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Tim667
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- In the study of complex systems found in nature, what are the biggest unsolved problems?
What are the practical purposes of studying complex systems found in nature? And applying statistical methods to them etc.
What have you found in your research so far? What is your definition of Complex Systems?Tim667 said:Summary:: In the study of complex systems found in nature, what are the biggest unsolved problems?
What are the practical purposes of studying complex systems found in nature? And applying statistical methods to them etc.
"complex systems found in nature" is much too broad of a category to get a useful answer, IMO. As is "biggest unsolved problems".Tim667 said:Summary:: In the study of complex systems found in nature, what are the biggest unsolved problems?
What are the practical purposes of studying complex systems found in nature? And applying statistical methods to them etc.
Fair point. I'll be more specific next time. Within the study active matter, do you know at all what the biggest underlying problems here would be?DaveE said:"complex systems found in nature" is much too broad of a category to get a useful answer, IMO. As is "biggest unsolved problems".
But I'll toss out one for consideration: Weather prediction. I'll leave the practical purpose for you to figure out.
Specifically the way certain active matter systems self organise etcTim667 said:Within say, active matter, would you know what the biggest problems would be? As well as the practical purpose of studying such a subject
A complex system is a system that is made up of many interconnected and interdependent parts or components. These parts interact with each other in non-linear and unpredictable ways, making it difficult to understand and predict the behavior of the system as a whole.
The biggest challenges in studying complex systems include the non-linear and unpredictable nature of their behavior, the difficulty in identifying and understanding all the interconnected parts, and the lack of a universal framework for analyzing and modeling these systems.
Scientists use a variety of methods and techniques to study complex systems, including computer simulations, mathematical models, and empirical observations. They also often collaborate with experts from different disciplines to gain a more comprehensive understanding of the system.
Some examples of complex systems include ecosystems, weather patterns, the human brain, and social networks. These systems exhibit emergent properties, meaning that their behavior cannot be fully understood by looking at the individual components alone.
Studying complex systems can help us better understand and manage natural and human-made systems, from predicting and mitigating the effects of natural disasters to improving efficiency and decision-making in complex organizations. It can also lead to new technologies and innovations by uncovering underlying patterns and principles in complex systems.