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Synergy arises from positive reciprocal complementary and synchronized feedback loops in a network of diverse actors that exchange information, energy and matter. Its effect is to increase in a non-linear way (greater than the sum of the parts) useful work (free energy) and order (decrease entropy) of the system After an extensive exploration of synergy and from the analysis of examples in many areas of science, including physics, biology and economy, I postulate that the common elements in all those examples are essential for the existence of synergy. These fundamental elements or roots of synergy are: 1. Open stable systems 2. Cohesion 3. Diversity and Assortation 4. Complementarity 5. Communication and Synchrony 6. Freedom and Self-Organization 7. Dynamics with decreasing entropy and growing free energy. This point may be considered essential in defining synergy, as it can be measured and thus, the proposal is falsifiable and might be refuted empirically. Here we explore ways to nurture synergy in different settings., Comment: Amazon Books 2021. Kindle B083HNQBKJ. ASIN: 1656164094 2021

Computer experiments that mirror the evolutionary dynamics of sexual and asexual organisms as they occur in nature, tested features proposed to explain the evolution of sexual recombination. Results show that this evolution is better described as a network of interactions between possible sexual forms, including diploidy, thelytoky, facultative sex, assortation, bisexuality, and division of labor between the sexes, rather than a simple transition from parthenogenesis to sexual recombination. Diploidy was shown to be fundamental for the evolution of sex; bisexual reproduction emerged only among anisogamic diploids with a synergistic division of reproductive labor; and facultative sex was more likely to evolve among haploids practicing assortative mating. Looking at the evolution of sex as a complex system through individual based simulations, explains better the diversity of sexual strategies known to exist in nature, compared to classical analytical models, Comment: Published in the Journal of Biological Physics

Termites, like many social insects, build nests of complex architecture. These constructions have been proposed to optimize different structural features. Here we describe the nest network of the termite Nasutitermes ephratae, which is among the largest nest-network reported for termites and show that it optimizes diverse parameters defining the network architecture. The network structure avoids multiple crossing of galleries and minimizes the overlap of foraging territories. Thus, these termites are able to minimize the number of galleries they build, while maximizing the foraging area available at the nest mounds. We present a simple computer algorithm that reproduces the basics characteristics of this termite nest network, showing that simple rules can produce complex architectural designs efficiently., Comment: This is an English version of the Spanish original as referenced below, Modelos y simulaciones biologicas: ecologia y evolucion. Harold P. de Vladar y Roberto Cipriani. (eds.) 2015

We compared entropy for texts written in natural languages (English, Spanish) and artificial languages (computer software) based on a simple expression for the entropy as a function of message length and specific word diversity. Code text written in artificial languages showed higher entropy than text of similar length expressed in natural languages. Spanish texts exhibit more symbolic diversity than English ones. Results showed that algorithms based on complexity measures differentiate artificial from natural languages, and that text analysis based on complexity measures allows the unveiling of important aspects of their nature. We propose specific expressions to examine entropy related aspects of tests and estimate the values of entropy, emergence, self-organization and complexity based on specific diversity and message length., Comment: 29 pages, 11 figures, 3 tables, 2 appendixes

We compare the likelihood of different socially relevant features to allow the evolutionary emergence and maintenance of cooperation in a generalized variant of the iterated Prisoners Dilemma game. Results show that the average costs/benefit balance of cooperation is the primary constraint for its establishment and maintenance. Behavior increasing inclusive fitness such as assortation, homophily, kin-selection and tagging of individuals, is second in importance. Networks characteristics were the least important in favoring the establishment and maintenance of cooperation, despite being the most popular in recent research on the subject. Results suggest that inclusive fitness theory with its expansions to include assortative and economic considerations is more general, powerful and relevant in analyzing social phenomena than kin selection theory with its emphasis on genetic relatedness. Merging economics with evolutionary theory will be necessary to reveal more about the nature of social dynamics., Comment: Submitted for publication