ArticlePLoS computational biology2011
Smart swarms of bacteria-inspired agents with performance adaptable interactions.
Article in PLoS computational biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Characterizing the Impact of Communication on Cellular and Collective Behavior Using a Three-Dimensional Multiscale Cellular Model.Entropy (Basel, Switzerland) · 2023Article
- From Bench to Keyboard and Back Again: A Brief History of Lambda Phage Modeling.Annual review of biophysics · 2021Review
- Article
- Adjustment in tumbling rates improves bacterial chemotaxis on obstacle-laden terrains.Proceedings of the National Academy of Sciences of the United States of America · 2019Article
- Modelling collective motion based on the principle of agency: General framework and the case of marching locusts.PloS one · 2019Article
- A statistical physics view of swarming bacteria.Movement ecology · 2019Review
- Cell-cell communication enhances bacterial chemotaxis toward external attractants.Scientific reports · 2017Article
- Adaptive behaviors in multi-agent source localization using passive sensing.Adaptive behavior · 2016Article
- Self-organized sorting limits behavioral variability in swarms.Scientific reports · 2016Article
- A model for collective dynamics in ant raids.Journal of mathematical biology · 2016Article
- Article
- Locust Collective Motion and Its Modeling.PLoS computational biology · 2015Review
- Tumor invasion optimization by mesenchymal-amoeboid heterogeneity.Scientific reports · 2015Article
- Confidence sharing: an economic strategy for efficient information flows in animal groups.PLoS computational biology · 2014Article
- Collective decision-making in microbes.Frontiers in microbiology · 2014Article
- Article
- Swarming: flexible roaming plans.Journal of bacteriology · 2013Review
- Auto-production of biosurfactants reverses the coffee ring effect in a bacterial system.Nature communications · 2013Article
- Collective navigation of cargo-carrying swarms.Interface focus · 2012Article
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Authors and funding
4 authors.
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Abstract
Collective navigation and swarming have been studied in animal groups, such as fish schools, bird flocks, bacteria, and slime molds. Computer modeling has shown that collective behavior of simple agents can result from simple interactions between the agents, which include short range repulsion, intermediate range alignment, and long range attraction. Here we study collective navigation of bacteria-inspired smart agents in complex terrains, with adaptive interactions that depend on performance. More specifically, each agent adjusts its interactions with the other agents according to its local environment--by decreasing the peers' influence while navigating in a beneficial direction, and increasing it otherwise. We show that inclusion of such performance dependent adaptable interactions significantly improves the collective swarming performance, leading to highly efficient navigation, especially in complex terrains. Notably, to afford such adaptable interactions, each modeled agent requires only simple computational capabilities with short-term memory, which can easily be implemented in simple swarming robots.
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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.