Abstract
AbstractThe Königsberg bridge problem has played a central role in recent philosophical discussions of mathematical explanation. In this paper I look at it from a novel perspective, which is independent of explanatory concerns. Instead of restricting attention to the solved Königsberg bridge problem, I consider Euler’s construction of a solution method for the problem and discuss two later integrations of Euler’s approach into a more structured methodology, arisen in operations research and genetics respectively. By examining Euler’s work and its later developments, I achieve two main goals. First, I offer an analysis of the role played by mathematics as a problem-solving instrument within scientific enquiry. Second, I shed light on the broader significance of well known contributions to the debate on mathematical explanation. I suggest that these contributions, which are tied to a localised explanatory context, achieve a greater relevance and attain a sharper formulation when they are referred to scientific enquiry at large, as opposed to its possible explanatory outcomes alone.
Publisher
Springer Science and Business Media LLC
Reference25 articles.
1. Adleman, L. (1994). Molecular computation of solutions to combinatorial problems. Science, 266, 1021–1024.
2. Baker, A. (2005). Are there genuine mathematical explanations of physical phenomena? Mind, 114, 223–238.
3. Baker, A. (2009). Mathematical explanation in science. British Journal for the Philosophy of Science, 60, 611–633.
4. Baker, A. (2017). Mathematics and explanatory generality. Philosophia Mathematica, 25, 194–209.
5. Baumgarden, J., Acker, K., Adefuye, O., Crowley, S. T., DeLoache, W., Dickson, J. O., et al. (2009). Solving a Hamiltonian path problem with a bacterial computer. Journal of Biological Engineering, 3, 11.