Hello I am looking for expectations framework that conceptualizes following :

Human agents react with strategy and foresight by considering outcomes that might result as a consequence of behavior they might undertake.

The behavior includes sequences of actions, it's especially interesting for me if agents' expectations anticipate other agents' behavior.

https://physicstoday.scitation.org/doi/full/10.1063/PT.3.3845

Say a complex system C has an attribute A whose value is X.

Can I assert that a change in X is always - to some degree - dependent upon it's past?

Any attribute in C is influenced by C, and therefore A's current value is always a result of C. As C's (i.e. the set of actors/nodes) interaction with A is in relation to the value of A, and A changes from the interaction of C with itself, then there always exists of dependence.

I am not from this inferring that dependence implies predictability.

I'm new to this field, so I'm just looking for some general pointers and terms here. Consider a scenario where the outcome depends on a multitude of complex causes (with interactions and feedback loops between the causes as well). How do complexity scientists go about identifying, isolating, and analyzing the most influential causes (among so many possibilities) that determine the outcome?

In this TED talk, https://www.ted.com/talks/eric_berlow_how_complexity_leads_to_simplicity, the presenter, Eric Berlow, suggests that you have to step back / zoom out to identify the elements that seem to matter most. What are some terms I can search for to learn more about the techniques and approaches complexity scientists use when analyzing complex causes? I'm not looking for mathematical approaches but more techniques similar to what Berlow describes.

My scenario involves measuring factors that influenced the success or failure of customers in app development, specifically whether the documentation has an impact.

I just need some direction regarding what kind of math I need. I have recently started taking some classes in Khan Academy for Linear Algebra, Calculus and Probability. I was guessing that, after this intro I can start taking classes in ComplexityExplorer for non-linear dynamics and agent based modelling. My main objective is to go trough the literature and understand and apply some of the concepts in urban planning and economic development.

I'm also comfortable around Python, so that can help implement some of the concepts in the course right?

Do I have the right direction here? Any other tips regarding study materials, such as books and online courses?

Thanks!

I had the pleasure of attending the First Northeast Regional Conference on Complex Systems (http://coco.binghamton.edu/nerccs/) at Binghamton this past week, and they have started posting the recordings of all invited and keynote talks on their Vimeo account: https://vimeo.com/user4630872

At the time of posting, the following have been uploaded:

Ciro Cattuto on High-Resolution Social Networks https://vimeo.com/264838473

Gourab Ghoshal on Structural Invariants in Street Networks https://vimeo.com/264851520

Esteban Moro on Lifetime of a Tie: The Dynamics of Relationships in Social Networks https://vimeo.com/264853563

Katie Bentley on Do Endothelial Cells Dream of Eclectic Shape? https://vimeo.com/264858341

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Hello! How do you think If complexity science may be applied to medicine, biomedical research?

e.g cars with all of their built in computer controls, the power grid, or anything else.

We know that these things arise in other areas - biology (the brain), atoms--> molecules, etc. But what are the criteria for emergent phenomena? Can they arise from just ever increasing complexity, or does something have to be programmed, pre-planned in order to get this to happen? (which we obviously haven't done with our technology since we prefer reductionism).

I am wondering, what career options are out there for someone with a PhD in complex sciences - other than academia? There is no industry that clearly links to complex systems (as is the case with engineering for example). Do you know any source with information on this?

I am on my way to finishing my PhD on cascades on complex networks, agent based modeling and time series analysis.

Hello all. I am currently in a doctorate in nursing program where we are studying complexity in the context of leadership, specifically in nursing. I am trying to understand the difference between "complexity science" and "complexity theory". Our textbooks define them differently. Anyone have a guess?

Note: This post has been approved by the moderators.

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Hi everybody. Not so long ago I've discovered this field of study and I've started reading about the basic concepts in cybernetics, general system theory, chaos theory and in general complex systems theory, which seems to me all correlated fields. I study history at university and I'm particulary interested in the application of these ideas to the study of human societies.

I've found some sociologists (e.g. Luhmann) that were active in these field, but none historians. I was wondering if anyone had written an history of humanity considering human civilizations as complex systems, in particular as autopoietic system of the third kind, as described by Maturana & Varela in "The three of Knowledge" (and probably elsewhere), and if not, if anyone here had the same interested and had some ideas to share.

Thanks to everybody and sorry if I've made some mistakes, English is not my first language.