Nitschke, Geoff and Witkowski, Olaf (2018) The Dynamics of Cooperation versus Competition, Proceedings of Genetic and Evolutionary Computation Conference (GECCO 2018), Kyoto, Japan, 115-116.
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Abstract
Agent-Based Models (ABMs) are well established as complementary bottom-up computational tools for studying the impact of specific environmental and evolutionary conditions on emergent social phenomena such as cooperation and competition, as well as for generating empirical data to support game theory model predictions. This study uses an ABM to support or refute predictions elicited by game theoretic models on the interplay of genetic relatedness, cooperation and competition within and between groups of individuals (agents). Specifically, we empirically test the tug-of-war game theory hypothesis that cooperation in eusocial insect colonies is driven by the dynamics of within-group cooperation and between-group competition rather than genetic relatedness.
| Item Type: | Conference poster |
|---|---|
| Subjects: | Computing methodologies > Modeling and simulation |
| Date Deposited: | 09 Nov 2018 |
| Last Modified: | 10 Oct 2019 15:31 |
| URI: | http://pubs.cs.uct.ac.za/id/eprint/1284 |
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