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  1.  58
    Time and Knowability in Evolutionary Processes.Elliott Sober & Mike Steel - 2014 - Philosophy of Science 81 (4):558-579.
    Historical sciences like evolutionary biology reconstruct past events by using the traces that the past has bequeathed to the present. Markov chain theory entails that the passage of time reduces the amount of information that the present provides about the past. Here we use a Moran process framework to show that some evolutionary processes destroy information faster than others. Our results connect with Darwin’s principle that adaptive similarities provide scant evidence of common ancestry whereas neutral and deleterious similarities do better. (...)
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  2.  16
    An Autocatalytic Network Model of Conceptual Change.Liane Gabora, Nicole M. Beckage & Mike Steel - 2022 - Topics in Cognitive Science 14 (1):163-188.
    Topics in Cognitive Science, Volume 14, Issue 1, Page 163-188, January 2022.
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  3.  18
    Modeling a Cognitive Transition at the Origin of Cultural Evolution Using Autocatalytic Networks.Liane Gabora & Mike Steel - 2020 - Cognitive Science 44 (9):e12878.
    Autocatalytic networks have been used to model the emergence of self‐organizing structure capable of sustaining life and undergoing biological evolution. Here, we model the emergence of cognitive structure capable of undergoing cultural evolution. Mental representations (MRs) of knowledge and experiences play the role of catalytic molecules, and interactions among them (e.g., the forging of new associations) play the role of reactions and result in representational redescription. The approach tags MRs with their source, that is, whether they were acquired through social (...)
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  4.  91
    Entropy increase and information loss in Markov models of evolution.Elliott Sober & Mike Steel - 2011 - Biology and Philosophy 26 (2):223-250.
    Markov models of evolution describe changes in the probability distribution of the trait values a population might exhibit. In consequence, they also describe how entropy and conditional entropy values evolve, and how the mutual information that characterizes the relation between an earlier and a later moment in a lineage’s history depends on how much time separates them. These models therefore provide an interesting perspective on questions that usually are considered in the foundations of physics—when and why does entropy increase and (...)
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  5.  48
    The Structure of Autocatalytic Sets: Evolvability, Enablement, and Emergence.Wim Hordijk, Mike Steel & Stuart Kauffman - 2012 - Acta Biotheoretica 60 (4):379-392.
    This paper presents new results from a detailed study of the structure of autocatalytic sets. We show how autocatalytic sets can be decomposed into smaller autocatalytic subsets, and how these subsets can be identified and classified. We then argue how this has important consequences for the evolvability, enablement, and emergence of autocatalytic sets. We end with some speculation on how all this might lead to a generalized theory of autocatalytic sets, which could possibly be applied to entire ecologies or even (...)
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  6. Screening-Off and Causal Incompleteness: A No-Go Theorem.Elliott Sober & Mike Steel - 2013 - British Journal for the Philosophy of Science 64 (3):513-550.
    We begin by considering two principles, each having the form causal completeness ergo screening-off. The first concerns a common cause of two or more effects; the second describes an intermediate link in a causal chain. They are logically independent of each other, each is independent of Reichenbach's principle of the common cause, and each is a consequence of the causal Markov condition. Simple examples show that causal incompleteness means that screening-off may fail to obtain. We derive a stronger result: in (...)
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  7.  22
    Similarities as Evidence for Common Ancestry: A Likelihood Epistemology.Elliott Sober & Mike Steel - 2017 - British Journal for the Philosophy of Science 68 (3):617-638.
    ABSTRACT Darwin claims in the Origin that similarity is evidence for common ancestry, but that adaptive similarities are ‘almost valueless’ as evidence. This second claim seems reasonable for some adaptive similarities but not for others. Here we clarify and evaluate these and related matters by using the law of likelihood as an analytic tool and by considering mathematical models of three evolutionary processes: directional selection, stabilizing selection, and drift. Our results apply both to Darwin’s theory of evolution and to modern (...)
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  8.  37
    Similarities as Evidence for Common Ancestry: A Likelihood Epistemology.Elliott Sober & Mike Steel - 2015 - British Journal for the Philosophy of Science:axv052.
    Darwin claims in the Origin that similarity is evidence for common ancestry, but that adaptive similarities are ‘almost valueless’ as evidence. This second claim seems reasonable for some adaptive similarities but not for others. Here we clarify and evaluate these and related matters by using the law of likelihood as an analytic tool and by considering mathematical models of three evolutionary processes: directional selection, stabilizing selection, and drift. Our results apply both to Darwin’s theory of evolution and to modern evolutionary (...)
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  9.  5
    Interior Operators and Their Relationship to Autocatalytic Networks.Mike Steel - 2023 - Acta Biotheoretica 71 (4).
    The emergence of an autocatalytic network from an available set of elements is a fundamental step in early evolutionary processes, such as the origin of metabolism. Given the set of elements, the reactions between them (chemical or otherwise), and with various elements catalysing certain reactions, a Reflexively Autocatalytic F-generated (RAF) set is a subset R′\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$'$$\end{document} of reactions that is self-generating from a given food set, and with each reaction in R′\documentclass[12pt]{minimal} \usepackage{amsmath} (...)
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