Study of how complex behaviour can be generated by deterministic and finite rules and parameters
Interaction between a few simple rules and parameters can produce endless, seemingly unpredictable complexity.
Generative science is an area of research that explores the natural world and its complex behaviours. It explores ways "to generate apparently unanticipated and infinite behaviour based on deterministic and finite rules and parameters reproducing or resembling the behavior of natural and social phenomena".[1] By modelling such interactions, it can suggest that properties exist in the system that had not been noticed in the real world situation.[2] An example field of study is how unintended consequences arise in social processes.
^Gordana Dodig-Crnkovic; Raffaela Giovagnoli (2013), "Computing Nature – A Network of Networks of Concurrent Information Processes", in Gordana Dodig-Crnkovic; Raffaela Giovagnoli (eds.), Computing nature: Turing centenary perspective, Springer, p. 7, ISBN978-3-642-37225-4
^Ning Nan; Erik W. Johnston; Judith S. Olson (2008), "Unintended consequences of collocation: using agent-based modeling to untangle effects of communication delay and in-group favor", Computational and Mathematical Organization Theory, 14 (2): 57–83, doi:10.1007/s10588-008-9024-4, S2CID397177
^Farre, G. L. (1997). "The Energetic Structure of Observation: A Philosophical Disquisition". American Behavioral Scientist. 40 (6): 717–728. doi:10.1177/0002764297040006004. S2CID144764570.