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  1. Negotiating boundaries in the definition of life: Wittgensteinian and Darwinian insights on resolving conceptual border conflicts. [REVIEW]Robert T. Pennock - 2012 - Synthese 185 (1):5-20.
    What is the definition of life? Artificial life environments provide an interesting test case for this classical question. Understanding what such systems can tell us about biological life requires negotiating the tricky conceptual boundary between virtual and real life forms. Drawing from Wittgenstein’s analysis of the concept of a game and a Darwinian insight about classification, I argue that classifying life involves both causal and pragmatic elements. Rather than searching for a single, sharp definition, these considerations suggest that life is (...)
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  • On Mathematical Anti-Evolutionism.Jason Rosenhouse - 2016 - Science & Education 25 (1-2):95-114.
    The teaching of evolution in American high schools has long been a source of controversy. The past decade has seen an important shift in the rhetoric of anti-evolutionists, toward arguments of a strongly mathematical character. These mathematical arguments, while different in their specifics, follow the same general program and rely on the same underlying model of evolution. We shall discuss the nature and history of this program and model and describe general reasons for skepticism with regard to any anti-evolutionary arguments (...)
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  • Humanities’ metaphysical underpinnings of late frontier scientific research.Alcibiades Malapi-Nelson - 2014 - Humanities 214 (3):740-765.
    The behavior/structure methodological dichotomy as locus of scientific inquiry is closely related to the issue of modeling and theory change in scientific explanation. Given that the traditional tension between structure and behavior in scientific modeling is likely here to stay, considering the relevant precedents in the history of ideas could help us better understand this theoretical struggle. This better understanding might open up unforeseen possibilities and new instantiations, particularly in what concerns the proposed technological modification of the human condition. The (...)
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  • Learning evolution and the nature of science using evolutionary computing and artificial life.Robert Pennock - manuscript
    Because evolution in natural systems happens so slowly, it is dif- ficult to design inquiry-based labs where students can experiment and observe evolution in the way they can when studying other phenomena. New research in evolutionary computation and artificial life provides a solution to this problem. This paper describes a new A-Life software environment – Avida-ED – in which undergraduate students can test evolutionary hypotheses directly using digital organisms that evolve on their own through the very mechanisms that Darwin discovered.
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  • Early Evolution of Memory Usage in Digital Organisms.Robert T. Pennock - unknown
    We investigate the evolution of memory usage in environments where information about past experience is required for optimal decision making. For this study, we use digital organisms, which are self-replicating computer programs that are subject to mutations and natural selection. We place the digital organisms in a range of experimental environments: simple ones where environmental cues indicate that a specific action should be taken (e.g., turn left to find food) as well as slightly more complex ones where cues refer to (...)
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  • Environmental Ethics.Roberta L. Millstein - 2013 - In Kostas Kampourakis (ed.), The Philosophy of Biology: a Companion for Educators. Dordrecht: Springer.
    A number of areas of biology raise questions about what is of value in the natural environment and how we ought to behave towards it: conservation biology, environmental science, and ecology, to name a few. Based on my experience teaching students from these and similar majors, I argue that the field of environmental ethics has much to teach these students. They come to me with pent-up questions and a feeling that more is needed to fully engage in their subjects, and (...)
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