Results for 'patterns in biology'

979 found
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  1. Time: The Biggest Pattern in Natural History Research. Evolutionary Biology.Nathalie Gontier - 2016 - Evolutionary Biology 4 (43):604-637.
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  2. Being Emergence vs. Pattern Emergence: Complexity, Control, and Goal-Directedness in Biological Systems.Jason Winning & William Bechtel - 2018 - In Sophie Gibb, Robin Findlay Hendry & Tom Lancaster (eds.), The Routledge Handbook of Philosophy of Emergence. New York: Routledge. pp. 134-144.
    Emergence is much discussed by both philosophers and scientists. But, as noted by Mitchell (2012), there is a significant gulf; philosophers and scientists talk past each other. We contend that this is because philosophers and scientists typically mean different things by emergence, leading us to distinguish being emergence and pattern emergence. While related to distinctions offered by others between, for example, strong/weak emergence or epistemic/ontological emergence (Clayton, 2004, pp. 9–11), we argue that the being vs. pattern distinction better captures what (...)
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  3. What Constitutes an Explanation in Biology?Angela Potochnik - 2019 - In Kostas Kampourakis & Tobias Uller (eds.), Philosophy of Science for Biologists. New York, NY: Cambridge University Press.
    One of biology's fundamental aims is to generate understanding of the living world around—and within—us. In this chapter, I aim to provide a relatively nonpartisan discussion of the nature of explanation in biology, grounded in widely shared philosophical views about scientific explanation. But this discussion also reflects what I think is important for philosophers and biologists alike to appreciate about successful scientific explanations, so some points will be controversial, at least among philosophers. I make three main points: (1) (...)
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  4. Pattern similarity in biological, linguistic, and sociocultural evolution.Nathalie Gontier - 2018 - In In Cuskley, C., Flaherty, M., Little, H., McCrohon, L., Ravignani, A. & Verhoef, T. (Eds.): The Evolution of Language: Proceedings of the 12th International Conference (EVOLANGXII).
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  5. Evidence in biology and the conditions of success.Jacob Stegenga - 2013 - Biology and Philosophy 28 (6):981-1004.
    I describe two traditions of philosophical accounts of evidence: one characterizes the notion in terms of signs of success, the other characterizes the notion in terms of conditions of success. The best examples of the former rely on the probability calculus, and have the virtues of generality and theoretical simplicity. The best examples of the latter describe the features of evidence which scientists appeal to in practice, which include general features of methods, such as quality and relevance, and general features (...)
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  6. Ethnoveterinary Knowledge and Biological Evaluation of Plants Used for Mitigating Cattle Diseases: A Critical Insight Into the Trends and Patterns in South Africa.Mompati Vincent Chakale, Mulunda Mwanza & Adeyemi O. Aremu - 2021 - Frontiers in Veterinary Science 8 (8:710884):891-904.
    Cattle farming is a traditional agricultural system that contributes to the rural economic, social, and cultural values of the communities. Cattle as common with other livestock, are affected by many diseases that cause mortality and economic losses. In many rural households, the use of plants and associated knowledge are popular for managing cattle diseases, especially in areas experiencing challenges with conventional veterinary medicine. Evidence on the documentation of indigenous knowledge and biological evaluation of plants used against cattle diseases remain understudied (...)
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  7. The Evolution of Consciousness & Subjectivity in a Biological Framework for The Universe.Ronald Williams - manuscript
    This paper explores the evolution of consciousness and subjectivity through a biological framework for understanding the universe. It posits that functional patterns in biological systems mirror cosmic mathematical principles, defining our objective reality. Similar to wave and Fibonacci patterns in different physical phenomena, biological patterns are intrinsic to all things and can be quantified using Dedre Gentner’s approach to analogy. For example, Earth’s ocean currents and the melting and freezing of Antarctica resemble the circulatory system and heart, (...)
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  8. Stepping Beyond the Newtonian Paradigm in Biology. Towards an Integrable Model of Life: Accelerating Discovery in the Biological Foundations of Science.Plamen L. Simeonov, Edwin Brezina, Ron Cottam, Andreé C. Ehresmann, Arran Gare, Ted Goranson, Jaime Gomez-­‐Ramirez, Brian D. Josephson, Bruno Marchal, Koichiro Matsuno, Robert S. Root-­Bernstein, Otto E. Rössler, Stanley N. Salthe, Marcin Schroeder, Bill Seaman & Pridi Siregar - 2012 - In Plamen L. Simeonov, Leslie S. Smith & Andrée C. Ehresmann (eds.), Integral Biomathics: Tracing the Road to Reality. Springer. pp. 328-427.
    The INBIOSA project brings together a group of experts across many disciplines who believe that science requires a revolutionary transformative step in order to address many of the vexing challenges presented by the world. It is INBIOSA’s purpose to enable the focused collaboration of an interdisciplinary community of original thinkers. This paper sets out the case for support for this effort. The focus of the transformative research program proposal is biology-centric. We admit that biology to date has been (...)
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  9.  65
    Between Armaments and Ornaments. Weak and Strong Emergent Patterns in Virtual and Real Cellular Automata.Erica Onnis - 2024 - In Ana Cuevas-Badallo, Mariano Martín-Villuendas & Juan Gefaell (eds.), Life and Mind: Theoretical and Applied Issues in Contemporary Philosophy of Biology and Cognitive Sciences. Springer. pp. 67-90.
    Despite the various criteria presented in the literature, most authors engaged in the debate about emergence agree on a fundamental distinction between strong/ontologically robust cases of emergence and weak/metaphysically innocent ones. The former typically involve entities that exhibit new causal capacities, while the latter are primarily associated with deductive unpredictability, conceptual novelty, and other qualities that highlight our epistemic limitations in understanding them. In this paper, I initially examine a paradigmatic example of weak emergence, namely the higher-level patterns generated (...)
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  10. Generation of Biological Patterns and Form: Some Physical, Mathematical and Logical Aspects.Alfred Gierer - 1981 - Progress in Biophysics and Molecular Biology 37 (1):1-48.
    While many different mechanisms contribute to the generation of spatial order in biological development, the formation of morphogenetic fields which in turn direct cell responses giving rise to pattern and form are of major importance and essential for embryogenesis and regeneration. Most likely the fields represent concentration patterns of substances produced by molecular kinetics. Short range autocatalytic activation in conjunction with longer range “lateral” inhibition or depletion effects is capable of generating such patterns (Gierer and Meinhardt, 1972). Non-linear (...)
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  11. Understanding Biology in the Age of Artificial Intelligence.Adham El Shazly, Elsa Lawerence, Srijit Seal, Chaitanya Joshi, Matthew Greening, Pietro Lio, Shantung Singh, Andreas Bender & Pietro Sormanni - manuscript
    Modern life sciences research is increasingly relying on artificial intelligence (AI) approaches to model biological systems, primarily centered around the use of machine learning (ML) models. Although ML is undeniably useful for identifying patterns in large, complex data sets, its widespread application in biological sciences represents a significant deviation from traditional methods of scientific inquiry. As such, the interplay between these models and scientific understanding in biology is a topic with important implications for the future of scientific research, (...)
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  12.  49
    Know Your Game, From in-Real Life Experts to Video Game Experts: Discriminating in-Real Life Experts From Non-Experts Using Blinks and EAR-Derived Features.Gianluca Guglielmo, Michal Klincewicz, Elisabeth Huis in'T. Veld & Pieter Spronck - 2024 - IEEE Transactions on Games 1:1-12.
    Serious games are an effective method of reproducing aspects of the complex interplay between environments and stakeholders in business situations. In the game we describe here, The Sustainable Port, players experience what it is like to make decisions in such a complex environment. Their aim in the game is to grow the Port of Rotterdam while keeping economic growth in balance with sustainability goals. In this study, we assessed whether experienced Port of Rotterdam employees (PoR employees) show different psychophysiological (...), and more specifically EAR-derived features, compared to students. We did this on the assumption that physiological patterns will tell us something about how people who are familiar with the environment of the Port of Rotterdam, more specifically Port of Rotterdam employees, make decisions compared to those lacking such familiarity.Our sample consisted of 28 PoR employees and 65 students, all of whom played The Sustainable Port game and had their faces recorded with a camera. The Eye Aspect Ratio was extracted from these recordings and then from those we extracted EAR-derived features. Our results show that Port of Rotterdam employees perform better than students and that the two groups are characterized by different physiological variations in their EAR-derived features. A logistic regression model used to identify PoR employees and students obtained an F1 score of 0.62, a PR AUC score of 0.64, and a ROC AUC score of 0.70. performing significantly above baseline suggesting the effectiveness of using EAR-derived features for this task. Our interpretation was further confirmed by a pseudo-R2 score used to evaluate the goodness of fit of a logistic regression model on the entire dataset. We found that Port of Rotterdam employees had a lower variation in blink rate per minute (blinks/m) and higher variation in the root mean square difference of successive difference in blinks (RMSSD), the consecutive difference between two continuous blinks. Moreover, this study shows that our methods were robust enough to negate the effects of confounders, such as biological sex and age that affect some other studies that analyze blinks. (shrink)
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  13. Guest-Editorial Introduction: Converging Evolutionary Patterns in Life and Culture.Nathalie Gontier - 2016 - Evolutionary Biology 4 (43):427-445.
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  14. The Origin of Consciousness in a Biological Framework for a Mathematical Universe (23 Pages).Ronald Williams - manuscript
    This essay explores the creation and evolution of life and consciousness through the lens of a biological framework for understanding the universe. The theory posits that the patterns inherent in biological systems mirror the underlying mathematical principles of the cosmos. Thus, every pattern that manifests from the universe’s “parent-pattern” contains a fundamental biological-pattern inherent to its function, revealing the objective nature and purpose of that thing. Examples include the way ocean currents resemble a circulatory system and how socioeconomic phenomena (...)
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  15. A theory of biological pattern formation.Alfred Gierer & Hans Meinhardt - 1972 - Kybernetik, Continued as Biological Cybernetics 12 (1):30 - 39.
    The paper addresses the formation of striking patterns within originally near-homogenous tissue, the process prototypical for embryology, and represented in particularly purist form by cut sections of hydra regenerating, by internal reorganisation of the pre-existing tissue, a complete animal with head and foot. The essential requirements are autocatalytic, self-enhancing activation, combined with inhibitory or depletion effects of wider range – “lateral inhibition”. Not only de-novo-pattern formation, but also well known, striking features of developmental regulation such as induction, inhibition, and (...)
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  16. Brain Patterns Shaping Embodied Activities of Their Bodily Limbs in Perception and Cognition.de Sá Pereira Roberto horácio, Farias Sérgio & Barcellos Victor - 2023 - Qeios.
    This essay aims to expose the metaphysical underpinnings of enactivism. While enactivism relies heavily on rejecting the traditional mind-body problem by excluding the familiar thought experiments that favor phenomenal dualism, the crucial point that is overlooked is instead the brain-body problem, specifically the crucial interaction between the brain and the bodily limbs in their embodied activities of perception and cognition. If enactivism is correct, differences in sensory experience necessarily entail differences in embodied activity—this is the metaphysical core of enactivism, which (...)
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  17. Violence in the prehistoric period of Japan: the spatio-temporal pattern of skeletal evidence for violence in the Jomon period.Hisashi Nakao, Kohei Tamura, Yui Arimatsu, Tomomi Nakagawa, Naoko Matsumoto & Takehiko Matsugi - 2016 - Biology Letters 1 (12):20160028.
    Whether man is predisposed to lethal violence, ranging from homicide to warfare, and how that may have impacted human evolution, are among the most controversial topics of debate on human evolution. Although recent studies on the evolution of warfare have been based on various archaeological and ethnographic data, they have reported mixed results: it is unclear whether or not warfare among prehistoric hunter – gatherers was common enough to be a component of human nature and a selective pressure for the (...)
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  18. Non-linear Analysis of Models for Biological Pattern Formation: Application to Ocular Dominance Stripes.Michael Lyons & Lionel G. Harrison - 1992 - In Frank Eeckman (ed.), Neural Systems: Analysis and Modeling. Springer. pp. 39-46.
    We present a technique for the analysis of pattern formation by a class of models for the formation of ocular dominance stripes in the striate cortex of some mammals. The method, which employs the adiabatic approximation to derive a set of ordinary differential equations for patterning modes, has been successfully applied to reaction-diffusion models for striped patterns [1]. Models of ocular dominance stripes have been studied [2,3] by computation, or by linearization of the model equations. These techniques do not (...)
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  19. The Biological Framework for a Mathematical Universe.Ronald Williams - unknown - Dissertation, Temple University
    The mathematical universe hypothesis is a theory that the physical universe is not merely described by mathematics, but is mathematics, specifically a mathematical structure. Our research provides evidence that the mathematical structure of the universe is biological in nature and all systems, processes, and objects within the universe function in harmony with biological patterns. Living organisms are the result of the universe’s biological pattern and are embedded within their physiology the patterns of this biological universe. Therefore physiological (...) in living organisms can be used as models to structurally map analogies from the biological domain to any target domain to reveal and understand the biological nature of the target domain. Our paper explores various analogies, structurally mapping a red blood cell to a cup; proteins produced from ribosomes to music produced from instruments; a beating heart to the melting and freezing of Antartica; cells, tissue, organs and blood, to people, organizations, industries, and money, and; bio-economic concepts in cellular society to socioeconomic concepts in human society. It also discusses how phenomena in cellular mitosis can help explain phenomena in the universe, such as black holes, dark matter, dark energy, and the structure of the universe. Building upon the concept of perennial wisdom, our research has provided evidence that the ideas of a biological universe were expressed across many past cultures and historical periods. The implications of this theory are vast, encompassing fields such as physics, science, philosophy, religion, law, economics, politics, and engineering, thus serving as a unifying theory for all knowledge. Our theory is supported by meta-analysis of scientific, historic, and religious literature, observations and first principles logic. (shrink)
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  20. Transformation of the French Pattern of a Naturalistic Character in Ivan Franko’s Literary Works.Nataliia Yatskiv - 2018 - Kyiv-Mohyla Humanities Journal 5:183-200.
    The article deals with the means of constructing a naturalistic character, the model for which was proposed by French writers: the Goncourt brothers and Émile Zola. Naturalists draw their personage concept from the interpretation of its biological nature. The focus of its depiction is shifted to the study of fundamental features of human nature rather than “variables” of the historical forms of its manifestation. A naturalistic character, being “a biological being” rather than “a set of social relations,” is completely absorbed (...)
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  21.  94
    Dance displays in gibbons: biological and linguistic perspectives on structured, intentional, and rhythmic body movement.Camille Coye, Kai Caspar & Pritty Patel-Grosz - 2024 - Primates.
    Female crested gibbons (genus Nomascus) perform conspicuous sequences of twitching movements involving the rump and extremities. However, these dances have attracted little scientific attention and their structure and meaning remain largely obscure. Here we analyse close-range video recordings of captive crested gibbons, extracting descriptions of dance in four species (N. annamensis, N. gabriellae, N. leucogenys and N. siki). In addition, we report results from a survey amongst relevant professionals clarifying behavioural contexts of dance in captive and wild crested gibbons. Our (...)
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  22. Correction to: ‘Violence in the prehistoric period of Japan: the spatio-temporal pattern of skeletal evidence for violence in the Jomon period’.Nakao Hisashi, Kohei Tamura, Yui Arimatsu, Tomomi Nakagawa, Naoko Matsumoto & Takehiko Matsugi - 2016 - Biology Letters 2016:20160847.
    Whether man is predisposed to lethal violence, ranging from homicide to warfare, and how that may have impacted human evolution, are among the most controversial topics of debate on human evolution. Although recent studies on the evolution of warfare have been based on various archaeological and ethnographic data, they have reported mixed results: it is unclear whether or notwarfare among prehistoric hunter–gathererswas common enough to be a component of human nature and a selective pressure for the evolution of human behaviour. (...)
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  23. Discovering Autoinhibition as a Design Principle for the Control of Biological Mechanisms.Andrew Bollhagen & William Bechtel - 2022 - Studies in History and Philosophy of Science 95 (C):145-157.
    Autoinhibition is a design principle realized in many molecular mechanisms in biology. After explicating the notion of a design principle and showing that autoinhibition is such a principle, we focus on how researchers discovered instances of autoinhibition, using research establishing the autoinhibition of the molecular motors kinesin and dynein as our case study. Research on kinesin and dynein began in the fashion described in accounts of mechanistic explanation but, once the mechanisms had been discovered, researchers discovered that they exhibited (...)
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  24. Mathematical Modeling of Biological and Social Evolutionary Macrotrends.Leonid Grinin, Alexander V. Markov & Andrey V. Korotayev - 2014 - In Leonid Grinin & Andrey Korotayev (eds.), History & Mathematics: Trends and Cycles. Volgograd: "Uchitel" Publishing House. pp. 9-48.
    In the first part of this article we survey general similarities and differences between biological and social macroevolution. In the second (and main) part, we consider a concrete mathematical model capable of describing important features of both biological and social macroevolution. In mathematical models of historical macrodynamics, a hyperbolic pattern of world population growth arises from non-linear, second-order positive feedback between demographic growth and technological development. Based on diverse paleontological data and an analogy with macrosociological models, we suggest that the (...)
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  25. The Epistemology of Causal Selection: Insights from Systems Biology.Beckett Sterner - forthcoming - In C. Kenneth Waters & James Woodward (eds.), Philosophical Perspectives on Causal Reasoning in Biology. University of Minnesota Press.
    Among the many causes of an event, how do we distinguish the important ones? Are there ways to distinguish among causes on principled grounds that integrate both practical aims and objective knowledge? Psychologist Tania Lombrozo has suggested that causal explanations “identify factors that are ‘exportable’ in the sense that they are likely to subserve future prediction and intervention” (Lombrozo 2010, 327). Hence portable causes are more important precisely because they provide objective information to prediction and intervention as practical aims. However, (...)
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  26. Scientific Knowledge in Aristotle’s Biology.Barbara Botter - 2015 - ATINER'S Conference Paper Series:1-15.
    Aristotle was the first thinker to articulate a taxonomy of scientific knowledge, which he set out in Posterior Analytics. Furthermore, the “special sciences”, i.e., biology, zoology and the natural sciences in general, originated with Aristotle. A classical question is whether the mathematical axiomatic method proposed by Aristotle in the Analytics is independent of the special sciences. If so, Aristotle would have been unable to match the natural sciences with the scientific patterns he established in the Analytics. In this (...)
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  27. An organisational approach to biological communication.Ramiro Frick, Leonardo Bich & Alvaro Moreno - 2019 - Acta Biotheoretica (2):103-128.
    This paper aims to provide a philosophical and theoretical account of biological communication grounded in the notion of organisation. The organisational approach characterises living systems as organised in such a way that they are capable to self-produce and self-maintain while in constant interaction with the environment. To apply this theoretical framework to the study of biological communication, we focus on a specific approach, based on the notion of influence, according to which communication takes place when a signal emitted by a (...)
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  28. Modeling of Biological and Social Phases of Big History.Leonid Grinin, Andrey V. Korotayev & Alexander V. Markov - 2015 - In Leonid Grinin & Andrey Korotayev (eds.), Evolution: From Big Bang to Nanorobots. Uchitel Publishing House. pp. 111-150.
    In the first part of this article we survey general similarities and differences between biological and social macroevolution. In the second (and main) part, we consider a concrete mathematical model capable of describing important features of both biological and social macroevolution. In mathematical models of historical macrodynamics, a hyperbolic pattern of world population growth arises from non-linear, second-order positive feedback between demographic growth and technological development. Based on diverse paleontological data and an analogy with macrosociological models, we suggest that the (...)
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  29. Climate Change and Conservation Biology as it Relates to Urban Environments.Samantha Noll & Michael Goldsby - 2020 - Recerca.Revista de Pensament I Anàlisi 25 (2).
    Climate change continues to have recognizable impacts across the globe, as weather patterns shift and impacts accumulate and intensify. In this wider context, urban areas face significant challenges as they attempt to mitigate dynamic changes at the local level — changes such as those caused by intensifying weather events, the disruption of critical supplies, and the deterioration of local ecosystems. One field that could help urban areas address these challenges is conservation biology. However, this paper presents the argument (...)
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  30. On Similarities between Biological and Social Evolutionary Mechanisms: Mathematical Modeling.Leonid Grinin - 2013 - Cliodynamics: The Journal of Theoretical and Mathematical History 4:185-228.
    In the first part of this article we survey general similarities and differences between biological and social macroevolution. In the second (and main) part, we consider a concrete mathematical model capable of describing important features of both biological and social macroevolution. In mathematical models of historical macrodynamics, a hyperbolic pattern of world population growth arises from non-linear, second-order positive feedback between demographic growth and technological development. This is more or less identical with the working of the collective learning mechanism. Based (...)
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  31. Pan‐Africanism vs. single‐origin of Homo sapiens: Putting the debate in the light of evolutionary biology.Andra Meneganzin, Telmo Pievani & Giorgio Manzi - 2022 - Evolutionary Anthropology 31 (4).
    The scenario of Homo sapiens origin/s within Africa has become increasingly complex, with a pan-African perspective currently challenging the long-established single-origin hypothesis. In this paper, we review the lines of evidence employed in support of each model, highlighting inferential limitations and possible terminological misunderstandings. We argue that the metapopulation scenario envisaged by pan-African proponents well describes a mosaic diversification among late Middle Pleistocene groups. However, this does not rule out a major contribution that emerged from a single population where crucial (...)
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  32. Philosophers should be interested in ‘common currency’ claims in the cognitive and behavioural sciences.David Spurrett - 2014 - South African Journal of Philosophy 33 (2):211-221.
    A recurring claim in a number of behavioural, cognitive and neuro-scientific literatures is that there is, or must be, a unidimensional ‘common currency’ in which the values of different available options are represented. There is striking variety in the quantities or properties that have been proposed as determinants of the ordering in motivational strength. Among those seriously suggested are pain and pleasure, biological fitness, reward and reinforcement, and utility among economists, who have regimented the notion of utility in a variety (...)
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  33. Biological utilization of quantum nonlocality.Brian D. Josephson & Fotini Pallikari-Viras - 1991 - Foundations of Physics 21 (2):197-207.
    The perception of reality by biosystems is based on different, and in certain respects more effective, principles than those utilized by the more formal procedures of science. As a result, what appears as random pattern to the scientific method can be meaningful pattern to a living organism. The existence of this complementary perception of reality makes possible in principle effective use by organisms of the direct interconnections between spatially separated objects shown to exist in the work of J. S. Bell.
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  34. The biological significance of color.Birgitta Dresp & Keith Langley - 2009 - In Darius Skusevich & Petras Matikas (eds.), Color Perception: Physiology, Processes and Analysis. Nova Science Publishers. pp. 110--115.
    How the visual systems of different species enable them to detect and discriminate colour patterns and how such visual abilities contribute to their survival is discussed. The influence of evolutionary and environmental pressures on both perceptual capacity and colour trait production is to be considered. Visual systems with different functional anatomy have evolved in response to such pressures.
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  35. Nano-plasmonic and nanoelectronic pattern is one of the miniaturization techniqu.Afshin Rashid - 2024 - Authorea 12.
    nanological gates, in order to design nano-scale computers with dual-scale capabilities. All living biological systems function due to the molecular interactions of different subsystems. Molecular components (proteins and nucleic acids, lipids and carbohydrates, DNA and RNA) can be used as an inspirational strategy on how to design high-performance NEMS and MEMS that have the required features and characteristics. Considered. In addition, analytical and numerical methods are available for dynamic analysis and three-dimensional geometry, bonding and other properties of atoms and molecules. (...)
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  36. Well-Structured Biology: Numerical Taxonomy's Epistemic Vision for Systematics.Beckett Sterner - 2014 - In Andrew Hamilton (ed.), Patterns in Nature. University of California Press. pp. 213-244.
    What does it look like when a group of scientists set out to re-envision an entire field of biology in symbolic and formal terms? I analyze the founding and articulation of Numerical Taxonomy between 1950 and 1970, the period when it set out a radical new approach to classification and founded a tradition of mathematics in systematic biology. I argue that introducing mathematics in a comprehensive way also requires re-organizing the daily work of scientists in the field. Numerical (...)
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  37. The Turing Guide.Jack Copeland, Jonathan Bowen, Robin Wilson & Mark Sprevak (eds.) - 2017 - Oxford: Oxford University Press.
    This volume celebrates the various facets of Alan Turing (1912–1954), the British mathematician and computing pioneer, widely considered as the father of computer science. It is aimed at the general reader, with additional notes and references for those who wish to explore the life and work of Turing more deeply. -/- The book is divided into eight parts, covering different aspects of Turing’s life and work. -/- Part I presents various biographical aspects of Turing, some from a personal point of (...)
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  38. John S. Wilkins and Malte C. Ebach: The Nature of Classification: Relationships and Kinds in the Natural Sciences: Palgrave, Macmillan, 2014, pp., vii + 197, Price £60/$100.00.Catherine Kendig - 2015 - History and Philosophy of the Life Sciences 37 (4):477-479.
    John Wilkins and Malte Ebach respond to the dismissal of classification as something we need not concern ourselves with because it is, as Ernest Rutherford suggested, mere ‘‘stamp collecting.’’ They contend that classification is neither derivative of explanation or of hypothesis-making but is necessarily prior and prerequisite to it. Classification comes first and causal explanations are dependent upon it. As such it is an important (but neglected) area of philosophical study. Wilkins and Ebach reject Norwood Russell Hanson’s thesis that classification (...)
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  39.  23
    The easy difference: Sex in behavioural ecology.Rose Trappes - 2024 - In Annabelle Dufourcq, Annemie Halsema, Katrine Smiet & Karen Vintges (eds.), Purple Brains: Feminisms at the Limits of Philosophy. Nijmegen: Radboud University Press. pp. 98-105.
    This chapter questions the way “sex” features in behavioral ecological research as a standard explanatory variable. Researchers often use sex to explain variation in a trait or phenomenon that they are studying. This practice is widespread, partly because sex is often easy to identify and often explains some variation, thus making it easier to discover and test other causal patterns of interest. Yet, sex also frequently fails to explain variation. Using a couple of recent examples, it is shown how (...)
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  40. Clarifying The Interface Theory of Perception Using The Biological Framework.Ronald Williams - manuscript
    This essay explains Donald Hoffman's Interface Theory of Perception using The Biological Framework for a Mathematical Universe proposed by Ronald Williams. According to Hoffman, what we perceive is more like a “desktop interface with icons representing complex underlying processes, rather than a direct window into the true nature of the world." The theory of a biological framework for a mathematical universes suggests that these complex underlying processes of “the desktop interface with icons” contain correspondences to biological systems. For example, “the (...)
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  41. The Origin of Consciousness.Ronald Williams - forthcoming - Biologicaluniverse.Org.
    This paper explores the evolution of consciousness and subjectivity through a biological framework for understanding the universe. It posits that functional patterns in biological systems mirror cosmic mathematical principles, defining our objective reality. Similar to wave and Fibonacci patterns in different physical phenomena, biological patterns are intrinsic to all things and can be quantified using Dedre Gentner’s approach to analogy. For example, Earth’s ocean currents and the melting and freezing of Antarctica resemble the circulatory system and heart, (...)
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  42. Kabbalah: Revealing Pnimiyut and Chitzoniyut's Connection to Biology.Ronald Williams - manuscript
    The theory proposing a biological framework for a mathematical universe hypothesis posits that biological patterns define the fundamental nature of reality. These biological patterns are initially hidden from view, but can only be unveiled and understood through the knowledge of biology’s patterns and structurally mapping correspondences from the biological domain to a target domain. This perspective aligns with the ideas establishing perennial wisdom, a concept that encompasses universal and timeless spiritual truths found across various traditions. By (...)
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  43. The Inefficiency of the Biological Brain and the Importance of AI for the Next Generation.Angelito Malicse - manuscript
    The Inefficiency of the Biological Brain and the Importance of AI for the Next Generation -/- The human brain, often considered the pinnacle of evolutionary design, is an extraordinary organ capable of creativity, critical thinking, and adaptation. However, despite its remarkable abilities, it is inherently inefficient when compared to artificial intelligence (AI) systems in certain domains. The inefficiencies of the biological brain, coupled with the rapid development of AI technology, underline why artificial general intelligence (AGI) holds immense promise for shaping (...)
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  44. Life-centered ethics, and the human future in space.Michael N. Mautner - 2008 - Bioethics 23 (8):433-440.
    In the future, human destiny may depend on our ethics. In particular, biotechnology and expansion in space can transform life, raising profound questions. Guidance may be found in Life-centered ethics, as biotic ethics that value the basic patterns of organic gene/protein life, and as panbiotic ethics that always seek to expand life. These life-centered principles can be based on scientific insights into the unique place of life in nature, and the biological unity of all life. Belonging to life then (...)
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  45. The ontology of organisms: Mechanistic modules or patterned processes?Christopher J. Austin - 2016 - Biology and Philosophy 31 (5):639-662.
    Though the realm of biology has long been under the philosophical rule of the mechanistic magisterium, recent years have seen a surprisingly steady rise in the usurping prowess of process ontology. According to its proponents, theoretical advances in the contemporary science of evo-devo have afforded that ontology a particularly powerful claim to the throne: in that increasingly empirically confirmed discipline, emergently autonomous, higher-order entities are the reigning explanantia. If we are to accept the election of evo-devo as our best (...)
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  46.  47
    Order in the nothing: autopoiesis and the organizational characterization of the living.Leonardo Bich & Luisa Damiano - 2008 - In World Scientific (ed.), Physics of Emergence and Organization. pp. 343-373.
    An approach which has the purpose to catch what characterizes the specificity of a living system, pointing out what makes it different with respect to physical and artificial systems, needs to find a new point of view – new descriptive modalities. In particular it needs to be able to describe not only the single processes which can be observed in an organism, but what integrates them in a unitary system. In order to do so, it is necessary to consider a (...)
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  47. The indeterminacy of genes: The dilemma of difference in medicine and health care.Jamie P. Ross - 2017 - Social Theory and Health 1 (15):1-24.
    How can researchers use race, as they do now, to conduct health-care studies when its very definition is in question? The belief that race is a social construct without “biological authenticity” though widely shared across disciplines in social science is not subscribed to by traditional science. Yet with an interdisciplinary approach, the two horns of the social construct/genetics dilemma of race are not mutually exclusive. We can use traditional science to provide a rigorous framework and use a social-science approach so (...)
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  48. The significances of bacterial colony patterns.James A. Shapiro - 1995 - Bioessays 17 (7):597-607.
    Bacteria do many things as organized populations. We have recently learned much about the molecular basis of intercellular communication among prokaryotes. Colonies display bacterial capacities for multicellular coordination which can be useful in nature where bacteria predominantly grow as films, chains, mats and colonies. E. coli colonies are organized into differentiated non-clonal populations and undergo complex morphogenesis. Multicellularity regulates many aspects of bacterial physiology, including DNA rearrangement systems. In some bacterial species, colony development involves swarming (active migration of cell groups). (...)
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  49. How (not) to bring psychology and biology together.Mark Fedyk - 2015 - Philosophical Studies 172 (4):949-967.
    Evolutionary psychologists often try to “bring together” biology and psychology by making predictions about what specific psychological mechanisms exist from theories about what patterns of behaviour would have been adaptive in the EEA for humans. This paper shows that one of the deepest methodological generalities in evolutionary biology—that proximate explanations and ultimate explanations stand in a many-to-many relation—entails that this inferential strategy is unsound. Ultimate explanations almost never entail the truth of any particular proximate hypothesis. But of (...)
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  50. Human Symmetry Uncertainty Detected by a Self-Organizing Neural Network Map.Birgitta Dresp-Langley - 2021 - Symmetry 13:299.
    Symmetry in biological and physical systems is a product of self-organization driven by evolutionary processes, or mechanical systems under constraints. Symmetry-based feature extraction or representation by neural networks may unravel the most informative contents in large image databases. Despite significant achievements of artificial intelligence in recognition and classification of regular patterns, the problem of uncertainty remains a major challenge in ambiguous data. In this study, we present an artificial neural network that detects symmetry uncertainty states in human observers. To (...)
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