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Spring School in Complexity Science
Pascal

Designing a Simulation Model

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
0:12 A Simulation Methodology
1:48 Start With A Hypothesis
3:24 Engage With A Literature
6:34 Replication Replication Replication
14:27 Start Simple, Stay Simple
16:20 Combine Maths and Simulation
18:25 Measure Something
20:33 Control For Free Parameters
21:49 Plan Your Combinatorics
23:55 Guard Against Over-Interpretation
27:03 Don't Get Sucked In
29:34 Visualize For Your Audience
33:42 Publish Your Code?

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Reviews and comments:

Comment1 Victor MacGill, December 19, 2007 at 8:32 a.m.:

Great, I don't know a lot about this area, so its good to get the background. Quality wasn't perfect, but I am guessing the probem is at my end


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