This research note challenges the idea that Random Somatic Mutations are entirely random, highlighting their non-equiprobable nature and their influence on evolution, involution, or indeterminacy. It recalls the Neutrosophic Theory of Evolution, extending Darwin’s theory, and emphasizes the importance of distinguishing between different senses of ‘random mutation’ in evolutionary theory.

The extent to which normal (nonmalignant) cells of the body can evolve through mutation and selection during the lifetime of the organism has been a major unresolved issue in evolutionary and developmental studies. On the one hand, stable multicellular individuality seems to depend on genetic homogeneity and suppression of evolutionary conflicts at the cellular level. On the other hand, the example of clonal selection of lymphocytes indicates that certain forms of somatic mutation and selection are concordant with the organism-level (...) fitness. Recent DNA sequencing and tissue physiology studies suggest that in addition to adaptive immune cells also neurons, epithelial cells, epidermal cells, hematopoietic stem cells and functional cells in solid bodily organs are subject to evolutionary forces during the lifetime of an organism. Here we refer to these recent studies and suggest that the expanding list of somatically evolving cells modifies idealized views of biological individuals as radically different from collectives. (shrink)

Cognitive bias (Stroop interference and implicit memory bias) for masked and unmasked threat words (illness words and negative emotion words) was investigated for its associations with emotion (anxiety, anger/aggression, and positive affect) and somatic complaints in a randomly selected community sample of 138 individuals. Because measures of cognitive bias are inherently bipolar, the data were tested for both linear and curvilinear trends. Cross-sectional analysis showed that the associations between somatic anxiety and Stroop interference for unmasked threat words were (...) better described in terms of curvilinear than linear models, and that degree of somatic complaints was associated with Stroop facilitation for masked threat words. Longitudinal analysis showed that Stroop interference for masked threat words predicted lack of positive affect during an ensuing eight weeks daily recording period. Implicit memory bias was found to be negatively associated with measures of anger/aggression,both in the cross-sectionaland longitudinal analyses. We suggest that: (a) cognitive bias should be treated as a bipolar construct in future research; (b) the phenomenon of Stroop facilitation for threat words deserves further exploration; and (c) more research should address the question about the relationship between cognitive bias and other emotions than anxiety (e.g., positive affect and anger). (shrink)

Cancer research is experiencing ‘paradigm instability’, since there are two rival theories of carcinogenesis which confront themselves, namely the somatic mutation theory and the tissue organization field theory. Despite this theoretical uncertainty, a huge quantity of data is available thanks to the improvement of genome sequencing techniques. Some authors think that the development of new statistical tools will be able to overcome the lack of a shared theoretical perspective on cancer by amalgamating as many data as possible. We think (...) instead that a deeper understanding of cancer can be achieved by means of more theoretical work, rather than by merely accumulating more data. To support our thesis, we introduce the analytic view of theory development, which rests on the concept of plausibility, and make clear in what sense plausibility and probability are distinct concepts. Then, the concept of plausibility is used to point out the ineliminable role played by the epistemic subject in the development of statistical tools and in the process of theory assessment. We then move to address a central issue in cancer research, namely the relevance of computational tools developed by bioinformaticists to detect driver mutations in the debate between the two main rival theories of carcinogenesis. Finally, we briefly extend our considerations on the role that plausibility plays in evidence amalgamation from cancer research to the more general issue of the divergences between frequentists and Bayesians in the philosophy of medicine and statistics. We argue that taking into account plausibility-based considerations can lead to clarify some epistemological shortcomings that afflict both these perspectives. (shrink)

Current research on the origin of DNA and RNA, viruses, and mobile genetic elements prompts a re-evaluation of the origin and nature of genetic material as the driving force behind evolutionary novelty. While scholars used to think that novel features resulted from random genetic mutations of an individual’s specific genome, today we recognize the important role that acquired viruses and mobile genetic elements have played in introducing evolutionary novelty within the genomes of species. Viral infections and subviral RNAs (...) can enter the host genome and persist as genetic regulatory networks. Persistent viral infections are also important to understand the split between great apes and humans. Nearly all mammals and nonhuman primates rely on olfaction, i.e., chemoreception as the basis of the sense of smell for social recognition, group membership, and the coordination of organized social life. Humans, however, evolved other means to establish social bonding, because several infection waves by endogenous retroviruses caused a loss of odor receptors in human ancestors. The human independence from olfaction for social recognition was in turn one driver of the rather abrupt human transition to dependence on visual information, gesture production, and facial recognition that are at the roots of language-based communication. (shrink)

When philosophers of physics explore the nature of chance, they usually look to quantum mechanics. When philosophers of biology explore the nature of chance, they usually look to microevolutionary phenomena, such as mutation or random drift. What has been largely overlooked is the role of chance in macroevolution. The stochastic models of paleobiology employ conceptions of chance that are similar to those at the microevolutionary level, yet different from the conceptions of chance often associated with quantum mechanics and Laplacean (...) determinism. (shrink)

Why All Mathematical Equations Have an Equal Sign in the Middle (Including Deviations and Applications Across All Fields of Mathematics) -/- Mathematics is a universal tool used to express relationships, patterns, and structures in both abstract and real-world settings. At the heart of this tool is the equal sign, which symbolizes balance and equivalence between two ideas. The equal sign ensures that what is expressed on one side of an equation corresponds directly to the other. However, in practical applications, perfect (...) balance is often disrupted, leading to deviations that reflect real-world imperfections. These deviations, whether positive or negative, help make mathematical models more applicable to reality. This essay explores the importance of the equal sign, the concept of deviations, and how they apply across various fields of mathematics. -/- The Equal Sign: A Symbol of Balance -/- The equal sign serves as a bridge, showing that two expressions, ideas, or quantities are equivalent. It represents the foundational principle of balance in mathematics, allowing relationships to be defined and analyzed logically. For example, when describing physical, economic, or biological systems, the equal sign provides clarity, ensuring that all components of the system interact in harmony. -/- In theory, the equal sign represents perfect balance. However, real-world scenarios rarely follow such exactitude. External factors, approximations, or errors often create deviations from this balance. These deviations allow us to account for variability and adjust our models accordingly, making mathematics a flexible tool for solving practical problems. -/- Deviations from Equality -/- While the equal sign represents the ideal state of balance, deviations account for the imperfections and complexities of reality. -/- 1. Positive Deviations: These occur when one side of a relationship exceeds the other, reflecting surplus or unexpected growth. For example, this might happen when actual outcomes surpass predictions, such as higher-than-expected profits in business. -/- 2. Negative Deviations: These arise when one side falls short, representing a deficit or shortfall. For instance, in weather modeling, negative deviations might occur when observed rainfall is less than forecasted. -/- These deviations are crucial for refining mathematical models, especially in fields where variability is unavoidable, such as physics, economics, and biology. -/- Applications in Various Fields of Mathematics -/- 1. Arithmetic and Number Theory -/- The equal sign ensures balance when performing basic operations, such as addition, subtraction, or multiplication. However, in practical applications, rounding errors or approximations often introduce deviations. For example, when adding measurements with decimals, the result might be slightly adjusted due to rounding. -/- In number theory, the equal sign represents equivalence in concepts like divisibility or patterns among numbers. Deviations can highlight remainders or shifts in these relationships, as seen in practical uses like cryptography. -/- 2. Algebra -/- Algebra explores relationships between variables and constants, often solving for unknowns. The equal sign is central to defining and solving these relationships. However, real-world algebraic problems often involve constraints or uncertainties, such as production limits in business. Deviations in algebra can account for these irregularities, making it a critical tool for optimization and resource allocation. -/- 3. Geometry -/- In geometry, the equal sign helps define relationships like the congruence of shapes, the proportions of angles, or the equivalence of areas. Deviations arise in practical applications, such as construction or design, where imperfect measurements lead to slight discrepancies. For instance, a building’s dimensions might not align perfectly with theoretical calculations due to material constraints or human error. -/- 4. Trigonometry -/- Trigonometry studies relationships in triangles and periodic phenomena, such as waves. The equal sign ensures that relationships between angles and sides are consistent. However, in fields like engineering or physics, deviations occur due to inaccuracies in measurements or environmental factors. These deviations are essential for improving real-world applications, such as signal processing or sound wave analysis. -/- 5. Calculus -/- Calculus deals with changes and accumulations. The equal sign helps express how quantities evolve or grow over time, such as the speed of an object or the amount of water collected in a tank. -/- In differential calculus, deviations reflect changes in rates caused by external influences, like friction affecting the motion of an object. -/- In integral calculus, deviations occur when real-world accumulations, such as population growth or fuel consumption, differ from idealized predictions. These adjustments make calculus more effective for analyzing and predicting real-world behavior. -/- 6. Linear Algebra -/- Linear algebra examines relationships in systems involving multiple variables, such as equations describing supply and demand. The equal sign is used to establish balance within these systems. Deviations, such as noise or inaccuracies in data, play a significant role in real-world applications like machine learning, where adjustments improve predictive accuracy. -/- 7. Probability and Statistics -/- Probability and statistics analyze uncertainty and variation. The equal sign represents theoretical models, such as the average outcome of a random event. However, deviations from these models, often referred to as errors or residuals, highlight differences between predictions and observed results. These deviations are essential for refining models, whether in weather forecasting, market analysis, or medical research. -/- 8. Real-World Modeling Across Disciplines -/- Physics: In physics, the equal sign links relationships like force and motion. Deviations arise when real-world conditions, such as air resistance, alter the ideal balance predicted by equations. -/- Economics: The concept of equilibrium in supply and demand relies on the equal sign, but market fluctuations often introduce deviations, leading to surpluses or shortages. -/- Biology: Growth models in biology, such as the spread of a population or a virus, use the equal sign to describe ideal patterns. Deviations account for environmental factors, resource limitations, or mutations. -/- Conclusion -/- The equal sign is the foundation of all mathematical equations, symbolizing balance and equivalence. It ensures that relationships are clearly defined, making mathematical reasoning precise and reliable. However, deviations play an equally important role, accounting for imperfections and variability in the real world. Across all fields of mathematics—arithmetic, algebra, geometry, calculus, and beyond—the interplay between balance and deviation enhances our ability to model, analyze, and solve complex problems. Together, the equal sign and deviations allow mathematics to bridge the gap between idealized theory and the complexities of real-world phenomena. -/- . (shrink)

Although quantum mechanics can accurately predict the probability distribution of outcomes in an ensemble of identical systems, it cannot predict the result of an individual system. All the local and global hidden variable theories attempting to explain individual behavior have been proved invalid by experiments (violation of Bell’s inequality) and theory. As an alternative, Schrodinger and others have hypothesized existence of free will in every particle which causes randomness in individual results. However, these free will theories have failed to quantitatively (...) explain the quantum mechanical results. In this paper, we take the clue from quantum biology to get the explanation of quantum mechanical distribution. Recently it was reported that mutations (which are quantum processes) in DNA of E. coli bacteria instead of being random were biased in a direction such that the chance of survival of the bacteria is increased. Extrapolating it, we assume that all the particles including inanimate fundamental particles have a will and that is biased to satisfy the collective goals of the ensemble. Using this postulate, we mathematically derive the correct spin probability distribution without using quantum mechanical formalism (operators and Born’s rule) and exactly reproduce the quantum mechanical spin correlation in entangled pairs. Using our concept, we also mathematically derive the form of quantum mechanical wave function of free particle which is conventionally a postulate of quantum mechanics. Thus, we prove that the origin of quantum mechanical results lies in the will (or consciousness) of the objects biased by the collective goal of ensemble or universe. This biasing by the group on individuals can be called as “coherence” which directly represents the extent of life present in the ensemble. So, we can say that life originates out of establishment of coherence in a group of inanimate particles. (shrink)

Conventional methods of genetic engineering and more recent genome editing techniques focus on identifying genetic target sequences for manipulation. This is a result of historical concept of the gene which was also the main assumption of the ENCODE project designed to identify all functional elements in the human genome sequence. However, the theoretical core concept changed dramatically. The old concept of genetic sequences which can be assembled and manipulated like molecular bricks has problems in explaining the natural genome-editing competences of (...) viruses and RNA consortia that are able to insert or delete, combine and recombine genetic sequences more precisely than random-like into cellular host organisms according to adaptational needs or even generate sequences de novo. Increasing knowledge about natural genome editing questions the traditional narrative of mutations (error replications) as essential for generating genetic diversity and genetic content arrangements in biological systems. This may have far-reaching consequences for our understanding of artificial genome editing. (shrink)

The archaeological record is very limited and its analysis has been contentious. Hence, molecular biologists have shifted their attention to molecular dating techniques. Recently on April 2013, the prestigious Cell Press Journal Current Biology published an article (Fu et al. 2013) entitled “A Revised Timescale for Human Evolution Based on Ancient Mitochondrial Genomes”. This paper has twenty authors and they are researchers from the world’s top institutes like Max Planck Institute, Harvard, etc. Respected authors of this paper have emphatically accepted (...) that the fossil record is inadequate and unreliable. These statements clearly substantiate that now biologists are agreeing that fossil records do not provide any significant evidence at all for conventional evolution theory. Despite the well-recorded fact of the continual grand propaganda of Darwinism based on fossil evidence for more than 150 years, in recent times biologists are surprisingly coming up with such statements, based on their confidence that evolution can be explained purely by the genealogical/genomic record provided by modern molecular biology. Still many respected journals (for example the article in Nature, Retallack, 2013) continue to publish articles on fossil evidence to support Darwinian evolution. These incoherently diverse claims prove that Darwinists are struggling with unscientific ideological approaches to explain biodiversity. Darwinian evolutionary theory is not only the basis of modern biology, but also acts as the guiding principle of science and intellectual reasoning for modern civilization. Hence, a scientific understanding of the breakdown of the Darwinian theory of objective evolution is very important for overcoming the traditional scientific temper of mechanistic intellectualism that characterizes this ideology. In my article “21st Century Biology Refutes Darwinian Abiology” (published in two parts in November and December 2012 issues of The Harmonizer: www.mahaprabhu.net/satsanga/harmonizer) it was noted that several recent findings challenge the credibility that random mutations and natural selection can provide a valid basis for justifying the naturalistic evolution of species. The present article summarizes the problems associated with the fossil record and dating techniques, and its implication on the neo-Darwinian mechanistic misconception of biological life as mere molecular chemistry or abiology. An alternative approach based on the Vedāntic view for explaining biodiversity in the light of 21st century biology is also discussed in the end of the article. (shrink)

When it comes to the notion of creativity, both R. Dawkins and D. Dennett argue that creativity is a matter of random mutation, in the same way that genes randomly mutate. Neither Dennett nor Dawkins see anything else in the mimetic theory of creativity than a process of Darwinian evolution. However, this complete reliance upon the extension of evolution for understanding creativity needs to be supplemented by combining it with other ideas such as those of "schema theory," because creativity (...) always occurs within a structured context and is not simply a matter of random mutation of ideas. Schema theory comes largely from the works of E.H Gombrich, who argued that "schemas" play a crucial role in how it is that we are able to be creative. He defines schemas as structure and traditions in society that help to convey the meaning of our creative efforts. Just as semantics needs syntax within language in order to formulate and convey meaning, so by analogy memes need schemas for the creation and expression of new ideas. Rather than being the antithesis of creativity, existing forms of expression and traditions are important for the creation of new ideas. This needs to be factored into any theory of creativity in order to account for the effect of the social context on creative endeavours in addition to a Darwinian account of memes. The unconscious processes at work within the brain that are involved in the generation of ideas and other creative products can be understood using the notion of a "generator", as originally conceived by D. Dennett. This notion goes beyond mere concrete Skinnerian behavioural trial and error. Within this generator, there appear to be at work processes such as those of bisociation and association, as discussed by A. Koestler, as well as processes such as the role of language, memory, generate-and-test and intentionality that must be acknowledged in addition to the syntactic operations of schemas and the replicating contents of memes. The operation of all of these ingredients within the generator, when understood together, can be seen as responsible for our ability to be creative. (shrink)

The concepts of the origin of the genetic code and the definitions of life changed dramatically after the RNA world hypothesis. Main narratives in molecular biology and genetics such as the “central dogma,” “one gene one protein” and “non-coding DNA is junk” were falsified meanwhile. RNA moved from the transition intermediate molecule into centre stage. Additionally the abundance of empirical data concerning nonrandom genetic change operators such as the variety of mobile genetic elements, persistent viruses and defectives do not fit (...) with the dominant narrative of error replication events (mutations) as being the main driving forces creating genetic novelty and diversity. The reductionistic and mechanistic views on physico-chemical properties of the genetic code are no longer convincing as appropriate descriptions of the abundance of non-random genetic content operators which are active in natural genetic engineering and natural genome editing. (shrink)

Darwinian evolutionary theory has two key terms, variations and biological selection, which finally lead to survival of the fittest variant. With the rise of molecular genetics, variations were explained as results of error replications out of the genetic master templates. For more than half a century, it has been accepted that new genetic information is mostly derived from random error-based events. But the error replication narrative has problems explaining the sudden emergence of new species, new phenotypic traits, and genome (...) innovations as a sudden single event. Meanwhile, it is recognized that errors cannot explain the evolution of genetic information, genetic novelty, and complexity. Now, empirical evidence establishes the crucial role of non-random genetic content editors, such as viruses, diversity generating retroelements, and other RNA networks, to produce new genetic information, complex regulatory control, inheritance vectors, genetic identity, immunity, new sequence space, evolution of complex organisms, and evolutionary transitions. (shrink)

The neo-Darwinian theory of genetic random mutation and Natural Selection, does nothing to explain speciation. Thus, what has been called "natural selection" has come under much scrutiny and critique in recent times. The problem is that natural selection requires the existence of a stable array of species from which selection can be made. So natural selection does not perform the speciation, only the selection after speciation has occurred. The activity of creating new species must therefore lie in the (...) class='Hi'>random mutations of the genome. But this raises the problem that such mutations are generally always fatal to the organism, plus a whole host of other problems that modern advances in molecular biology have revealed about the detailed mechanisms occurring in DNA replication processes, including such things as intrinsic error correcting mechanisms during DNA transcription. Thus a theory of how species arise (speciation) does not currently exist in biology. The Vedantic/Bhagavat paradigm rejects the objectivist theory of evolution as not only wrong but an impediment to the actual scientific comprehension of Nature. The Vedantic conception of Life is a fully differentiated/determinate one that displays its variety in and as an dynamic organic whole. The crucial element of interdependence that is missing in modern theories of insular organism life is fully embraced in what we may call the Post-Darwinian, post-reductionist, post-modern conception of Life the Vedantic/Bhagavat conception offers. (shrink)

Psychoanalytic self-psychology as outlined by such depth psychologists as Jung, Fordham, Winnicott and Kohut provide a framework for conceptualizing a relationship of complementarity between psychic and immune defence as well as loss of bodily and self integration in disease. Physicist Erwin Schrödinger’s thesis that the so-called “arrow of time” does not necessarily deal a mortal blow to its creator is reminiscent of the concept of timeless dimensions of the unconscious mind and the Self in Analytical Psychology, manifest for instance, in (...) dream content and archetypal symbols. These notions are not only consistent with the concepts of timelessness and meaningful coincidence (synchronicity) in psychoanalysis. They are also implicitly spiritual with intimations of a numinous dimension of the evolutionary process in which humanity participates. This includes the idea that an evolving God becomes conscious through and is completed by humankind in a process (Incarnational) theology which regards the numinous as both immanent and transcendent. And concepts of mind which transcend the individual in a transpersonal sense. The treatment of the psychophysical problem by depth psychologist Carl Jung and physicist Wolfgang Pauli with their notion of the unconscious archetypes as timeless, cosmic ordering and regulating principles creating a bridge between mind and matter in a relationship of complementarity is compatible with such a perspective on the numinous which might in turn be useful for contemporary theology and spirituality. (shrink)

We consider two ways one might use algorithmic randomness to characterize a probabilistic law. The first is a generative chance* law. Such laws involve a nonstandard notion of chance. The second is a probabilistic* constraining law. Such laws impose relative frequency and randomness constraints that every physically possible world must satisfy. While each notion has virtues, we argue that the latter has advantages over the former. It supports a unified governing account of non-Humean laws and provides independently motivated solutions to (...) issues in the Humean best-system account. On both notions, we have a much tighter connection between probabilistic laws and their corresponding sets of possible worlds. Certain histories permitted by traditional probabilistic laws are ruled out as physically impossible. As a result, such laws avoid one variety of empirical underdetermination, but the approach reveals other varieties of underdetermination that are typically overlooked. (shrink)

This article offers an explanation of perhaps Wittgenstein’s strangest and least intuitive thesis – the semantical mutation thesis – according to which one can never answer a mathematical conjecture because the new proof alters the very meanings of the terms involved in the original question. Instead of basing our justification on the distinction between mere calculation and proofs of isolated propositions, characteristic of Wittgenstein’s intermediary period, we generalize it to include conjectures involving effective procedures as well.

An understanding of the factors behind the evolution of multicellularity is one of today’s frontiers in evolutionary biology. This is because multicellular organisms are made of one subset of cells with the capacity to transmit genes to the next generation and another subset responsible for maintaining the functionality of the organism, but incapable of transmitting genes to the next generation. The question arises: why do somatic cells sacrifice their lives for the sake of germline cells? How is germ/soma separation (...) maintained? One conventional answer refers to inclusive fitness theory, according to which somatic cells sacrifice themselves altruistically, because in so doing they enhance the transmission of their genes by virtue of their genetic relatedness to germline cells. In the present article we will argue that this explanation ignores the key role of policing mechanisms in maintaining the germ/soma divide. Based on the pervasiveness of the latter, we argue that the role of altruistic mechanisms in the evolution of multicellularity is limited and that our understanding of this evolution must be enriched through the consideration of coercion mechanisms. (shrink)

Background— Although one of the main characteristics of psychopaths is a deficit in emotion, it is unknown whether they show a fundamental impairment in appropriately recognizing their own body sensations during an emotion-inducing task. Method— Skin conductance and heart rate were recorded in 138 males during a social stressor together with subjective reports of body sensations. Psychopathic traits were assessed using the Psychopathy Checklist – Revised (PCL-R) 2nd edition (Hare, 2003). Results— Nonpsychopathic controls who reported higher body sensations showed higher (...) heart rate reactivity, but this verbal-autonomic consistency was not found in psychopathic individuals. This mind-body disconnection is particularly associated with the interpersonal-affective factor of psychopathy. Conclusions— Findings are the first to document this body sensations– autonomic mismatch in psychopaths, and suggest that somatic aphasia the inaccurate identification and recognition of one‘s own somatic states may partly underlie the interpersonal-affective features of psychopaths. (shrink)

Love, S. (2007). Using somatic awareness as a guide for making healthy life choices. Somatics Magazine- Journal Of The Mind/Body Arts and Sciences, Volume XV, Number 2, pages 40-43. (Silver Love is same person as author Martha C. Love).

Are there any truly ontologically random events? This paper argues that randomness is an unavoidably epistemic concept and therefore ascription of ontological randomness to any particular event or series of events can never be justified.

In this paper we consider conditional random quantities (c.r.q.’s) in the setting of coherence. Based on betting scheme, a c.r.q. X|H is not looked at as a restriction but, in a more extended way, as \({XH + \mathbb{P}(X|H)H^c}\) ; in particular (the indicator of) a conditional event E|H is looked at as EH + P(E|H)H c . This extended notion of c.r.q. allows algebraic developments among c.r.q.’s even if the conditioning events are different; then, for instance, we can give (...) a meaning to the sum X|H + Y|K and we can define the iterated c.r.q. (X|H)|K. We analyze the conjunction of two conditional events, introduced by the authors in a recent work, in the setting of coherence. We show that the conjoined conditional is a conditional random quantity, which may be a conditional event when there are logical dependencies. Moreover, we introduce the negation of the conjunction and by applying De Morgan’s Law we obtain the disjoined conditional. Finally, we give the lower and upper bounds for the conjunction and disjunction of two conditional events, by showing that the usual probabilistic properties continue to hold. (shrink)

Mystical religious experiences typically purport to engage with the transcendent and often claim to involve encounters with spiritual entities or a detachment from the material world. Daoism diverges from this paradigm. This paper examines Daoist mystical experiences of bodily transformations and explores their epistemological implications. Specifically, we defend the justificatory power of Daoist somatic experiences against the disanalogy objection. The disanalogy objection posits that mystical experiences, in contrast to sense perceptions, are not socially verifiable and thereby lack prima facie (...) epistemic value. We argue that some Daoist mystical bodily states, being essentially spatiotemporal, are exempt from this challenge. This leads to a broader understanding of mysticism and offers a partial resolution to the disanalogy objection. (shrink)

The deep influence of affectivity on learning is now widely acknowledged (Keefer et al., 2018; Sánchez-Álvarez et al., 2021). For instance, it has been shown that affect influences key learning-relevant processes, such as motivation, perception, behavior, and critical thinking (Izard, 2002; Mayer & Salovey, 1997). Evidence also shows that emotion and mood strongly influence attention, which in turn drives learning and memory (Elbertson et al., 2010; Elias et al., 1997). Intersubjective phenomena, such as the degree of affection and respect between (...) child and teacher, also affect the child’s learning processes, academic outcomes, and brain development (Kusché & Greenberg, 2006; Ryan & Patrick, 2001). However, the relevant literature is not paying attention to increasing evidence showing that affective phenomena are rooted in interoceptive and homeostatic self- and co-regulatory processes within and between people’s living bodies (Barrett, 2017; Carvalho & Damasio, 2021; Craig, 2015, 2018; Fotopoulou et al., 2022; Fotopoulou & Tsakiris, 2017; Seth & Friston, 2016). In this theoretical chapter, we explore this connection and its importance for learning. We argue that affective experience plays a fundamental role in learning, and that affective experience is rooted in the homeostatic self-/co-regulation of living bodies. Therefore, the homeostatic self-/co-regulation of living bodies plays a fundamental role in learning. In other words, there is an intra- and interpersonal somatic dimension of learning that demands explicit consideration in educational contexts. In this way, we aim to contribute to an understanding of learning and education that moves away from an individualistic, brain-centered information-processing conception toward one centered on sentient, interdependent living bodies. (shrink)

Several recent criticisms of the somatic marker hypothesis (SMH) identify multiple ambiguities in the way it has been formulated by its chief proponents. Here we provide evidence that this hypothesis has also been interpreted in various different ways by the scientific community. Our diagnosis of this problem is that SMH lacks an adequate computational-level account of practical decision making. Such an account is necessary for drawing meaningful links between neurological- and psychological-level data. The paper concludes by providing a simple, (...) five-step model of practical decision making. Recasting SMH in terms of this model generates more precise and empirically tractable computational-level hypotheses about the various ways that somatic markers might influence practical decisions. (shrink)

The concept of randomness has been unjustly neglected in recent philosophical literature, and when philosophers have thought about it, they have usually acquiesced in views about the concept that are fundamentally flawed. After indicating the ways in which these accounts are flawed, I propose that randomness is to be understood as a special case of the epistemic concept of the unpredictability of a process. This proposal arguably captures the intuitive desiderata for the concept of randomness; at least it should suggest (...) that the commonly accepted accounts cannot be the whole story and more philosophical attention needs to be paid. 1. Randomness in science1.1Random systems1.2Random behaviour1.3Random sampling1.4Caprice, arbitrariness and noise2. Concepts of randomness2.1Von Mises/church/martin-löf randomness2.2KCS-randomness3. Randomness is unpredictability: preliminaries3.1Process and product randomness3.2Randomness is indeterminism?4. Predictability4.1Epistemic constraints on prediction4.2Computational constraints on prediction4.3Pragmatic constraints on prediction4.4Prediction defined5. Unpredictability6. Randomness is unpredictability6.1Clarification of the definition of randomness6.2Randomness and probability6.3Subjectivity and context sensitivity of randomness7. Evaluating the analysis[R]andomness … is going to be a concept which is relative to our body of knowledge, which will somehow reflect what we know and what we don't know. Henry E. Kyburg, Jr ([1974], p. 217)Phenomena that we cannot predict must be judged random. Patrick Suppes ([1984], p. 32). (shrink)

Randomness, a core concept of gambling, is seen in problem gambling as responsible for the formation of the math-related cognitive distortions, especially the Gambler’s Fallacy. In problem-gambling research, the concept of randomness was traditionally referred to as having a mathematical nature and categorized and approached as such. Randomness is not a mathematical concept, and I argue that its weak mathematical dimension is not decisive at all for the randomness-related issues in gambling and problem gambling, including the correction of the misconceptions (...) and fallacies about probability and statistical concepts applied in gambling. I distinguish between mathematical and nonmathematical dimensions of randomness (the epistemic, the theoretical-methodological, the functional, and the ethical) falling within the general concept, and I argue that both the studies having as object the math-related cognitive distortions among gamblers and the educational programs aiming at correcting them should employ this distinction in their design and content. (shrink)

n this text, we revisit part of the analysis of anti-entropy in Bailly and Longo (2009} and develop further theoretical reflections. In particular, we analyze how randomness, an essential component of biological variability, is associated to the growth of biological organization, both in ontogenesis and in evolution. This approach, in particular, focuses on the role of global entropy production and provides a tool for a mathematical understanding of some fundamental observations by Gould on the increasing phenotypic complexity along evolution. Lastly, (...) we analyze the situation in terms of theoretical symmetries, in order to further specify the biological meaning of anti-entropy as well as its strong link with randomness. (shrink)

In 1947 Donald Cary Williams claimed in The Ground of Induction to have solved the Humean problem of induction, by means of an adaptation of reasoning first advanced by Bernoulli in 1713. Later on David Stove defended and improved upon Williams’ argument in The Rational- ity of Induction (1986). We call this proposed solution of induction the ‘Williams-Stove sampling thesis’. There has been no lack of objections raised to the sampling thesis, and it has not been widely accepted. In our (...) opinion, though, none of these objections has the slightest force, and, moreover, the sampling thesis is undoubtedly true. What we will argue in this paper is that one particular objection that has been raised on numerous occasions is misguided. This concerns the randomness of the sample on which the inductive extrapolation is based. (shrink)

Early work on the frequency theory of probability made extensive use of the notion of randomness, conceived of as a property possessed by disorderly collections of outcomes. Growing out of this work, a rich mathematical literature on algorithmic randomness and Kolmogorov complexity developed through the twentieth century, but largely lost contact with the philosophical literature on physical probability. The present chapter begins with a clarification of the notions of randomness and probability, conceiving of the former as a property of a (...) sequence of outcomes, and the latter as a property of the process generating those outcomes. A discussion follows of the nature and limits of the relationship between the two notions, with largely negative verdicts on the prospects for any reduction of one to the other, although the existence of an apparently random sequence of outcomes is good evidence for the involvement of a genuinely chancy process. (shrink)

On absolute random and restricted random .

Alexander Rosenberg (1994) claims that the omniscient viewpoint of the evolutionary process would have no need for the concept of random drift. However, his argument fails to take into account all of the processes which are considered to be instances of random drift. A consideration of these processes shows that random drift is not eliminable even given a position of omniscience. Furthermore, Rosenberg must take these processes into account in order to support his claims that evolution is (...) deterministic and that evolutionary biology is an instrumental science. (shrink)

Abstract: This research employs a Random Forest classification model to predict and assess obesity and cardiovascular disease (CVD) risk based on a comprehensive dataset collected from individuals in Mexico, Peru, and Colombia. The dataset comprises 17 attributes, including information on eating habits, physical condition, gender, age, height, and weight. The study focuses on classifying individuals into different health risk categories using machine learning algorithms. Our Random Forest model achieved remarkable performance with an accuracy, F1-score, recall, and precision all (...) reaching 97.23%. The model's success is attributed to its ability to effectively leverage attributes related to eating habits, physical condition, and demographic factors. Feature importance analysis reveals key factors contributing to accurate predictions. This paper contributes to the field of health analytics by demonstrating the effectiveness of Random Forest in predicting and categorizing health risks. The insights gained from this research have the potential to inform personalized health interventions and contribute to the advancement of precision health strategies. Furthermore, the study highlights the importance of leveraging machine learning techniques for health risk assessment in diverse populations. (shrink)

Sortition, i.e. random appointment for public duty, has been employed by societies throughout the years as a firewall designated to prevent illegitimate interference between parties in a legal case and agents of the legal system. In judicial systems of modern western countries, random procedures are mainly employed to select the jury, the court and/or the judge in charge of judging a legal case. Therefore, these random procedures play an important role in the course of a case, and (...) should comply with some principles, such as transparency and complete auditability. Nevertheless, these principles are neglected by random procedures in some judicial systems, which are performed in secrecy and are not auditable by the involved parties. The assignment of cases in the Brazilian Supreme Court is an example of such a procedure, for it is performed using procedures unknown to the parties involved in the judicial cases. This article presents a review of how sortition has been historically employed by societies and discusses how Mathematical Statistics may be applied to random procedures of the judicial system, as it has been applied for almost a century on clinical trials, for example. A statistical model for assessing randomness in case assignment is proposed and applied to the Brazilian Supreme Court. As final remarks, guidelines for the development of good randomization procedures are outlined. (shrink)

Some random processes, like a series of coin flips, can produce outcomes that seem particularly remarkable or striking. This paper explores an epistemic puzzle that arises when thinking about these outcomes and asking what, if anything, we can justifiably believe about them. The puzzle has no obvious solution, and any theory of epistemic justification will need to contend with it sooner or later. The puzzle proves especially useful for bringing out the differences between three prominent theories; the probabilist theory, (...) the normic theory and a theory recently defended by Goodman and Salow. (shrink)

In this article, I attempt to bring some conceptual clarity to several key terms and foundational claims that make up Levinas's body-based conception of ethics. Additionally, I explore ways that Levinas's arguments about the somatic basis of subjectivity and ethical relatedness receive support from recent empirical research. The paper proceeds in this way: First, I clarify Levinas's use of the terms “sensibility”, “subjectivity”, and “proximity” in Otherwise than Being: or Beyond Essence . Next, I argue for an interpretation of (...) Levinas's thought that I suggest is buttressed by recent experimental work in both developmental psychology and neuroscience. I provide examples of research that I suggest opens up Levinas's phenomenological analysis in new and interesting ways. I also urge the importance of Levinas's phenomenological analysis in contextualizing the ethical significance of these empirical findings. (shrink)

Globally, there are calls to increase physical activity levels in relatively sedentary populations, including via physical activity programmes, often targeted at those body-selves deemed at risk of ‘sedentariness’. Despite the salience of sensory pleasures and displeasures in engagement with (and abandonment of) these programmes, the sensory, embodied experiences of participation remain under-researched. Here, we draw on findings from a two-year ethnographic study of a national programme in Wales, which used the aesthetic attractions of ‘natural’ outdoor environments to encourage and sustain (...) physical activity. Employing insights from phenomenological sociology, we explore the programme participants’ (n=146) lived experiences, analysed via a phenomenological lens, cohering around a panoply of sensory pleasures and displeasures, and somatic learning that is shaped and reshaped by weather encounters. (shrink)

Purpose: The purpose of the discussion is to call for an experimental trial in order to optimize the sociology of knowledge in the astronomical and cosmological sciences from a cognitive science and developmental psychology perspective. The potential of such experimental trial may also correlate developmental psychology with cosmology and astrophysics, therefore, contribute to public health from an astrobiological perspective. -/- Method: The discussion adopts a philosophizing method for the multidisciplinary and trans-disciplinary proposal, with the hypothesis that proton decay in cosmology (...) is correlative to neuronal development in human biochemistry. The method adopts a humanitarian paradigm of pragmatism in natural mutation from cosmic changes, in an exploratory heuristics for hydro-sampling of mutational potentials from environmental factors in cosmological large-scale structure. -/- Result: With an initial assessment on existing technologies, the potentials of the big data trend in astronomy and astrophysics can be applied to data analysis with solid-state electrolytes in sensor baselines to nuclear medicine methods. (shrink)

In this article, we aim to describe the crucial role of the somatic marker hypothesis (SMH) in the interaction between what we term the ‘emotional imperative’ and the interference of reason during the decision-making process in António Damásio’s work Descartes’ Error: Emotion, Reason, and the Human Brain. Firstly, we examine the interaction between reasoning, emotions, and human action, with emphasis on the cognitive processes underlying decisionmaking. Next, we explore the influence of emotional and biological factors on SMH, going beyond (...) cost-benefit analysis, highlighting the relevance of memory and mental representations in the decision-making process. Subsequently, we address the influence of SMH, emotions, and feelings on decisions, especially in scenarios of risk and immediate reward, emphasizing the need to consider immediate and future implications. Following this, we investigate somatic markers in neural terms, discussing whether they are innate or acquired and their influence on social behavior and brain lesions. Finally, we analyze the relationship between brain processes, such as the prefrontal cortices, and the interpretation of bodily sensations, emotional responses, and decisionmaking, accentuating the importance of these regions in assimilating somatic markers and their influence on thoughts, perceptions, and behaviors. We conclude that SMH is seen as a biological mechanism that integrates emotional and cognitive information, shaping evaluations and choices. -/- . (shrink)

In this paper, we develop an impure somatic theory of emotion, according to which emotions are constituted by the integration of bodily perceptions with representations of external objects, events, or states of affairs. We put forward our theory by contrasting it with Prinz's pure somatic theory, according to which emotions are entirely constituted by bodily perceptions. After illustrating Prinz's theory and discussing the evidence in its favor, we show that it is beset by serious problems—i.e., it gets the (...) neural correlates of emotion wrong, it isn't able to distinguish emotions from bodily perceptions that aren't emotions, it cannot account for emotions being directed towards particular objects, and it mischaracterizes emotion phenomenology. We argue that our theory accounts for the empirical evidence considered by Prinz and solves the problems faced by his theory. In particular, we maintain that our theory gives a unified and principled account of the relation between emotions and bodily perceptions, the intentionality of emotions, and emotion phenomenology. (shrink)

Review of "Exploring Randomness" (200) and "The Unknowable" (1999) by Gregory Chaitin.

A puzzle of an unmarked clock, used by Timothy Williamson to question the KK principle, was separately adapted by David Christensen and Adam Elga to critique a principle of Rational Reflection. Both authors, we argue, flout the received relationship between ideal agency and the classical distinction between systematic and random error, namely that ideal agents are subject only to the latter. As a result, these criticisms miss their mark.

The case of Andrew Gobea, the first child to receive experimental gene therapy for SCID, and a reflection on the associated ethical implications of gene therapy research.

The Protagoras is the touchstone of Socrates’ moral intellectualist stance. The position in a nutshell stipulates that the proper reevaluation of a desire is enough to neutralize it.[1] The implication of this position is that akrasia or weakness of will is not the result of desire (or fear for that matter) overpowering reason but is due to ignorance. -/- Socrates’ eliminativist position on weakness of will, however, flies in the face of the common-sense experience regarding akratic action and thus Aristotle (...) was at pains to render Socrates’ account of moral incontinence intelligible. The key improvement Aristotle makes to Socrates’s model is to underscore that the conditioning of the akratic’s body plays a critical role in determining the power of one’s appetites and, accordingly, the capacity of one to resist the temptations these appetites present for rational evaluation. As Aristotle puts it, “For the incontinent man is like the people who get drunk quickly and on little wine, i.e., on less than most people.” (1151a 3-4). Aristotle presents what I shall call a somatic paradigm (i.e. the drunkard analogy) in order to tackle the problem of akrasia and it is this somatic solution that marks a significant improvement over Socrates’s intellectualist or informational model or so the tradition tells us. -/- In this paper, I wish to push back on the above Aristotelian explanation. I argue that when one fully examines Socrates’ account of weakness of will that Aristotle’s solution is less effective than is traditionally thought. In fact, Socrates can bring Aristotle’s model into his own; just as Aristotle absorbs what is right about Socrates’s model, namely, that akratic action utilizes reason but to a limited degree, Socrates in Meno (77C-78A) develops his own somatic model of weakness of will that connects to the intellectualist paradigm of the Protagoras. To achieve this rapprochement between the two models, I zero in on the description provided by Socrates of those individuals who desire bad things knowing they are bad as “ill-starred” or “bad spirited” (κακοδαίμων ). The “bad-spirited” is the coward and, in contrast to Aristotle’s drunkard, becomes fearful quickly from little danger. This additional somatic component, when connected to Socrates’s position on akrasia in Protagoras adds a new twist to Socrates’s model in the following way: while no one wishes to be ill-starred such that more harm than good will befall one, one may become so as a result of the bad choices one knowingly makes. -/- -/- [1] “After him came Socrates, who spoke better and further about this subject, but even he was not successful. For he used to make the virtues into sciences, and this is impossible. For the sciences all involve reason, and reason is to be found in the intellectual part of the soul. So that all the virtues, according to him arise in the rational part of the soul. The result is that in making the virtues into sciences he is doing away with the nonrational part of the soul and is thereby doing away with passion and character…” (Aristotle, Magna Moralia 1.1. 1182 a15-26). (shrink)

When does it make sense to act randomly? A persuasive argument from Bayesian decision theory legitimizes randomization essentially only in tie-breaking situations. Rational behaviour in humans, non-human animals, and artificial agents, however, often seems indeterminate, even random. Moreover, rationales for randomized acts have been offered in a number of disciplines, including game theory, experimental design, and machine learning. A common way of accommodating some of these observations is by appeal to a decision-maker’s bounded computational resources. Making this suggestion both (...) precise and compelling is surprisingly difficult. Toward this end, I propose two fundamental rationales for randomization, drawing upon diverse ideas and results from the wider theory of computation. The first unifies common intuitions in favour of randomization from the aforementioned disciplines. The second introduces a deep connection between randomization and memory: access to a randomizing device is provably helpful for an agent burdened with a finite memory. Aside from fit with ordinary intuitions about rational action, the two rationales also make sense of empirical observations in the biological world. Indeed, random behaviour emerges more or less where it should, according to the proposal. (shrink)

This paper explores some ways how perceptual-cognitive accounts of anorexia can benefit from philosophy. The first section focuses on the three dimensions of anorexia most open to a contribution from philosophy: the dimensions of language, perception and cognition. In the second section, I offer a brief overview of what philosophy has to say regarding these dimensions, especially as they relate to two crucial issues: introspection and meaning. I draw from current philosophy of language, especially from the arguments against using internal (...) perception as a model for the way we express our own bodily states. I draw also from current philosophy of interpretation, especially from debates concerning the criteria for handling dialogical misunderstanding. I use these insights to expose some dangers in assuming and working with oversimplified accounts of introspection and meaning. I then suggest refined and updated accounts and examine their applicability and usefulness in the diagnosis and treatment of anorexia. (shrink)

Explaining the behaviour of ecosystems is one of the key challenges for the biological sciences. Since 2000, new-mechanicism has been the main model to account for the nature of scientific explanation in biology. The universality of the new-mechanist view in biology has been however put into question due to the existence of explanations that account for some biological phenomena in terms of their mathematical properties (mathematical explanations). Supporters of mathematical explanation have argued that the explanation of the behaviour of ecosystems (...) is usually provided in terms of their mathematical properties, and not in mechanistic terms. They have intensively studied the explanation of the properties of ecosystems that behave following the rules of a non-random network. However, no attention has been devoted to the study of the nature of the explanation in those that form a random network. In this paper, we cover that gap by analysing the explanation of the stability behaviour of the microbiome recently elaborated by Coyte and colleagues, to determine whether it fits with the model of explanation suggested by the new-mechanist or by the defenders of mathematical explanation. Our analysis of this case study supports three theses: (1) that the explanation is not given solely in terms of mechanisms, as the new-mechanists understand the concept; (2) that the mathematical properties that describe the system play an essential explanatory role, but they do not exhaust the explanation; (3) that a non-previously identified appeal to the type of interactions that the entities in the network can exhibit, as well as their abundance, is also necessary for Coyte and colleagues’ account to be fully explanatory. From the combination of these three theses we argue for the necessity of an integrative pluralist view of the nature of behaviour explanation when this is given by appealing to the existence of a random network. (shrink)

The objective of this article is to try to elucidate Wittgenstein’s ex-travagant thesis that each and every mathematical advancement involves some “semantical mutation”, i.e., some alteration of the very meanings of the terms involved. To do that we will argue in favor of the idea of a “modal incompati-bility” between the concepts involved, as they were prior to the advancement, and what they become after the new result was obtained. We will also argue that the adoption of this thesis profoundly (...) alters the traditional way of con-struing the idea of “progress” in mathematics. (shrink)

It is well known that de se (or ‘self-locating’) propositions complicate the standard picture of how we should respond to evidence. This has given rise to a substantial literature centered around puzzles like Sleeping Beauty, Dr. Evil, and Doomsday—and it has also sparked controversy over a style of argument that has recently been adopted by theoretical cosmologists. These discussions often dwell on intuitions about a single kind of case, but it’s worth seeking a rule that can unify our treatment of (...) all evidence, whether de dicto or de se. -/- This paper is about three candidates for such a rule, presented as replacements for the standard updating rule. Each rule stems from the idea that we should treat ourselves as a random sample, a heuristic that underlies many of the intuitions that have been pumped in treatments of the standard puzzles. But each rule also yields some strange results when applied across the board. This leaves us with some difficult options. We can seek another way to refine the random-sample heuristic, e.g. by restricting one of our rules. We can try to live with the strange results, perhaps granting that useful principles can fail at the margins. Or we can reject the random-sample heuristic as fatally flawed—which means rethinking its influence in even the simplest cases. (shrink)