Algebraic theorem of selection by spatial sorting

Heritable variation in traits that enhance dispersal rates can accumulate at population margins by spatial sorting. This mechanism of selection differs from natural selection as evolutionary change can ensue even in the absence of differential lifetime reproductive success. Although evidence suggests that populations are rapidly evolving at margins due to global change pressures, such as invasions and range shifts, we lack a mathematical theory of spatial sorting to understand these evolutionary patterns. To this end, we present an algebraic theorem, or the sorting theorem, to elucidate the nature of selection at margins, which can, in turn, facilitate axiomatic development of spatial sorting theory. The role of the sorting theorem in guiding research in this context is analogous to that of Price's theorem in natural selection theory.

The Alignment of Natural and Sexual Selection

Sexual selection has the potential to decrease mean fitness in a population through an array of costs to nonsexual fitness. These costs may be offset when sexual selection favors individuals with high nonsexual fitness, causing the alignment of sexual and natural selection. We review the many laboratory experiments that have manipulated mating systems aimed at quantifying the net effects of sexual selection on mean fitness. These must be interpreted in light of population history and the diversity of ways manipulations have altered sexual interactions, sexual conflict, and sexual and natural selection. Theory and data suggest a net benefit is more likely when sexually concordant genetic variation is enhanced and that ecological context can mediate the relative importance of these different effects. Comparative studies have independently examined the consequences of sexual selection for population/species persistence. These provide little indication of a benefit, and interpreting these higher-level responses is challenging. Expected final online publication date for the Annual Review of Ecology, Evolution, and Systematics, Volume 52 is November 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

Coordination in theory extension: how Reichenbach can help us understand endogenization in evolutionary biology

Reichenbach’s early solution to the scientific problem of how abstract mathematical representations can successfully express real phenomena is rooted in his view of coordination. In this paper, I claim that a Reichenbach-inspired, ‘layered’ view of coordination provides us with an effective tool to systematically analyse some epistemic and conceptual intricacies resulting from a widespread theorising strategy in evolutionary biology, recently discussed by Okasha (2018) as ‘endogenization’. First, I argue that endogenization is a form of extension of natural selection theory that comprises three stages: quasi-axiomatisation, functional extension, and semantic extension. Then, I argue that the functional extension of one core principle of natural selection theory, namely, the principle of heritability, requires the semantic extension of the concept of inheritance. This is because the semantic extension of ‘inheritance’ is necessary to establish a novel form of coordination between the principle of heritability and the extended domain of phenomena that it is supposed to represent. Finally, I suggest that—despite the current lack of consensus on the right semantic extension of ‘inheritance’—we can fruitfully understand the reconceptualization of ‘inheritance’ provided by niche construction theorists as the result of a novel form of coordination.

Genetic Algorithm Based on Natural Selection Theory for Optimization Problems

The metaheuristic genetic algorithm (GA) is based on the natural selection process that falls under the umbrella category of evolutionary algorithms (EA). Genetic algorithms are typically utilized for generating high-quality solutions for search and optimization problems by depending on bio-oriented operators such as selection, crossover, and mutation. However, the GA still suffers from some downsides and needs to be improved so as to attain greater control of exploitation and exploration concerning creating a new population and randomness involvement happening in the population at the solution initialization. Furthermore, the mutation is imposed upon the new chromosomes and hence prevents the achievement of an optimal solution. Therefore, this study presents a new GA that is centered on the natural selection theory and it aims to improve the control of exploitation and exploration. The proposed algorithm is called genetic algorithm based on natural selection theory (GABONST). Two assessments of the GABONST are carried out via (i) application of fifteen renowned benchmark test functions and the comparison of the results with the conventional GA, enhanced ameliorated teaching learning-based optimization (EATLBO), Bat and Bee algorithms. (ii) Apply the GABONST in language identification (LID) through integrating the GABONST with extreme learning machine (ELM) and named (GABONST-ELM). The ELM is considered as one of the most useful learning models for carrying out classifications and regression analysis. The generation of results is carried out grounded upon the LID dataset, which is derived from eight separate languages. The GABONST algorithm has the capability of producing good quality solutions and it also has better control of the exploitation and exploration as compared to the conventional GA, EATLBO, Bat, and Bee algorithms in terms of the statistical assessment. Additionally, the obtained results indicate that (GABONST-ELM)-LID has an effective performance with accuracy reaching up to 99.38%.

Individuation of Developmental Systems

The author views concepts of individuality and associated individuation criteria, as used in the sciences, as scientific-theoretical concepts that can have different, even conflicting meanings in different theoretical contexts. Focusing on biological individuality in evolutionary contexts, he argues that despite the variety of usage, evolutionary contexts typically involve two senses of process-relativity depending on (1) empirical processes taken to be operating in the world that humans talk about, try to understand, predict, explain, or control; and (2) tracking processes that humans perform while investigating empirical phenomena. He illustrates the process-relativity of biological individuality concepts by contrasting two different kinds of attempt to articulate concepts of evolutionary individuality, one based in natural selection theory, the other in a theory of biological reproduction. Also characterized is how the tracking activities of scientific practices are entwined with the empirical processes on which both individuation and individuality depend.

Towards a general theory of evolution

Towards a general theory of evolution argues that defining natural selection in terms of “blind variation and selective retention”— as in A-life and replicator selection—ignores the fact that what varies is necessarily part of a far-from-equilibrium physical system that requires physical work to be produced. But natural selection theory is agnostic about the physical-chemical mechanisms underlying the maintenance, repair, and reproduction of organism structures and functions. A more general theory of evolution is proposed that includes an account of a type of process able to reconstitute the organization of the physical system capable of producing that process if damaged.

Fisicalismo Experimental: A solução de Claude Bernard para um problema da Filosofia da Biologia atual/Experimental Physicalism: Claude Bernard's solution for a problem of current Philosophy of Biology

A clausura causal do domínio físico pode ser aceita sem por isso negarmos que exista genuíno conhecimento causal, capaz de nos habilitar ao controle experimental dos fenômenos, que não esteja formulado em termos físicos, e que dificilmente possa ser formulado nesses termos. A Biologia dá bons exemplos disso: tal é o caso das explicações que articuladas na base da Teoria da Seleção Natural; mas também é o caso das explicações fisiológicas. Elas, conforme Claude Bernard soube mostrá-lo, podem fornecer efetivo e eficaz conhecimento causal, sem para isso ter que estar construídas em termos físico-químicos.Abstract: The causal closure of the physical domain can be accepted without denying that there exists genuine causal knowledge that can enable us to control experimental phenomena, but is not formulated in physical terms, and that can hardly be formulated in such terms. Biology gives good examples of it: such is the case of explanations articulated by Natural Selection Theory; but it is also the case of physiological explanations. These, as Claude Bernard could show, can provide effective and efficient causal knowledge without been constructed in physico -chemical terms. Keywords: Bernard, Claude; causal explanation; physicalism; reductionism; supervenience.

Vývin Miery Substantívnej Pádovej Homonymie Vo Svetle Kváziteleologických Princípov

The paper gives a basic characteristic of the methodology and results of quantitative research of the development of noun case homonymy in Slovak and the East Slavonic languages in the comparison with the late Proto-Slavic ground state. The methodology is based on findings in the field of cognitive psychology, according to which a higher degree of ambiguity is linked with a higher level of the interpretative complexity. The paper also includes a proposal of the interpretation of findings of this research, which reveal the operation of principles of positive and negative feedback in the development of the above-mentioned languages morphology. The interpretation is based on the basic assumptions of the natural selection theory, in accordance to which the author proposes to explain the identified trends in the quasi-teleological spirit. The text is inspired by Jakobson's understanding of markedness and language teleonomy.

Zero-Displacement-Error ITAE Standard Forms Based on Modified Particle Swarm Optimization

An optional method for calculating parameters of zero-displacement-error ITAE standard forms based on modified particle swarm algorithm is put forward. The modified PSO improved by random inertia weight and natural selection theory aim to overcome the disadvantage of algorithm such as easily trapping into local optimal solution and slow convergence in the late evolutionary. Experiments result shows that the modified algorithm can get a more accurate global optimal value and the performance of standard forms optimized by modified PSO is significantly improved.