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  1. The purpose and place of formal systems in the development of science.Bruce Edmonds - manuscript
    The aim of this paper is to re-emphasise that the purpose of formal systems is to provide something to map into and to stem the tide of unjustified formal systems. I start by arguing that expressiveness alone is not a sufficient justification for a new formal system but that it must be justified on pragmatic grounds. I then deal with a possible objection as might be raised by a pure mathematician and after that to the objection that theory can be (...)
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  • The emergence of value: human norms in a natural world.Lawrence Cahoone - 2023 - Albany: State University of New York Press.
    Argues that truth, moral right, political right, and aesthetic value may be understood as arising out of a naturalist account of humanity, if naturalism is rightly conceived.
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  • The Orders of Nature.Lawrence Cahoone - 2013 - State University of New York Press.
    A systematic theory of naturalism, bridging metaphysics and the science of complexity and emergence.
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  • Complexity and Context-Dependency.Bruce Edmonds - 2013 - Foundations of Science 18 (4):745-755.
    It is argued that given the “anti-anthropomorphic” principle—that the universe is not structured for our benefit—modelling trade-offs will necessarily mean that many of our models will be context-specific. It is argued that context-specificity is not the same as relativism. The “context heuristic”—that of dividing processing into rich, fuzzy context-recognition and crisp, conscious reasoning and learning—is outlined. The consequences of accepting the impact of this human heuristic in the light of the necessity of accepting context-specificity in our modelling of complex systems (...)
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  • A general framework for measuring system complexity.Mahmoud Efatmaneshnik & Michael J. Ryan - 2016 - Complexity 21 (S1):533-546.
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  • Replication, replication and replication: Some hard lessons from model alignment.Bruce Edmonds - unknown
    A published simulation model Riolo et al. 2001 ) was replicated in two independent implementations so that the results as well as the conceptual design align. This double replication allowed the original to be analysed and critiqued with confidence. In this case, the replication revealed some weaknesses in the original model, which otherwise might not have come to light. This shows that unreplicated simulation models and their results can not be trusted - as with other kinds of experiment, simulations need (...)
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  • Complexity and information: Measuring emergence, self‐organization, and homeostasis at multiple scales.Carlos Gershenson & Nelson Fernández - 2013 - Complexity 18 (2):29-44.
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  • Complexity of networks (Reprise).Russell K. Standish - 2012 - Complexity 17 (3):50-61.
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  • The “weight” of models and complexity.Jing Du - 2016 - Complexity 21 (3):21-35.
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