From artificial societies to new social science theory

Authors:
Eric Silverman;John Bryden
Affiliations:
School of Computing, University of Leeds, Leeds;School of Computing, University of Leeds, Leeds
Venue:
ECAL'07 Proceedings of the 9th European conference on Advances in artificial life
Year:
2007

Citing 1
Cited 3

Growing artificial societies: social science from the bottom up

Growing artificial societies: social science from the bottom up

Impact of communication on agent-based social simulations using the PAX framework

SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Extensible software for whole of society modeling: framework and preliminary results

Simulation
Complex systems modeling for supply and demand in health and social care

Proceedings of the Winter Simulation Conference

Quantified Score

Hi-index	0.00

Visualization

Abstract

We identify two distinct themes in social science modelling. One, more specific, approach is that of social simulation which addresses how behaviour of many actors can lead to emergent effects. We argue that this approach, while useful as a tool in social science policy development, is fundamentally constrained due to the fact that its models are developed within the society they are supposed to model. Alternatively, the second theme looks to take a more holistic view by taking inspiration from systems sociology. This approach looks to build societies from the bottom up and may allow us to generate new perspectives in social theory.