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10IntroductionIn Peter Schuster & Dieter Probst (eds.), Concepts of Proof in Mathematics, Philosophy, and Computer Science, De Gruyter. pp. 1-4. 2016.
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9ContentsIn Peter Schuster & Dieter Probst (eds.), Concepts of Proof in Mathematics, Philosophy, and Computer Science, De Gruyter. 2016.
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8PrefaceIn Peter Schuster & Dieter Probst (eds.), Concepts of Proof in Mathematics, Philosophy, and Computer Science, De Gruyter. 2016.
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5Major transitions in evolution and in technology:What they have in common and where they differComplexity 21 (4): 7-13. 2016.
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28Ebola-challenge and revival of theoretical epidemiology: Why Extrapolations from early phases of epidemics are problematicComplexity 20 (5): 7-12. 2015.
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14Models: From exploration to prediction: Bad reputation of modeling in some disciplines results from nebulous goalsComplexity 21 (1): 6-9. 2016.
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3The dilemma of statistics: Rigorous mathematical methods cannot compensate messy interpretations and lousy dataComplexity 20 (1): 11-15. 2014.
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43Power laws in biology: Between fundamental regularities and useful interpolation rulesComplexity 16 (3): 6-9. 2011.
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27Optimization of multiple criteria: Pareto efficiency and fast heuristics should be more popular than they areComplexity 18 (2): 5-7. 2013.
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24“Less is more” and the art of modeling complex phenomena: Simplification may but need not be the key to handle large networksComplexity 11 (2): 11-13. 2005.
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49A beginning of the end of the holism versus reductionism debate?: Molecular biology goes cellular and organismicComplexity 13 (1): 10-13. 2007.
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21Boltzmann, atomism, evolution, and statistics: Continuity versus discreteness in biologyComplexity 11 (6): 9-11. 2006.
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76A revival of the landscape paradigm: Large scale data harvesting provides access to fitness landscapesComplexity 17 (5): 6-10. 2012.
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University of LeedsRegular Faculty
Leeds, West Yorkshire, United Kingdom of Great Britain and Northern Ireland
Areas of Interest
Logic and Philosophy of Logic |
Medieval and Renaissance Philosophy |