Abstract
Human knowledge is a phenomenon whose roots extend from the cultural, through the neural and the biological and finally all the way down into the Precambrian “primordial soup.” The present paper reports an attempt at understanding this Greater System of Knowledge (GSK) as a hierarchical nested set of selection processes acting concurrently on several different scales of time and space. To this end, a general selection theory extending mainly from the work of Hull and Campbell is introduced. The perhaps most drastic change from previous similar theories is that replication is revealed as a composite function consisting of what is referred to as memory and synthesis. This move is argued to drastically improve the fit between theory and human-related knowledge systems. The introduced theory is then used to interpret the subsystems of the GSK and their interrelations. This is done to the end of demonstrating some of the new perspectives offered by this view.
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Notes
What is it to be prescient? It is important to briefly discuss this question since it has such a strong bearing on the explanatory values of selection theories. The answer depends on what we mean by the question; in this case on what we are willing to qualify as being prescient. If we mean that man can know what the future holds in an absolute sense, then the scientific answer must be “no.” But, then again, in that sense it seems that she does not know anything at all regardless of whether the proposed object of knowledge lies in the future, past or present. If we instead mean that she is capable of making statements about the future that are sharply biased toward correspondence with future states, then the answer must be “yes.” Prescience, in this sense, is nevertheless a remarkable ability: it is decidedly something more than an ordinary fit between system and environment; it is more than just inductive achievements gained through past BVSR dynamics. It is, however, by all means an empirical rather than a metaphysical problem.
The wide naturalist notion of knowledge used by Campbell is employed here (Campbell 1960).
In Dennett’s terminology, cranes are ok but skyhooks are not (Dennett 1995).
Campbell characterized knowledge as a “fit between system and environment” (Campbell 1974). Although I agree with what Campbell means (on my reading at least), this characterization is still fraught with problems and one needs to be clear on what is intended. The terms “fit” and “fitness” have particular theoretical uses in evolutionary biology that hinge on the soundness of assuming environments to be sufficiently stable over time. For example, we may ask what happens in a population if a trait appears that has such and such fitness. Now, regardless of the constancy of this trait, its reproductive potential of course depends on its interactions with this environment. Hence, fitness may change at any time if the environment to which “it fits” changes. This happens seldom enough (or in a regular enough fashion; e.g. as an arms race between members of two species) in biology that fitness remains theoretically useful. In cultural systems, however, one must seriously wonder if it does not happen frequently enough—almost as a rule—that many of the traditional theoretical roles of fitness disappear. The usage here of “instances of fit,” “fitness” and other related concepts must be viewed with these complications (which need to be worked out) in mind.
Excluding some of the closer extant relatives of jawless fish, e.g. hagfish and lampreys.
If there is something to win autonomy from, that is. Biological knowledge systems, since they arose from physicochemical systems that were not knowledge system themselves, have no parent knowledge process.
There is of course also an existential dimension to the particular case of culture and social life since the sense in which we are our biological selves in the first place is not straightforward, see (Sartre 1993)
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Acknowledgments
I wish to thank in particular David Lane, Camille Roth and other researchers and students at the University of Modena and Reggio Emilia, Italy, for enlightening discussions on these topics. I also want to thank Martin Nilsson Jacobi, Kristian Lindgren and several others in the center for complex system at Chalmers, Göteborg, Sweden. Peter Nylén has also provided his valuable insights and given me the opportunity to discuss these question in depth. Finally, I wish to thank Kim Sterelny and a number of anonymous referees for their efforts with this manuscript. The work was funded in part by the University of Modena and Reggio Emilia and in part by Chalmers. Also, the European Center for Living Technology, University of Venice Ca’Foscari, Italy, has kindly provided space and other resources.
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Andersson, C. Sophisticated selectionism as a general theory of knowledge. Biol Philos 23, 229–242 (2008). https://doi.org/10.1007/s10539-007-9085-7
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DOI: https://doi.org/10.1007/s10539-007-9085-7