Social Attractors & Chaos

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In this module we will be talking about attractors and the fundamental role they play within social dynamics, both with respect to self-organization and chaos, we firstly give an outline to the model of a state space, we talk about how systems typically only occupy a small subset of the overall space as they cycle through some set of states. We will go on to discuss bifurcations and see how the process of continuous doubling in bifurcations is a universal feature of systems as they move into a chaotic and complex regime consisting of multiple attractors and equilibria
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[@aidanokeeffe7928]

I happened to stumble on this channel. Instant fan. Subscribed.

[@rozyy6188]

Y'all are awesome with these videos!! You answer all my questions. Thank you so much. Very grateful for this!

[@chickenkorma3163]

Very interessting! I am currently doing systems theory in respect to modelling of biological systems. I would love to know how (or if at all) social behaviour is reduced to a level where you actuallly can apply mathematical and computational methods. In biology we are dealing with physical entities and its much more easy to define interactions than it is in sociology. So oviously in Sociology a much higher level of abstraction is required. Also when doing research you can hardly measure things like the spreading of a philosophy directly but you would need some proxy measurement. So basically i want to know what are the steps i need to take so i can do some calculus for social systems. Is there a more mathematical approach in your books?

[@Vas-73]

But, do all social attractors look like menstruation pads? "Period doubling", you say?

[@КоляПодвигов]

Hi! This is a fantastic video and I plan on watching the entire course. Could you tell me what program you used to make these explanatory animations?

[@stevemadison7895]

Thanks!

[@johnnafunkhouser5999]

Really neat!

[@juanmanuelmunoz5645]

I am thinking on a career in complexity science, but one teacher recently told me there were not many open fundamental problems left, neither in systems theory nor in game theory or in network theory. I suspect he was biased, but I'm not so sure. Could you assist me on this issue?

[@SystemsInnovationNetwork]

Considering the fact that there is still no agreement upon what a complex system it would be difficult to agree with your teacher. However, it is true that many of the easier more analytical areas are pretty much solved for, the content of this video being a good example, the math of chaos theory is largely understood. Likewise, a lot of game theory and network theory is well understood(though not non-zero sum games). There is no real consensus on the overall workings of complexity theory or systems theory and that would imply to me that we don't really understand them, I think there is a lot left to discover but it is the more difficult fundamental stuff, i.e. putting it all together in an effective way.

[@juanmanuelmunoz5645]

Thank you very much for your repy and insight. I am particularly interested in the more fundamental topics, so this is very good news to me. Thank you again for your amazingly clear videos and your effort to put together most topics in this particularly diverse science.

[@aSonnetToScience]

Juan Manuel Muñoz hi Juan! have you considered looking in to data science as a possible career path? complexity theory and statistics could go hand in hand quite perfectly.

[@michaelellis2480]

Applied data science and development management, environmental management… all use complexity science to address real world problems.

[@tewyube1234]

3:14 In a linear attractor, the balls would settle at the bottom of the bump like that. In a chaotic attractor, the balls would circle round infinitely in unpredictable trajectories This isnt chaos

[@josuebartley7272]

They aren’t describing a chaotic system at 3:14

[@NicholasEymann]

chaos is bae

[@armanke13]

Watching at 1.25x

[@tchedoumenou1165]

great video but that social shit in the middle made me lose it.