The institutional approach for modeling the evolution of human societies
- Submitting institution
-
Edinburgh Napier University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1110246
- Type
- D - Journal article
- DOI
-
10.1162/ARTL_a_00251
- Title of journal
- Artificial Life
- Article number
- -
- First page
- 10
- Volume
- 24
- Issue
- 1
- ISSN
- 1064-5462
- Open access status
- Compliant
- Month of publication
- February
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
0
- Research group(s)
-
-
- Citation count
- 2
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper develops an interdisciplinary computational methodology for modelling the evolution of institutions. This methodology led to the award of an ILAS fellowship to the first author, to apply the work to modelling fair load balancing in smart grids (https://www.keele.ac.uk/ilas/institutefellowships/visitingfellows2019-20/drsimonpowers/). It resulted in an invited seminar at University College London (https://www.ucl.ac.uk/pals/research/experimental-psychology/event/experimental-psychology-seminar-24/), and to a subsequent paper with the University of Lausanne and the University of Zurich (Powers, van Schaik & Lehmann, in press, preprint here: https://doi.org/10.31219/osf.io/v47ap), demonstrating impact in psychology and anthropology.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -