerations and potential limitations when conducting laboratory or online experiments and surveys, followed by a brief introduction to exciting new developments in experimental methodology, such as gamification and virtual reality, that have the potential to address some of these limitations and open the door to promising and potentially very fruitful new avenues of research.

School/Discipline

Dissertation Note

Provenance

Description

Access Status

Rights

© The Author(s) 2022. Open Access This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made. The images or other third party material in this chapter are included in the chapter’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.

License

Grant ID

Call number

Persistent link to this record