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Our Assessment:
B+ : solid and clear introduction to the concept of memes See our review for fuller assessment.
Review Consensus: - Return to top of the page - The complete review's Review:
The relatively new concept of memes is by now fairly well-established.
Since being coined by Richard Dawkins, in his book The Selfish Gene (1976), -- first as mimeme and then, for convenience sake, reduced to a monosyllable --, the term has gained sufficient currency to be included in the Oxford English Dictionary.
Memetics is also a burgeoning area of study.
Susan Blackmore's book, The Meme Machine, offers a solid, broad, and very ambitious introduction to the subject.
Dawkins identifies three criteria for a successful replicator: fidelity, fecundity, and longevity. In other words, a good replicator must be copied accurately, many copies must be made, and the copies must last a long time.Genes are very successful replicators. As it turns out, so are memes. Blackmore uses these basic definitions -- memes are what is imitated, memes are replicators (and consequently subject to a process of natural selection) -- and considers what all this might mean. With memes basically having a life of their own -- and constantly evolving, in a Darwinian struggle -- Blackmore's conclusions reach far: she uses memes to explain why language developed, why we spend so much time idly chattering, sexual behaviour, altruistic behaviour, and beliefs in the ridiculous and the absurd (including alien abductions and religion). In all, Blackmore uses memes to explain most everything about modern society and modern humans (including the notion of self in light of memes). Memes, it seems, are quite a grand theory of almost everything. Blackmore's explanations are clear and well-presented (and often very entertaining). Certainly there is a great deal of plausibility to the interpretation she offers. There are also numerous difficulties with memetic theory, and Blackmore does a good job of considering the main ones (though she does not deal with them entirely satisfactorily). Among the larger problems with memes is in defining just what they are. Blackmore uses the example of Beethoven: just how much of a specific symphony is a meme -- the famous opening bars, or a bigger chunk -- or perhaps the whole symphony ? Even if the meme "units" could be determined there are still definitional problems. There is also little understanding of how memes replicate themselves and what determines whether a meme will be successful or not. Of particular interest is also the predictive value of the theory -- which is, unfortunately, basically still nonexistent. If we know what makes a meme we should be able to artificially construct one, to propagate it, and even to predict how and where it will be transmitted, and how widely it will spread. We should also be able to have a better understanding of the memes already out there, and what we can expect from them -- and at least anticipate the next Pokemon or hula hoop fads. Blackmore offers some reasonable explanations for the past success of memes, and possibilities that arise with the new technologies of our age, but overall there is still very little of predictive value on offer. Memes are tantalizing notions (and the memetic theory is itself a fairly successful meme), but it remains to be seen whether memetics will become a truly fruitful area of study. Blackmore suggests how much can be explained by memes, but the evidence is not entirely convincing: it could be as she says, but there are also numerous other adequate explanations for the examples she offers. Blackmore makes a good case, and her book is both thoughtful and entertaining. She writes well and clearly, and The Meme Machine is certainly a worthwhile read. - Return to top of the page - The Meme Machine:
- Return to top of the page - Susan Blackmore was born in 1951. She is a Senior Lecturer in Psychology at the University of the West of England, Bristol. - Return to top of the page -
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