a mathematical standpoint heterarchy is the more general category and subsumes hierarchy as a special case (von Goldammer et al., 2003). While heterarchy may be modeled mathematically, it need not rely on mathematical or spatial representat…Byrne, D. (1998). Complexity theory and the social sciences: An introduction. London, England: Routledge.
Chapman, R. (2003). Archaeologies of complexity. London, England: Routledge.
Crumley, C. L. (1979). Three locational models: An epis…
Manuel De Landa
philosopher · 2 mentions across 1 reading
In this course
Manuel De Landa is a theorist of complexity, emergence, and non-linear systems who challenges hierarchical thinking through concepts like heterarchy—organizational forms that don't rely on top-down control or strict ranking. His work appears in the readings as a touchstone for understanding how AI systems and social structures alike can self-organize through distributed, non-hierarchical relations rather than centralized command. By situating heterarchy as a mathematical and conceptual framework applicable across domains, De Landa enables the course to think beyond traditional organizational models when analyzing both machine learning architectures and collective human systems.
Mentioned in 1 reading
Appears alongside
People mentioned in the same passages — sorted by co-occurrence weight.
David Byrne 2David Graeber 2Carole L. Crumley 1Christine Ward Gailey 1Christopher S. Beekman 1Fred Valdez Jr. 1Friedrich Engels 1Jerrold E. Levy 1Michael B. Schiffer 1Nicholas Dunning 1Robert Chapman 1Robert M. Ehrenreich 1Thomas C. Patterson 1Vernon Scarborough 1William S. Baden 1Agrawal 1Angelbeck 1Elinor Ostrom 1Gunderson 1Harvey 1James C. Scott 1Kontopolous 1Nicos Mouzelis 1von Goldammer 1