Articles tagged with Complex Adaptive Systems
Researchers at FAU's CA-AI are developing machine learning technologies to enable autonomous systems to sense, learn, and act in coordination. The project aims to overcome the challenge of individual smart systems failing to collaborate effectively as part of a network.
Researchers at FAU have developed a smarter AI framework that can manage complex systems with unequal levels of authority and adapt to imperfect information. The framework, based on reinforcement learning and game theory, reduces unnecessary computation while maintaining system stability and optimal strategy outcomes.
Researchers developed an AI-based music creation support system called Amuse, which converts user inputs into harmonic structures to support composition. The system has high potential as a creative companion for musicians and is centered on the creator's initiative.
The paper proposes a new safety concept based on system-of-systems (SoS) perspective to address challenges in civil aviation transportation system (CATS) safety management. The SoS safety concept includes three core elements: safety capability, safety logic, and safety architecture.
A team from Osaka Metropolitan University has developed a crystal patterning method that controls the position and orientation of photochromic crystals, known as diarylethenes. This breakthrough allows for the creation of convex structures with precise control over crystal shape and size.
A new method called Annotatability helps identify mismatches in cell annotations and better characterizes biological data structures. This approach enables more precise downstream analysis of biological signals, capturing cellular communities associated with target signals.
In a Weizmann Institute experiment, groups of ants demonstrated superior problem-solving skills compared to human groups and individuals. Humans struggled to improve performance when working together, relying on individual calculation rather than collective strategy.
A hybrid method links bottom-up behaviors and top-down causation in a single theory to capture interactions between small-scale behaviors and system-level properties in disturbed systems. The approach has been tested in examples such as post-fire forest ecosystems and pandemics, predicting ecological patterns and system dynamics.
Researchers developed DeepLens design method based on curriculum learning to optimize complex lens designs. The approach considers key parameters like resolution, aperture, and field of view, providing optimal solutions without human intervention.
A new study by Utah State University explores the potential of collaborative modeling to improve reservoir operations and adapt to variable inflow and declining storage. The research involved 26 Colorado River Basin managers and experts who used Google Sheets during video calls to discuss consuming, banking, and trading water.
Researchers at UVA School of Engineering and Applied Science developed artificial compound eyes that mimic praying mantis vision, offering improved depth perception and reduced power consumption by over 400 times compared to traditional systems.
Researchers at the University of Sydney have developed a physical neural network that can learn and remember data in real-time, using nanowire networks to mimic brain-inspired learning and memory functions. The network achieved high accuracy in benchmark image recognition tasks and demonstrated its capacity for online learning.
Researchers at the University of Sydney and Max Planck Institute have developed new methods to describe synchronicity in complex systems. Their findings suggest that convergent walks on a network structure can lead to poor quality synchronisation.
A new study from Ritsumeikan University reveals the essential role of relational values in people's readiness to participate in and support sustainable social-ecological system (SES) management. The research shows that integrating relational values into SES management plans can promote pro-SES behavior among people.
Researchers developed a school simulation model that shows how the virus spreads in different settings and calculates the effectiveness of measures against its spread. The model reveals that elementary and lower secondary schools can keep reproduction rates below 1 with classroom ventilation, wearing masks, and class size reduction.
A team of scientists developed an AI-based model to predict personal thermal comfort based on spatial parameters, achieving exceptional accuracy. The study highlights the importance of incorporating architectural features in models to reduce energy consumption.
Researchers applied a physics method to Balinese rice irrigation practices, finding that a balance between water stress and pest stress is crucial for equilibrium. The traditional method, which involves synchronized flooding, can help maintain social harmony and prevent chaos in water schedules.
The study found that advances in iron metallurgy, horse riding, and agricultural productivity played a significant role in the development of military machines. Mega-empires emerged as societies supporting tens of millions of inhabitants and covering vast territories.
Arizona State University has secured a four-year, $30.7 million defense contract to develop an immunosignaturing diagnostic technology for rapid detection of infectious diseases. The technology aims to detect exposure before symptoms occur, allowing for timely treatment and prevention of further spread.