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Spring School in Complexity Science
Pascal

Complexity: Scale and Connectivity

author: Seth Bullock, University of Southampton

Description

Continuing advances in information and communications technology (ICT) are increasing the scale and connectivity of today's engineered systems. Managing the resultant complexity is becoming the central challenge for UK industry and government: from software, to cities and even stock exchanges. Across the UK, a wide range of internationally leading research groups are addressing this challenge. In many cases they draw inspiration from biology, which provides innumerable examples of systems that cope with complexity. From cells to ecosystems, biology achieves scalability, adaptability, self-repair, and robustness, often by exploiting "emergent" system-level behaviours. Achieving equivalent success in engineered systems is the root problem that we face.
In the first of our short courses, we introduce the core concepts of complexity in the context of both natural and engineered systems, and explore the ways in which new computational systems, models, and simulations are taking part in complexity science through a series of lectures and workshop activities.

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Slides
0:00 Introduction to Complexity Science
0:15 Conceptual Landscape
0:38 Defining Complexity
1:50 Definitions
3:16 Motivations
5:24 Beyond Intuition
6:15 Problems
8:05 Emergence
8:57 Emergent = Mysterious?
10:38 Four Kinds of Emergence
15:09 Non-linearity
16:17 Naturalising Emergence
19:44 Issues
20:07 Plurality
22:41 Subjectivity
26:28 Complicated vs. Complex
29:38 Complications
34:21 Predictability
37:48 Explicability not Predictability
39:11 Example
41:55 Finally…

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