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Talk of Today

Complex Systems and Information with Prof. Karoline Wiesner

Jul 21, 2021
Professor Karoline Wiesner, Professor of Complexity Science, discusses the field of complexity science, measuring complexity, information theory, entropy, zero entropy states, adaptability of complex systems, complexity science as a new way of doing science, measuring nonlinearity and complexity, complexity science and ethical reasoning.
01:36:15

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Quick takeaways

  • Measuring order is crucial in understanding complexity and can be done through assessing the predictability and structure of a system.
  • Measuring disorder provides insights into the complexity of individual components within a system and helps understand their behavior and interactions.

Deep dives

Measurements of Order

One of the key tools in understanding complexity is measuring order. Order refers to the predictability and structure of a system. By measuring the level of order present, we can assess the complexity of a system. This can be done using measures such as entropy, which quantifies the degree of disorder in a system. Another measure of order is the relationship of parts within a system, such as the nestedness or ratio of inputs to outputs. By measuring order, we gain insight into the organization and predictability of complex systems.

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