Sociotype and cultural evolution the acceleration of cultural change alongside industrial revolutions

The present work explores, from the vantage point of the sociotype, the dramatic acceleration of cultural change alongside the successive industrial revolutions, particularly in the ongoing information era. Developed within the genotype-phenotype-sociotype conceptual triad, the sociotype means the average social environment that is adaptively demanded by the “social brain” of each individual. For there is a regularity of social interaction, centered on social bonding and talking time, which has been developed as an adaptive trait, evolutionarily rooted, related to the substantial size increase of human groups. A quantitative approach to the sociotype basic traits shows fundamental competitive interrelationships taking place within an overall “attention economy.” Approaching these figures via the Planckian Distribution Equation, they can be connected with many other competitive processes taking place in the biological, economic, and cultural realms. Concerning culture, the cognitive limits of the individual, which we consider commensurate with the sociotype general limitations, impose by themselves a strict boundary on the cultural items effectively handled by each individual, fostering the overall competition and decay. Further, the emergence of differentiated generations with ample discrepancy in styles of life, social aspirations, and dominant technologies would represent a systematic bias in the competition and replacement of cultural items. Intriguingly, the cultural acceleration detected in modern societies alongside the successive industrial revolutions, with an ostensible climax in the ongoing fourth industrial revolution –the information era– might be itself a paradoxical consequence of the sociotype''s dynamic constancy

Bacterial computing: A form of natural computing and its applications

The capability to establish adaptive relationships with the environment is an essential characteristic of living cells. Both bacterial computing and bacterial intelligence are two general traits manifested along adaptive behaviors that respond to surrounding environmental conditions. These two traits have generated a variety of theoretical and applied approaches. Since the different systems of bacterial signaling and the different ways of genetic change are better known and more carefully explored, the whole adaptive possibilities of bacteria may be studied under new angles. For instance, there appear instances of molecular "learning" along the mechanisms of evolution. More in concrete, and looking specifically at the time dimension, the bacterial mechanisms of learning and evolution appear as two different and related mechanisms for adaptation to the environment; in somatic time the former and in evolutionary time the latter. In the present chapter it will be reviewed the possible application of both kinds of mechanisms to prokaryotic molecular computing schemes as well as to the solution of real world problems

Fundamental, Quantitative Traits of the “Sociotype”

In whatever domain of life, from cells to organisms to societies, communicative exchanges underlie the formation and maintenance, and decay, of the emerging collective structures. It can be clearly seen in the human social world. The different classes of social bonds in a complex society revolve around, and are intimately related with, the communicative relationships that every individual entertains—essentially via face-to-face conversation. In the present work we have investigated the fundamental metrics of both social bonds and communicative exchanges along the development of the “sociotype” construct. It is a new approach developed by the authors within the genotype-phenotype-sociotype conceptual triad. The sociotype means the relative constancy, or better the similar fabric, of the social world in which each individual life is developed. In order to ascertain the metrics of the fundamental quantitative traits inherent in the sociotype, a fieldwork involving a total of 1475 individuals (68.59% female, and 49.79 mean age, SD = 21.47) was carried out. The four relational realms of family, friends, work/study, and acquaintances were investigated. The overall results about conversation time (an average of 220 min/day), and about the number of social bonds (an average of 98), differ from previous assumptions, such as Dunbar's number or Killworth's number. Other results about gender, age, and use of social media and Internet contribute to highlight significant differences among the different social segments, and particularly the diminished “sociotype” of the elderly. Finally, it is curious that a non-Gaussian distribution has been obtained for the specific population allotment of these metrics, and intriguingly the Planckian distribution equation (PDE) appears to be a most cogent fit