Journal
SWARM INTELLIGENCE
Volume 9, Issue 2-3, Pages 75-102Publisher
SPRINGER
DOI: 10.1007/s11721-015-0105-y
Keywords
Collective decision making; Micro-macro link; Shortest path selection; Swarm robotics; Design pattern
Funding
- European Research Council through the ERC [246939]
- EU-FP7 Project DICE: Distributed Cognition Engineering - European Commissions FP7 People Programme under the Marie Curie Career Integration Grant scheme [631297]
- Belgian F.R.S.-FNRS
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In this paper, we study how to obtain a quantitative correspondence between the dynamics of the microscopic implementation of a robot swarm and the dynamics of a macroscopic model of nest-site selection in honeybees. We do so by considering a collective decision-making case study: the shortest path discovery/selection problem. In this case study, obtaining a quantitative correspondence between the microscopic and macroscopic dynamics-the so-called micro-macro link problem-is particularly challenging because the macroscopic model does not take into account the spatial factors inherent to the path discovery/selection problem. We frame this study in the context of a general engineering methodology that prescribes the inclusion of available theoretical knowledge about target macroscopic models into design patterns for the microscopic implementation. The attainment of the micro-macro link presented in this paper represents a necessary step towards the formalisation of a design pattern for collective decision making in distributed systems.
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