Paper Info
Title
Network-aware multi-agent simulations of herder-farmer conflicts.
Abstract
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.
Year
DOI
Venue
2019
10.1145/3341161.3343682
ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining Vancouver British Columbia Canada August, 2019
Keywords
Field
DocType
Multi-Agent Simulations, Social Networks, Peacebuilding
Data science,Computer science,Network aware,Artificial intelligence,Machine learning
Conference
ISBN
Citations 
PageRank 
978-1-4503-6868-1
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Henry K. Dambanemuya101.35
Emoke-Ágnes Horvát274.20