ArticlePloS one2015
A Design Pattern for Decentralised Decision Making.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Bio-inspired decision making in robot swarms under biases.Nature communications · 2026Article
- Best-of-n decision making by human groups.PloS one · 2026Article
- Recent trends in robot learning and evolution for swarm robotics.Frontiers in robotics and AI · 2023Review
- Empirical assessment and comparison of neuro-evolutionary methods for the automatic off-line design of robot swarms.Nature communications · 2021Article
- Off-Policy Evaluation of the Performance of a Robot Swarm: Importance Sampling to Assess Potential Modifications to the Finite-State Machine That Controls the Robots.Frontiers in robotics and AI · 2021Article
- Blockchain Technology Secures Robot Swarms: A Comparison of Consensus Protocols and Their Resilience to Byzantine Robots.Frontiers in robotics and AI · 2020Article
- Adaptive Foraging in Dynamic Environments Using Scale-Free Interaction Networks.Frontiers in robotics and AI · 2020Article
- Automatic Off-Line Design of Robot Swarms: A Manifesto.Frontiers in robotics and AI · 2019Article
- Multiscale Modelling Tool: Mathematical modelling of collective behaviour without the maths.PloS one · 2019Article
- Psychophysical Laws and the Superorganism.Scientific reports · 2018Article
- Information Exchange Design Patterns for Robot Swarm Foraging and Their Application in Robot Control Algorithms.Frontiers in robotics and AI · 2018Article
- An Approach to Automated Fusion System Design and Adaptation.Sensors (Basel, Switzerland) · 2017Article
- Automatic detection and decoding of honey bee waggle dances.PloS one · 2017Article
Corrections and comments
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Authors and funding
5 authors.
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No grant is acknowledged in the PubMed record.
Abstract
The engineering of large-scale decentralised systems requires sound methodologies to guarantee the attainment of the desired macroscopic system-level behaviour given the microscopic individual-level implementation. While a general-purpose methodology is currently out of reach, specific solutions can be given to broad classes of problems by means of well-conceived design patterns. We propose a design pattern for collective decision making grounded on experimental/theoretical studies of the nest-site selection behaviour observed in honeybee swarms (Apis mellifera). The way in which honeybee swarms arrive at consensus is fairly well-understood at the macroscopic level. We provide formal guidelines for the microscopic implementation of collective decisions to quantitatively match the macroscopic predictions. We discuss implementation strategies based on both homogeneous and heterogeneous multiagent systems, and we provide means to deal with spatial and topological factors that have a bearing on the micro-macro link. Finally, we exploit the design pattern in two case studies that showcase the viability of the approach. Besides engineering, such a design pattern can prove useful for a deeper understanding of decision making in natural systems thanks to the inclusion of individual heterogeneities and spatial factors, which are often disregarded in theoretical modelling.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.