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Several posts reflect on the innovative use of slime molds in network modeling, such as mentions of how researchers demonstrated the slime mold's ability to replicate the efficient layout of the Tokyo railway. Phrases like 'a much cheaper alternative would be to use a slime mold computer' and 'an organism without a brain achieved something similar to the best network in the world' indicate a tone of excitement and admiration for nature's problem-solving capabilities, contributing to a positive overall sentiment.
The majority of discussions express strong alignment with the ideas presented in the publication, highlighting the significance of biologically inspired network design.
There is considerable enthusiasm for the paper, with many users actively engaging and sharing information about its findings.
Contributors dive deep into the concepts, often referencing specific experiments, models, and real-world applications related to the study.
Participants widely recognize the potential implications of the research on future network construction and design practices.
Un estudio japonés (Tero et al, 2010) utilizó moho para evaluar la red de transporte de Tokio, ante barreras similares el moho creó conexiones similares al metro de Tokio. Un organismo sin cerebro logró algo similar a la mejor red del mundo, asombroso https://t.co/MzSyJWv3BM https://t.co/FHP97uPLqk
You can read the annotated paper here: https://t.co/6PsxYR9mJh
fazer que nem os cientistas e engenheiros de tráfego japoneses, deixar fungos darem a direção da minha vida assim como eles os deixaram direcionar a malha ferroviária de tóquio https://t.co/ZIkjQgmu4V
This is Tero, A., Takagi, S., Saigusa, T., Ito, K., Bebber, D. P., Fricker, M. D., ... & Nakagaki, T. (2010). Rules for biologically inspired adaptive network design. Science, 327(5964), 439-442. https://t.co/6S7e1tKW5Z
Fun fact Friday!
Tero et al 2010 used this to argue for the utility of biologically inspired mathematical models to help guide network construction! Ref: Tero et al 2010 Rules for Biologically Inspired Adaptive Network Design. Science 327:439-442 8/n (I ain't done).
Researchers demonstrate that the slime mould Physarum polycephalum can exhibit habituation, a form of learning typically associated with neural organisms. This groundbreaking discovery suggests non-neural organisms…
This video explores the capabilities of slime molds, specifically Physarum polycephalum, to exhibit habituation—a learning process seen in neural organisms. Discover how these remarkable creatures respond to repeated…
Hosts Max, Vi, Issy, Peta, and Gabe explore the efficiency of biological networks. Discover how organisms like the slime mold Physarum polycephalum adapt to optimize transport systems, offering solutions to complex…
RT @fermatslibrary: You can read the annotated paper here: https://t.co/6PsxYR9mJh
-tralized consensus, but make it slime. > Reference: Tero et al., Rules for Biologically Inspired Adaptive Network Design, Science, 2010.
@PabloGrueso @Recuenco @polymatas https://t.co/znTB2FZGFh
https://t.co/VxsA23i9Cz
@A_Firend3 yoooo i was just reading this one!!! https://t.co/DmS2Bh5bKx
https://t.co/YRUBHr50SM https://t.co/zmg8AG0DfI
RT @fermatslibrary: You can read the annotated paper here: https://t.co/6PsxYR9mJh
RT @fermatslibrary: You can read the annotated paper here: https://t.co/6PsxYR9mJh
RT @fermatslibrary: You can read the annotated paper here: https://t.co/6PsxYR9mJh
You can read the annotated paper here: https://t.co/6PsxYR9mJh
Back in 2010 researchers placed food sources ('cities') on a map of the Tokyo area. An amoeboid slime mold developed a network between sources similar to the Tokyo rail system in efficiency and redundancy. #ComplexSystems https://t.co/H1DCihNe9Q
Not the mycelium, but the slime mold as example of transport engineering: * Rules for Biologically Inspired Adaptive Network Design https://t.co/C34aQDUkRy
今日聴いてる学会のある発表の参考文献，面白い https://t.co/VMNPY2BpzZ
RT @angryhacademic: Fun fact: although slime mould exhibits behaviours similar to fungi, plants, and animals, they are amoebae that make sp…
@juanif17 https://t.co/ve4ta5TYFa
@SeskirZeki @neirenoir Maze-solving by an amoeboid organism https://t.co/V5I2CP0eWL Rules for Biologically Inspired Adaptive Network Design https://t.co/5uYEHYDzG2
https://t.co/dHSWP5PrpL
"Separately, companies like BMW are investigating the use of quantum computers to identify optimal locations to install electric vehicle charging stations." A much cheaper (and potentially more serious) alternative would be to use a slime mold computer. https://t.co/hhEN4IGz9l https://t.co/v9KPSdlMeT
RT @E7VZO: Acá les dejo el paper fundacional de este hilo. https://t.co/GQhs2fE2CO
Fun fact: although slime mould exhibits behaviours similar to fungi, plants, and animals, they are amoebae that make spores. These spores create networks that can even simulate road and rail networks https://t.co/JDNI1BXO4O https://t.co/6n8gInJ95V Watch: https://t.co/ZC2QaD7li9 https://t.co/UvVKxPagA5
Como siempre les dejo la fuente de información. Rules for Biologically Inspired Adaptive Network Design DOI: 10.1126/science.1177894 Aquí les dejo un link con el articulo por si quieren leerlo y saber mas sobre el modelo matematico. https://t.co/yLm78BRs84
RT @arieIIopez: Un estudio japonés (Tero et al, 2010) utilizó moho para evaluar la red de transporte de Tokio, ante barreras similares el…
RT @arieIIopez: Un estudio japonés (Tero et al, 2010) utilizó moho para evaluar la red de transporte de Tokio, ante barreras similares el…
RT @arieIIopez: Un estudio japonés (Tero et al, 2010) utilizó moho para evaluar la red de transporte de Tokio, ante barreras similares el…
RT @arieIIopez: Un estudio japonés (Tero et al, 2010) utilizó moho para evaluar la red de transporte de Tokio, ante barreras similares el…
RT @arieIIopez: Un estudio japonés (Tero et al, 2010) utilizó moho para evaluar la red de transporte de Tokio, ante barreras similares el…
RT @arieIIopez: Un estudio japonés (Tero et al, 2010) utilizó moho para evaluar la red de transporte de Tokio, ante barreras similares el…
RT @arieIIopez: Un estudio japonés (Tero et al, 2010) utilizó moho para evaluar la red de transporte de Tokio, ante barreras similares el…
RT @arieIIopez: Un estudio japonés (Tero et al, 2010) utilizó moho para evaluar la red de transporte de Tokio, ante barreras similares el…
RT @arieIIopez: Un estudio japonés (Tero et al, 2010) utilizó moho para evaluar la red de transporte de Tokio, ante barreras similares el…
RT @arieIIopez: Un estudio japonés (Tero et al, 2010) utilizó moho para evaluar la red de transporte de Tokio, ante barreras similares el…
RT @arieIIopez: Un estudio japonés (Tero et al, 2010) utilizó moho para evaluar la red de transporte de Tokio, ante barreras similares el…
RT @arieIIopez: Un estudio japonés (Tero et al, 2010) utilizó moho para evaluar la red de transporte de Tokio, ante barreras similares el…
RT @arieIIopez: Un estudio japonés (Tero et al, 2010) utilizó moho para evaluar la red de transporte de Tokio, ante barreras similares el…
RT @arieIIopez: Un estudio japonés (Tero et al, 2010) utilizó moho para evaluar la red de transporte de Tokio, ante barreras similares el…
RT @arieIIopez: Un estudio japonés (Tero et al, 2010) utilizó moho para evaluar la red de transporte de Tokio, ante barreras similares el…
RT @arieIIopez: Un estudio japonés (Tero et al, 2010) utilizó moho para evaluar la red de transporte de Tokio, ante barreras similares el…
RT @arieIIopez: Un estudio japonés (Tero et al, 2010) utilizó moho para evaluar la red de transporte de Tokio, ante barreras similares el…
RT @arieIIopez: Un estudio japonés (Tero et al, 2010) utilizó moho para evaluar la red de transporte de Tokio, ante barreras similares el…
Un estudio japonés (Tero et al, 2010) utilizó moho para evaluar la red de transporte de Tokio, ante barreras similares el moho creó conexiones similares al metro de Tokio. Un organismo sin cerebro logró algo similar a la mejor red del mundo, asombroso https://t.co/MzSyJWv3BM https://t.co/FHP97uPLqk
Fun fact Friday!
@Eran_Efrat תתחיל באלו: https://t.co/zJ4WfI9Ffl https://t.co/DHxYvKVfTA והכי מפורסם: https://t.co/9s6jRBkCQX
2008년에 이그노벨 인지과학상을 수상한 연구(doi: 10.1038/35035159)와 2010년에 이그노벨 운송계획상을 수상한 연구(doi: 10.1126/science.1177894) 모두 나카가키 토시유키 교수 연구팀이 수행했다고 한다. 그 뒤로 다른 연구자들도 황색망사점균의 학습 능력을 증명하거나 메커니즘을 연구했다고.
https://www.youtube.com/watch?v=k_GTIL7AECQ
RT @JonathonPSine: Researchers found in 2010 that slime molds—when exposed to oat flakes distributed in the pattern of Tokyo rail stops—cou…
Researchers found in 2010 that slime molds—when exposed to oat flakes distributed in the pattern of Tokyo rail stops—could rapidly and reliably flesh out a network structure of comparable efficiency, fault tolerance, and cost to that of human planners. https://t.co/hSPnXEYPNY
Rules for Biologically Inspired Adaptive Network Design https://t.co/aDyVBURTC1
Del 2010 pero aún inspiradora. Lectura para hoy Rules for Biologically Inspired Adaptive Network Design https://t.co/aDyVBURTC1
Deux ans plus tard, il est primé pour cet article publié dans #Science https://t.co/714IveVQS4
RT @theodora_julia: fazer que nem os cientistas e engenheiros de tráfego japoneses, deixar fungos darem a direção da minha vida assim como…
fazer que nem os cientistas e engenheiros de tráfego japoneses, deixar fungos darem a direção da minha vida assim como eles os deixaram direcionar a malha ferroviária de tóquio https://t.co/ZIkjQgmu4V
Gente Rules for Biologically Inspired Adaptive Network Design - Scientific Figure on ResearchGate. Available from: https://t.co/zyYDeURFsK [accessed 9 Aug, 2022]
Tero, A., Takagi, S., Saigusa, T., Ito, K., Bebber, D. P., Fricker, M. D., ... & Nakagaki, T. (2010). Rules for biologically inspired adaptive network design. Science, 327(5964), 439-442. Retrieved from https://t.co/deolEUwCXJ
Acá les dejo el paper fundacional de este hilo. https://t.co/GQhs2fE2CO
The rail network paper: https://t.co/zF9JuBn71F The maze solving paper: https://t.co/XfPcv1gEHr
RT @yudhanjaya: This is Tero, A., Takagi, S., Saigusa, T., Ito, K., Bebber, D. P., Fricker, M. D., ... & Nakagaki, T. (2010). Rules for bio…
This is Tero, A., Takagi, S., Saigusa, T., Ito, K., Bebber, D. P., Fricker, M. D., ... & Nakagaki, T. (2010). Rules for biologically inspired adaptive network design. Science, 327(5964), 439-442. https://t.co/6S7e1tKW5Z
@mrauchs “Rules for Biologically Inspired Adaptive Network Design” by Tero et al. Slime mold decentralized transportation network design mimicking Tokyo railway.
RT @chai_tan_ya: @JayeHarrill @Rainmaker1973 The Nakagaki group did expts originally with topography and overlaid the network they got with…
RT @chai_tan_ya: @JayeHarrill @Rainmaker1973 The Nakagaki group did expts originally with topography and overlaid the network they got with…
RT @chai_tan_ya: @JayeHarrill @Rainmaker1973 The Nakagaki group did expts originally with topography and overlaid the network they got with…
3/ The original paper: Tero et al. (2010) Rules for Biologically Inspired Adaptive Network Design Science 327(5964):439-42
@JayeHarrill @Rainmaker1973 The Nakagaki group did expts originally with topography and overlaid the network they got with the actual map. Tero et al. (2010) Rules for Biologically Inspired Adaptive Network Design Science 327(5964):439-42 https://t.co/up09kOUEiy
@munin Researchers have used hot lamps to simulate terrain to make slime mold paths along less desirable terrain less likely - and the result tends to be fairly representative of the real world solution (see this example using the tokyo rail network https://t.co/iYb9roozQt)
Tero et al 2010 used this to argue for the utility of biologically inspired mathematical models to help guide network construction! Ref: Tero et al 2010 Rules for Biologically Inspired Adaptive Network Design. Science 327:439-442 8/n (I ain't done).
RT @realsci_DE: Ja, Physarum polycephalum, ein gelber Schleimpilz kann sich durch Wachstum durch Labyrinthe fressen und benutzt dabei Algor…
Ja, Physarum polycephalum, ein gelber Schleimpilz kann sich durch Wachstum durch Labyrinthe fressen und benutzt dabei Algorithmen: Tero et al. 2010. Rules for Biologically Inspired Adaptive Network Design. Science 10.1126/science.1177894 https://t.co/WVHQqq8akJ