TY - GEN
T1 - Network-aware multi-agent simulations of herder-farmer conflicts
AU - Dambanemuya, Henry K.
AU - Horvát, Emoke Ágnes
N1 - Funding Information:
The authors would like to thank Orsolya Vas´arhelyi and Brett O’Bannon for their feedback. This work was partially funded by the U.S. National Science Foundation under Grant No. IIS-1755873. * Corresponding author.
Publisher Copyright:
© 2019 Association for Computing Machinery.
PY - 2019/8/27
Y1 - 2019/8/27
N2 - We propose a network-aware multi-agent simulation approach to understanding the interlacing connections between herder-farmer communities in open property regimes. Specifically, we model herder-farmer conflicts in agent-based terms whereby individual decision-making, pastoral mobility, and symbiotic herder-farmer relations result in the emergence of a complex adaptive system in which communal resources are managed in ways that either lead to peaceful coexistence or conflict. From a theoretical perspective, we hope to further understanding of how individual decision-making and coordination produces complex adaptive systems as well as how emergent structures shape individual action. In practice, we anticipate that this study will help shed light on how herder-farmer communities can cooperate and coordinate their activity and mobility patterns to manage common pool resources in sustainable ways that mitigate violent conflict. Broadly, our work aims to contribute new insights towards multi-agent modelling of traditional small-scale societies.
AB - We propose a network-aware multi-agent simulation approach to understanding the interlacing connections between herder-farmer communities in open property regimes. Specifically, we model herder-farmer conflicts in agent-based terms whereby individual decision-making, pastoral mobility, and symbiotic herder-farmer relations result in the emergence of a complex adaptive system in which communal resources are managed in ways that either lead to peaceful coexistence or conflict. From a theoretical perspective, we hope to further understanding of how individual decision-making and coordination produces complex adaptive systems as well as how emergent structures shape individual action. In practice, we anticipate that this study will help shed light on how herder-farmer communities can cooperate and coordinate their activity and mobility patterns to manage common pool resources in sustainable ways that mitigate violent conflict. Broadly, our work aims to contribute new insights towards multi-agent modelling of traditional small-scale societies.
KW - Multi-agent simulations
KW - Peacebuilding
KW - Social networks
UR - http://www.scopus.com/inward/record.url?scp=85078858879&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85078858879&partnerID=8YFLogxK
U2 - 10.1145/3341161.3343682
DO - 10.1145/3341161.3343682
M3 - Conference contribution
AN - SCOPUS:85078858879
T3 - Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2019
SP - 721
EP - 722
BT - Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2019
A2 - Spezzano, Francesca
A2 - Chen, Wei
A2 - Xiao, Xiaokui
PB - Association for Computing Machinery, Inc
T2 - 11th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2019
Y2 - 27 August 2019 through 30 August 2019
ER -
