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#ComplexSystem
Posts tagged #ComplexSystem on Bluesky
English Image Description
Image description
The image presents a symbolic visualization of the Singularity Number (o) using an aviation metaphor.
A commercial aircraft accelerates along a runway at sunset, approaching a marked threshold labeled
"V1". In aviation, V1 represents the critical decision speed beyond which a takeoff can no longer be safely aborted.
In this visual metaphor, the runway represents the trajectory of a complex adaptive system under increasing optimization pressure. The dashed yellow line labeled V1 symbolizes the Singularity Number (o)-the critical threshold at which the balance between structural compression and adaptive capacity is irreversibly lost.
Once this threshold is crossed, the system can no longer return to its previous stable state. Collapse is no longer caused by external shocks alone but becomes a mathematically inevitable outcome of the system's internal dynamics.

The image illustrates the central concept of the Compression-Resonance-Tension Index (CRTI) framework: complex systems often fail not because of randomness or chaos, but because excessive optimization gradually eliminates adaptive reserves until a point of no return is reached.🖖

English Image Description Image description The image presents a symbolic visualization of the Singularity Number (o) using an aviation metaphor. A commercial aircraft accelerates along a runway at sunset, approaching a marked threshold labeled "V1". In aviation, V1 represents the critical decision speed beyond which a takeoff can no longer be safely aborted. In this visual metaphor, the runway represents the trajectory of a complex adaptive system under increasing optimization pressure. The dashed yellow line labeled V1 symbolizes the Singularity Number (o)-the critical threshold at which the balance between structural compression and adaptive capacity is irreversibly lost. Once this threshold is crossed, the system can no longer return to its previous stable state. Collapse is no longer caused by external shocks alone but becomes a mathematically inevitable outcome of the system's internal dynamics. The image illustrates the central concept of the Compression-Resonance-Tension Index (CRTI) framework: complex systems often fail not because of randomness or chaos, but because excessive optimization gradually eliminates adaptive reserves until a point of no return is reached.🖖

English Image Description
Image description
The image presents a symbolic visualization of the Singularity Number (o) using an aviation metaphor.
A commercial aircraft accelerates along a runway at sunset, approaching a marked threshold labeled
"V1". In aviation, V1 represents the critical decision speed beyond which a takeoff can no longer be safely aborted.
In this visual metaphor, the runway represents the trajectory of a complex adaptive system under increasing optimization pressure. The dashed yellow line labeled V1 symbolizes the Singularity Number (o)-the critical threshold at which the balance between structural compression and adaptive capacity is irreversibly lost.
Once this threshold is crossed, the system can no longer return to its previous stable state. Collapse is no longer caused by external shocks alone but becomes a mathematically inevitable outcome of the system's internal dynamics.🖖

English Image Description Image description The image presents a symbolic visualization of the Singularity Number (o) using an aviation metaphor. A commercial aircraft accelerates along a runway at sunset, approaching a marked threshold labeled "V1". In aviation, V1 represents the critical decision speed beyond which a takeoff can no longer be safely aborted. In this visual metaphor, the runway represents the trajectory of a complex adaptive system under increasing optimization pressure. The dashed yellow line labeled V1 symbolizes the Singularity Number (o)-the critical threshold at which the balance between structural compression and adaptive capacity is irreversibly lost. Once this threshold is crossed, the system can no longer return to its previous stable state. Collapse is no longer caused by external shocks alone but becomes a mathematically inevitable outcome of the system's internal dynamics.🖖

The image illustrates the central concept of the Compression-Resonance-Tension Index (CRTI) framework: complex systems often fail not because of randomness or chaos, but because excessive optimization gradually eliminates adaptive reserves until a point of no return is reached.🖖

The image illustrates the central concept of the Compression-Resonance-Tension Index (CRTI) framework: complex systems often fail not because of randomness or chaos, but because excessive optimization gradually eliminates adaptive reserves until a point of no return is reached.🖖

Every #complexSystem has a #V1 moment …

like an aircraft on the runway, a point where turning back is no longer possible.

The #SingularityNumber (σ) measures that point of no return, when excessive optimization makes collapse mathematically inevitable.

doi.org/10.5281/zeno... 🖖

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Delighted to present our work at @iitmadras.bsky.social Open House 2026, CoE Critical Transitions in Complex Systems. We showcased research on complex systems and live-demonstrated thermoacoustic instability. Great enthusiasm and insightful questions from visitors
#IITM #OpenHouse2026 #ComplexSystem

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Assume gains are private, but losses are shared. What happens if this rule governs a system of interacting open subsystems exchanging resources with the environment? The system will have a sharp, switch-like state transition. Check our new pre-print arxiv.org/abs/2512.22839
#statmech #ComplexSystem

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Signed Networks: theory, methods, and applications Signed networks provide a principled framework for representing systems in which interactions are not merely present or absent but qualitatively distinct: friendly or antagonistic, supportive or confl...

Another review article worth bookmarking: Signed Networks: theory, methods, and applications."
arxiv.org/abs/2511.17247
Perfect for my Systems Biology course.

#sysbio #complexsystem #graph #network #compbio #mathbio

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In biology, we’re still busy naming T cells and debating EMT or autophagy — a bit like arguing over bird names while the real wonder lies in understanding how they fly.

#complexsystem #PhysicsOfLife #sysbio

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My physicist friends love universality — until the system starts voting, reproducing, or trading stocks 🤪
#complexsystem #physicsoflife #physicsoflivingmatter #systemsbiology

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If I want to teach undergraduate students about driven non-equilibrium systems, which two toy models should I choose? The mathematics must be intuitive, and the simulations must be easy. What do you suggest? #statmech #physics #complexsystem #systemsbiology

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Engineering Basal Cognition: Minimal Genetic Circuits for Habituation, Sensitization, and Massed–Spaced Learning Cognition is often associated with complex brains, yet many forms of learning—such as habituation, sensitization, and even spacing effects—have been observed in single cells and aneural organisms. The...

Does a cell have a 'mind' - say a proto-mind or basal cognition? Although it was once a fringe idea, recent experimental and mathematical works are accumulating in its support. Here is an interesting recent work: www.biorxiv.org/content/10.1... #complexsystem #systemsbiology #sysbio

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Before physics* found symmetry, biology was already breaking it.

PS: *that will be physicists 😀

#physicsoflife
#mathbio
#complexsystem
#dynamicalsystem

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A conjecture that's eating me: Before brains learned to think, cells were already making Bayesian inferences.

#protomind #basalcognition #information #complexsystem
#physicsoflife

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Our results with @pik-potsdam.bsky.social, uncover how phase space recurrence condenses prior to oscillatory instability, revealing power-law scaling to detect tipping points in complex systems, got published in @aip-publishing.bsky.social
doi.org/10.1063/5.0267157
#ComplexSystem #Tipping #IITMadras

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We are hiring!
We have an opening for a project associate at the Centre of Excellence for studying critical transitions in complex systems at IIT Madras. To apply, send your CV to sujithslabrecruitment@gmail.com
#Freshershiring #deeplearning #Projectassociate #IITMadras #ComplexSystem #Climate

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US Electric Grid Faces Multiple Threats to Reliability as Complexity Mounts The US electric grid faces increasing complexity and multiple threats to reliability, including fuel supply, market design, regulations, and permitting processes. A lack of unified responsibility across Congress, FERC, and States contributes to inaction and inconsistent policies, further exacerbated by state-level actions impacting interstate grid reliability. Recent warnings from NERC and the National Academies of Science highlight the fragility of the grid. Solutions are prioritized based on reliability value and expediency. Highest priority actions include expediting generator winterization, ensuring natural gas fuel assurance (requiring Congressional action), and overhauling state permitting processes to reduce interstate reliability impacts. Medium priority actions involve unleashing flexible demand, finishing generator interconnection reforms, safeguarding against premature generation retirements, improving wholesale market design, and streamlining federal permitting. Lower priority solutions focus on improving state resource planning, optimizing the existing transmission system, and improving conventional transmission expansion, which face complex political and logistical hurdles. Key actors and responsibilities are distributed: Congress addresses statutory changes like fuel assurance mandates and federal permitting reform; FERC handles wholesale market design and interconnection reforms; States reform permitting processes and engage with Regional Transmission Organizations; NERC monitors grid reliability; and Regional Transmission Organizations manage grid operations. Underlying concerns include political challenges, agency discretion regarding reliability decisions, balancing short-term costs with long-term resilience, navigating state versus federal authority, and ensuring market signals accurately reflect reliability costs and benefits. A summary table categorizes solutions by priority, key actors, importance, and implementation difficulty, encompassing expedited winterization, natural gas assurance, state permitting reforms, flexible demand, interconnection reforms, generation retirement safeguards, market design improvements, and federal permitting streamlining, alongside lower-priority initiatives for state resource planning and transmission optimization.

US Electric Grid Faces Multiple Threats to Reliability as Complexity Mounts #MISO #GridReliability #USElectricity #InfrastructureRisk #EnergyPolicy #ComplexSystem

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Yesterday, I had the opportunity to meet for a lunch Dave Snowden during… | Serge Stinckwich Yesterday, I had the opportunity to meet for a lunch Dave Snowden during his stay in Hong Kong and Macau. I would like to thank José Ferreira Pinto from City University of Macau and Les Hales from CIO...

Yesterday, I had the opportunity to meet Dave Snowden, the creator of the Cynefin framework which helps executives and leaders take action and navigate complex, uncertain situations by first sensing the context in which they need to act. #complexsystem #sensemaking

www.linkedin.com/posts/serges...

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Terrific speaker line-up covering a broad spectrum of biological questions addressed through a common language made of math, statistics and computer science
#ai #computerscience #math #physics #complexsystem #evolution #machinelearning #statistics #popgen #genomics #proteomics Please re-post !

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#immunity #ComplexSystem

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5. #Complexsystems have memory, not located at a specific place, but distributed throughout the system. Any #complexsystem thus has a history, and the history is of cardinal importance to the behavior of the system.

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#Chronicpain is an emergent property of a #complexsystem. This paper explores how #psychedelics disrupt rigid patterns and foster #neuroplasticity. Pairing these with #touchtherapies could transform stuck pain states. Let’s dive in! pubmed.ncbi.nlm.nih.gov/38706873/ @remaptherapeutics.bsky.social

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Predicting Tipping Points in Complex Systems A machine-learning framework predicts when a complex system, such as an ecosystem or a power grid, will undergo a critical transition.

I bet Texas would like this. A #MachineLearning framework predicts when a #ComplexSystem, such as an #Ecosystem or a #PowerGrid, will undergo a critical transition. #physics physics.aps.org/articles/v17...

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.@verokiermer introducing @PLOS @DataSeerAI #openscience indicator work to determine uptake of OS behaviors. Progress and uptake of these practices over time is very slow. Promoting OS is a #complexsystem problem. Publishing practices that encourage OS are only one part.

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