Abstract
Computational explanations appeal to computational models, in contrast to equations or axioms, to explain their target systems. These models are typically inspired by natural phenomena and the term natural computation has been used in the literature. Darwinian or evolutionary models and explanations are a prominent form. This paper presents and reviews the concept of computational explanation, and its uses in the biological and social sciences. Emphasis is placed on recent innovations in algorithms for computational modeling. Further, the paper briefly describes application areas that are exploiting the modeling resources lately developed.
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Kimbrough, S.O. (2003). Computational Modeling and Explanation. In: Bhargava, H.K., Ye, N. (eds) Computational Modeling and Problem Solving in the Networked World. Operations Research/Computer Science Interfaces Series, vol 21. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-1043-7_2
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DOI: https://doi.org/10.1007/978-1-4615-1043-7_2
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