Synopsis of Social media discussions
The overall sentiment is positive, emphasizing the biological and modeling aspects of Physarum transport networks, with examples like comments on its navigational ability, references to detailed modeling methods, and enthusiastic mentions of its potential applications, which demonstrate deep interest and engagement. The choice of words such as 'fascinating' and 'excellent paper' underscores genuine appreciation and recognition of the research's impact in understanding natural pattern formation.
Agreement
Moderate agreementMost discussions highlight the fascinating nature of Physarum's behavior and support its significance for understanding natural pattern formation, indicating general agreement with the article's themes.
Interest
High level of interestThe topics such as slime molds' navigation and modeling methods evoke high curiosity, as reflected by enthusiastic comments and references to learning and artistic applications.
Engagement
Moderate level of engagementParticipants actively reference specific studies, outline modeling techniques, and discuss biological behaviors, showing thoughtful and meaningful engagement.
Impact
Moderate level of impactThe conversations suggest recognition of the research's potential influence, with mentions of applications in art and modeling, implying moderate to high relevance in related fields.
Social Mentions
YouTube
4 Videos
2 Posts
21 Posts
Blogs
3 Articles
News
9 Articles
Metrics
Video Views
117,173
Total Likes
7,827
Extended Reach
148,979
Social Features
39
Timeline: Posts about article
Top Social Media Posts
Posts referencing the article
Pattern Formation in Physarum-Inspired Transport Networks
This study explores how simple agent-based models, inspired by the slime mold Physarum polycephalum, can spontaneously form complex, dynamic transport networks through local behaviors like chemotaxis. These patterns mimic natural systems and hold potential for unconventional computation.
Physarum polycephalum and Network Formation Simulation
Physarum polycephalum can solve shortest path problems and mimic transport networks. Its growth models natural systems and may be used for unconventional computation, demonstrating emergent pattern formation through simple rules.
Physarum Polycephalum Pattern Formation and Transport Network Modeling
This video demonstrates a slime mold simulation inspired by Physarum polycephalum, showing how simple agent-based models can spontaneously form complex transport networks through local behaviors like chemotaxis, mimicking natural biological systems.
Simulating Physarum Polycephalum Pattern Formation and Network Dynamics
A modified model demonstrates how agent-based simulations inspired by Physarum polycephalum can spontaneously form complex transport networks through local behaviors like chemotaxis. This highlights potential applications in biological mimicry and unconventional computation.
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Characteristics of pattern formation and evolution in approximations of physarum transport networks?
view full postNovember 25, 2024
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hazistic.
@mlachahe (Twitter)RT @pattvira: Slime molds aren’t the prettiest looking thing, but their ability to navigate spaces is just so fascinating!
view full postAugust 18, 2024
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Deniz
@ojelibalon (Twitter)@UgurEnginDeniz I am not familiar with the after effects Physarum. The explanation is based on the paper "Characteristics of Pattern Formation and Evolution in Approximations of Physarum Transport Networks" by Jeff Jones.
view full postAugust 7, 2024
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Ubermensch
@marcusdayounger (Twitter)#LSPPDay25 Explored a paper titled "Characteristics of Pattern Formation and Evolution in Approximations of Physarum Transport Networks" and learnt methods to simulate slime mould movement. #60DaysOfLearning #LearningWithLeapfrog https://t.co/5aVzaC1rml
view full postJune 25, 2024
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kenbunroku
@kuwatchi (Twitter)Refs: https://t.co/VHAySVfBmp https://t.co/9H5pHUpfuk https://t.co/AUe47Fgafr
view full postMay 26, 2024
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WeiTing Lin(GR15
@weitinglin66 (Twitter)RT @pattvira: Slime molds aren’t the prettiest looking thing, but their ability to navigate spaces is just so fascinating!
view full postApril 20, 2024
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⭕ slt
@slt_fa (Twitter)RT @pattvira: Slime molds aren’t the prettiest looking thing, but their ability to navigate spaces is just so fascinating!
view full postMarch 17, 2024
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Jun seo Hahm
@junkomix (Twitter)RT @pattvira: Slime molds aren’t the prettiest looking thing, but their ability to navigate spaces is just so fascinating!
view full postMarch 17, 2024
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GraphOfLife
@GraphOfLife21 (Twitter)RT @pattvira: Slime molds aren’t the prettiest looking thing, but their ability to navigate spaces is just so fascinating!
view full postMarch 17, 2024
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NUM
@num_kt_1220 (Twitter)RT @pattvira: Slime molds aren’t the prettiest looking thing, but their ability to navigate spaces is just so fascinating!
view full postMarch 16, 2024
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juanma, si, juanma
@JuanmaR0driguez (Twitter)RT @pattvira: Slime molds aren’t the prettiest looking thing, but their ability to navigate spaces is just so fascinating!
view full postMarch 16, 2024
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Alexander Watson
@AleThoWat (Twitter)RT @pattvira: Slime molds aren’t the prettiest looking thing, but their ability to navigate spaces is just so fascinating!
view full postMarch 16, 2024
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Patt Vira
@pattvira (Twitter)Slime molds aren’t the prettiest looking thing, but their ability to navigate spaces is just so fascinating!
view full postFebruary 23, 2024
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space✨
@lethal___laser (Twitter)"this work is based on the paper "Characteristics of pattern formation and evolution in approximations of physarum transport networks", written by Jeff Jones and popularized in the artistic field by Sage Jenson."
view full postMay 21, 2022
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Bernhard Hellmann
@myco_THINK (Twitter)Characteristics of pattern formation and evolution in approximations of physarum transport networks https://t.co/XdW5C1B8Lj
view full postOctober 12, 2021
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interphx
@interphx (Twitter)@finalfire Thanks! In short, each agent (particle) leaves a trail of "pheromones" and steers towards high-pheromone areas unoccupied by other agents. This results in a network-like pattern. There is an excellent paper describing the process in more detail: https://t.co/DcKX8fJcTK
view full postSeptember 12, 2021
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↑ Michael Bukatin ↩
@ComputingByArts (Twitter)A model of slime mold dynamics: "Characteristics of pattern formation and evolution in approximations of physarum transport networks": https://t.co/DsbiqkJFqy https://t.co/d4DchhkaDx
view full postJuly 2, 2021
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John Walshaw
@seqwave (Twitter)#R + modelling the slime mould #Physarum polycephalum re Jones (2010) https://t.co/NyAZtObOvO) https://t.co/EsAwSUYA8o
view full postAugust 15, 2020
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30-50 feral prigs
@lukedones (Twitter)@sir_galahead Apparently this is an accepted way of doing business ... but 'yes' is the answer to your Star Trek question ;) https://t.co/IId23NlINz
view full postMarch 10, 2020
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Louis Maddox
@permutans (Twitter)RT @mxsage: @zzznah I’m working on a write up / example! Sorry for the suspense. In the meantime check out Jones, J. (2010) Characteristics…
view full postFebruary 19, 2019
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articulation copy (2)
@mxsage (Twitter)@zzznah I’m working on a write up / example! Sorry for the suspense. In the meantime check out Jones, J. (2010) Characteristics of Pattern Formation and Evolution in Approximations of Physarum Transport Networks, Artificial Life, (16), 2, p127-153.
view full postFebruary 19, 2019
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Abstract Synopsis
- The study explores how simple agent-based models, inspired by the slime mold Physarum polycephalum, can spontaneously form complex, dynamic transport networks through local behaviors like chemotaxis.
- Different pattern types, including spots, labyrinths, and bifurcating networks, can be generated by adjusting basic parameters, showcasing how complex behaviors emerge without complex rules or hierarchical mechanisms.
- The findings suggest that these emergent patterns mimic natural biological systems and could be used for unconventional computation by harnessing pattern formation processes for spatial information processing.
primitive Artificial Life
@ParticleLife_AI (Twitter)