Rumours lead to self-organized migration routes
Rumours lead to self-organized migration routes
Migrants attempting to reach a safe destination often have to make navigation decisions based on very limited information that is to a large degree sourced from other migrants that have made the journey before. Communication between migrants could therefore be a key factor in determining the dynamics of migration. We study the effect of information transfer on the variability and optimality of migration routes using an agent-based model with explicit representation of geography, resources and the agents’ knowledge thereof. We find that unless agents very quickly acquire objective information from the environment, a higher degree of social information exchange leads to less predictable and less optimal migration routes. This indicates that if a high proportion of information is socially received, routes are the result of self-organization rather than optimization. We suggest that similar effects should occur in all situations where individuals have to make complex decisions under limited information but in a social context.
Hinsch, Martin
660b9bb4-148f-4692-9014-8db1d751ae57
Bijak, Jakub
e33bf9d3-fca6-405f-844c-4b2decf93c66
2019
Hinsch, Martin
660b9bb4-148f-4692-9014-8db1d751ae57
Bijak, Jakub
e33bf9d3-fca6-405f-844c-4b2decf93c66
Hinsch, Martin and Bijak, Jakub
(2019)
Rumours lead to self-organized migration routes.
The 2019 Conference on Artificial Life: How Can Artificial Life Help Solve Societal Challenges?, Newcastle Helix, Newcastle upon Tyne, United Kingdom.
29 Jul - 02 Aug 2019.
Record type:
Conference or Workshop Item
(Paper)
Abstract
Migrants attempting to reach a safe destination often have to make navigation decisions based on very limited information that is to a large degree sourced from other migrants that have made the journey before. Communication between migrants could therefore be a key factor in determining the dynamics of migration. We study the effect of information transfer on the variability and optimality of migration routes using an agent-based model with explicit representation of geography, resources and the agents’ knowledge thereof. We find that unless agents very quickly acquire objective information from the environment, a higher degree of social information exchange leads to less predictable and less optimal migration routes. This indicates that if a high proportion of information is socially received, routes are the result of self-organization rather than optimization. We suggest that similar effects should occur in all situations where individuals have to make complex decisions under limited information but in a social context.
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Paper_ALife_2019
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Accepted/In Press date: 29 June 2019
Published date: 2019
Venue - Dates:
The 2019 Conference on Artificial Life: How Can Artificial Life Help Solve Societal Challenges?, Newcastle Helix, Newcastle upon Tyne, United Kingdom, 2019-07-29 - 2019-08-02
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Local EPrints ID: 432965
URI: http://eprints.soton.ac.uk/id/eprint/432965
PURE UUID: b72a3653-f9d7-4dee-bf55-6288808210bd
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Date deposited: 05 Aug 2019 16:30
Last modified: 16 Mar 2024 04:37
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Author:
Martin Hinsch
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