Switch to: References

Add citations

You must login to add citations.
  1. Stability in Cosmology, from Einstein to Inflation.C. D. McCoy - 2020 - In Claus Beisbart, Tilman Sauer & Christian Wüthrich (eds.), Thinking About Space and Time: 100 Years of Applying and Interpreting General Relativity. Cham: Birkhäuser. pp. 71-89.
    I investigate the role of stability in cosmology through two episodes from the recent history of cosmology: Einstein’s static universe and Eddington’s demonstration of its instability, and the flatness problem of the hot big bang model and its claimed solution by inflationary theory. These episodes illustrate differing reactions to instability in cosmological models, both positive ones and negative ones. To provide some context to these reactions, I also situate them in relation to perspectives on stability from dynamical systems theory and (...)
    Download  
     
    Export citation  
     
    Bookmark   2 citations  
  • Simple theories of a messy world: Truth and explanatory power in nonlinear dynamics.Alexander Rueger & W. David Sharp - 1996 - British Journal for the Philosophy of Science 47 (1):93-112.
    Philosophers like Duhem and Cartwright have argued that there is a tension between laws' abilities to explain and to represent. Abstract laws exemplify the first quality, phenomenological laws the second. This view has both metaphysical and methodological aspects: the world is too complex to be represented by simple theories; supplementing simple theories to make them represent reality blocks their confirmation. We argue that both aspects are incompatible with recent developments in nonlinear dynamics. Confirmation procedures and modelling strategies in nonlinear dynamics (...)
    Download  
     
    Export citation  
     
    Bookmark   11 citations  
  • When good theories make bad predictions.Vadim Batitsky & Zoltan Domotor - 2007 - Synthese 157 (1):79 - 103.
    Chaos-related obstructions to predictability have been used to challenge accounts of theory validation based on the agreement between theoretical predictions and experimental data. These challenges are incomplete in two respects: they do not show that chaotic regimes are unpredictable in principle and, as a result, that there is something conceptually wrong with idealized expectations of correct predictions from acceptable theories, and they do not explore whether chaos-induced predictive failures of deterministic models can be remedied by stochastic modeling. In this paper (...)
    Download  
     
    Export citation  
     
    Bookmark   5 citations