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| memetics | |
|---|---|
| Name | Memetics |
| Caption | Conceptual diagram of cultural transmission |
| Field | Cultural evolution, evolutionary psychology, information theory |
| Established | 1976 |
| Notable people | Richard Dawkins, Susan Blackmore, Daniel Dennett, Nicholas Humphrey, Dawkins' critics, William H. Calvin, Robert Aunger, Leda Cosmides, John Tooby, E. O. Wilson, Steven Pinker, Donald T. Campbell, David Hull, Roger Scruton, Daniel C. Dennett, Aaron Lynch, Peter Godfrey-Smith, Paul Ormerod, Mark Ridley, Matt Ridley, Susan Blackmore (again) |
memetics Memetics is a theoretical framework proposing that cultural information units replicate, vary, and undergo selection analogous to genes. It draws on evolutionary metaphors to analyze how ideas, practices, and artifacts spread across human populations and through media. The approach has influenced scholars across Oxford University, University of Cambridge, Harvard University, Stanford University, and University of California, Berkeley and has intersected with research at institutions like the Max Planck Institute and Santa Fe Institute.
The framework treats discrete cultural entities—often called "memes" in popular discourse—as carriers of replicative fidelity, longevity, and fecundity comparable to biological replicators studied by Charles Darwin and later synthesized by Gregor Mendel and Alfred Russel Wallace. Proponents situate the idea within traditions of Richard Dawkins's writings and the broader lineage of thinkers including Donald T. Campbell and Daniel Dennett, arguing that transmission dynamics can illuminate phenomena studied at British Museum, Library of Congress, and in media institutions such as the BBC and The New York Times.
Origins trace to the 1970s and the publication of works by Richard Dawkins and subsequent popularizers like Susan Blackmore and Daniel Dennett. Early discourse engaged scholars from Princeton University, University of Oxford, and University College London and provoked response from figures associated with Royal Society circles and critics linked to Cambridge University Press publications. Conferences at venues such as the Royal Institution and the Santa Fe Institute fostered interdisciplinary debate, while journals like those of Nature and Science featured commentary and rebuttals from authors including E. O. Wilson and Steven Pinker.
The core theoretical claim adapts principles from Charles Darwin's theory of natural selection, integrating concepts from Claude Shannon's information theory and Georg von Békésy's signal transmission. Frameworks borrow analytical tools developed at Massachusetts Institute of Technology and California Institute of Technology and invoke population-level models reminiscent of those in Thomas Malthusian growth studies. Philosophers such as Daniel Dennett and Peter Godfrey-Smith debated the status of cultural replicators vis-à-vis biological entities, while sociologists influenced by Max Weber and Emile Durkheim contested reductionist readings promoted in memetic literature.
Formal models include differential-equation and agent-based simulations developed at Santa Fe Institute, MIT Media Lab, and Imperial College London that parallel models used in John Maynard Smith's evolutionary game theory and W. D. Hamilton's kin selection mathematics. Mechanisms invoked range from high-fidelity copying analogous to Francis Crick's descriptions of replication to low-fidelity reconstruction echoing cognitive frameworks advanced by Jerome Bruner and Noam Chomsky. Researchers at University of Pennsylvania and University of Michigan have explored network effects using graph-theoretic tools applied in studies at Bell Labs and Los Alamos National Laboratory.
Applied strands examine the spread of religious beliefs studied in contexts such as Vatican City and Mecca, political ideologies in case studies involving Revolution of 1848 or Russian Revolution, and commercial diffusion observed in companies like Apple Inc. and Procter & Gamble. Public-health adaptations relate to campaigns by World Health Organization and Centers for Disease Control and Prevention. Interdisciplinary research spans cognitive science at MIT, anthropology at Smithsonian Institution, marketing at INSEAD, and computer science in projects at Google and Facebook.
Critics from University of Chicago, Princeton University, and Columbia University argue that memetic frameworks commit category errors, confuse metaphor with mechanism, and neglect historical contingency emphasized by scholars such as Fernand Braudel and E. P. Thompson. Philosophers including Roger Scruton and scientists like E. O. Wilson have challenged the empirical sufficiency and normative implications, while debates in journals published by Cambridge University Press and Oxford University Press have highlighted methodological shortcomings and the risk of genetic analogism.
Empirical work has used experimental paradigms at Stanford University and Harvard University, large-scale data analysis from platforms like Twitter and YouTube, and ethnographic fieldwork conducted by researchers affiliated with University of California, Los Angeles and University of Oxford. Methodologies borrow from epidemiology practiced at Johns Hopkins Bloomberg School of Public Health and statistical toolkits from Rutherford Appleton Laboratory and IBM Research. Results are mixed: some studies report measurable diffusion patterns comparable to models used by Anderson & May in infectious disease research, whereas others emphasize context-dependent reconstruction underscored by fieldwork at Museum of Mankind.