Bischoff, Philipp (2022) Decision making in swarm intelligence: replicating and expanding an agent-based model of nest-site choice by honeybee swarms. Bachelor's Thesis, Artificial Intelligence.
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Abstract
The organisation of organisms as a group yields many advantages. However, to develop and maintain group cohesion, the group will have to make decisions as a whole. The fact that many animals exhibit limited information-sharing capacities and still manage to act and solve problems as a whole indicates the need to further investigate the dynamics of decision making in groups. This emergent property known as Swarm Intelligence can be modelled through an agent-based model. This study replicated and validated a previously conducted agent-based simulation of a honeybee swarm’s ability to choose the best possible nest site in regards to their independence and interdependence. Furthermore, this paper expands previous research by simulating habitat and population loss and their effect on the groups’ decision making capabilities. Results showed a successful replication of the agent-based model and the expansion illustrated a negative effect on nest-site choice when population and habitats are reduced.
| Item Type: | Thesis (Bachelor's Thesis) |
|---|---|
| Supervisor name: | Grossi, D. |
| Degree programme: | Artificial Intelligence |
| Thesis type: | Bachelor's Thesis |
| Language: | English |
| Date Deposited: | 17 Mar 2022 10:26 |
| Last Modified: | 17 Mar 2022 10:26 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/26705 |
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