Ex Machina: Coevolving Machines & the Origins of the Social Universe
John H. Miller recently published “Ex Machina: Coevolving Machines & the Origins of the Social Universe,” in which he combines ideas from the study of games, the foundations of computation, and Darwin’s theory of evolution to introduce a methodology for studying systems of adaptive, interacting, choice-making agents, and uses this approach to identify conditions sufficient for the emergence of social behavior. In his words, he explores how evolving automata can go from asocial to social behavior and finds that systems of simple adaptive agents can be rapidly transformed into a rich social world.
John H. Miller is an economist from the University of Colorado. He received his Ph.D. in economics from the University of Michigan in 1988, where he worked with Ted Bergstrom and Hal Varian. He joined the Santa Fe Institute as its first postdoctoral fellow. He has been associated with the Institute ever since. He joined Carnegie Mellon University as an assistant professor in the Department of Social and Decision Sciences, later becoming a professor in 2000.
You can find out more about this book by visiting the following website:
https://www.sfipress.org/books/ex-machina
Image: SFI Press
