A slime mold can solve what millions of steps of tabula-rasa deep reinforcement learning can't. Reid, C. R., Latty, T., Dussutour, A., & Beekman, M. (2012). Slime mold uses an externalized spatial “memory” to navigate in complex environments. Proceedings of the National Academy https://t.co/ZRdSr0h5Sw
Slime mold uses an externalized spatial "memory" to navigate in complex environments.
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Dec 2020 – Sep 2025Where it's discussed
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AI synopsis
What people are saying
The discussions emphasize the remarkable problem-solving skills of slime molds, citing examples like navigating mazes and comparing the externalized memory to artificial intelligence methods. The tone is curious and appreciative, highlighting the research's importance and innovative nature, which signals high relevance and transformative potential.
Most posts strongly affirm the significance of the research, emphasizing the mold’s problem-solving abilities and externalized memory, indicating full agreement with the study’s implications.
Posts demonstrate high curiosity, referencing related papers and broader implications, reflecting strong engagement with the topic.
Comments include detailed examples, such as comparing slime mold's navigation to deep reinforcement learning and mentioning external cognition, showing deep analytical discussion.
Discussions highlight the revolutionary potential of understanding non-neuronal memory systems, suggesting significant influence on fields like robotics, AI, and cognitive science.
Abstract in brief
- The slime mold Physarum polycephalum, which has no brain, can develop an external form of spatial memory by avoiding areas it has previously explored, helping it navigate complex environments.
- This externalized memory allows the slime mold to solve the Ushaped trap problem, a test requiring it to bypass barriers and reach a goal, demonstrating advanced navigational skills without gradient-following.
- The study suggests that such external spatial memory in slime molds supports the idea that simple, non-neuronal organisms use external memory systems as a precursor to the internal memory seen in more complex animals.
Top posts
Most liked on X and BlueskyOs dejo por aquí unos papers sobre este fascinante moho que en realidad es una ameba #NingunHiloSinSuPaper https://t.co/2ZrCMukXg5 https://t.co/YxKr74e3LI https://t.co/OyrVdtdKKd https://t.co/WFitTz5Ryj https://t.co/GtIiICxsEV
El Slime Mold (fungi) tiene extended cognition https://t.co/s79GaaJTzZ https://t.co/mNMqyUUZGM
RT @_rockt: A slime mold can solve what millions of steps of tabula-rasa deep reinforcement learning can't. Reid, C. R., Latty, T., Dussut…
RT @_rockt: A slime mold can solve what millions of steps of tabula-rasa deep reinforcement learning can't. Reid, C. R., Latty, T., Dussut…
RT @_rockt: A slime mold can solve what millions of steps of tabula-rasa deep reinforcement learning can't. Reid, C. R., Latty, T., Dussut…
All mentions
Discovering Habituation in Smart Slime Moulds
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…
Habituation Insights: Learning in Slime Molds
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…
Fascinating Learning Abilities of Physarum Polycephalum in Space Exploration
Ni animal ni végétal ni champignon le Blob fait preuve de capacités étonnantes telles que l'apprentissage. This video explores five surprising facts about Physarum polycephalum, a unicellular organism capable of memory…
Mind Beyond Matter- Part 1: Minds Without Brains
RT @_rockt: A slime mold can solve what millions of steps of tabula-rasa deep reinforcement learning can't. Reid, C. R., Latty, T., Dussut…
RT @_rockt: A slime mold can solve what millions of steps of tabula-rasa deep reinforcement learning can't. Reid, C. R., Latty, T., Dussut…
RT @_rockt: A slime mold can solve what millions of steps of tabula-rasa deep reinforcement learning can't. Reid, C. R., Latty, T., Dussut…
RT @_rockt: A slime mold can solve what millions of steps of tabula-rasa deep reinforcement learning can't. Reid, C. R., Latty, T., Dussut…
RT @_rockt: A slime mold can solve what millions of steps of tabula-rasa deep reinforcement learning can't. Reid, C. R., Latty, T., Dussut…
RT @_rockt: A slime mold can solve what millions of steps of tabula-rasa deep reinforcement learning can't. Reid, C. R., Latty, T., Dussut…
A slime mold can solve what millions of steps of tabula-rasa deep reinforcement learning can't. Reid, C. R., Latty, T., Dussutour, A., & Beekman, M. (2012). Slime mold uses an externalized spatial “memory” to navigate in complex environments. Proceedings of the National Academy https://t.co/ZRdSr0h5Sw
El Slime Mold (fungi) tiene extended cognition https://t.co/s79GaaJTzZ https://t.co/mNMqyUUZGM
RT @wildbehav: Os dejo por aquí unos papers sobre este fascinante moho que en realidad es una ameba #NingunHiloSinSuPaper https://t.co/2Z…
RT @wildbehav: Os dejo por aquí unos papers sobre este fascinante moho que en realidad es una ameba #NingunHiloSinSuPaper https://t.co/2Z…
Os dejo por aquí unos papers sobre este fascinante moho que en realidad es una ameba #NingunHiloSinSuPaper https://t.co/2ZrCMukXg5 https://t.co/YxKr74e3LI https://t.co/OyrVdtdKKd https://t.co/WFitTz5Ryj https://t.co/GtIiICxsEV
https://www.youtube.com/watch?v=k_GTIL7AECQ
Came across this great paper while doing some out-of-the-box research while coding a ConceptNet literal to metaphor translator. You don't necessarily need internal intelligence to come up with smart solutions. https://t.co/VII0bCE99g
# How Can a Slime Mold Solve a Maze? The Physiology Course is Finding Out, 2017 https://t.co/nz5ZCknyTL _________________________ #Slime mold uses an externalized spatial “memory” to navigate in complex environments, 2012 https://t.co/Vy3i5iilqT
Slime mold uses an externalized spatial “memory” to navigate in complex environments https://t.co/eg2wzWrPUi I use the placement of objects as externalized memory, not just for spatial memory, but also for task memory.