In this philosophical paper, we explore computational and biological analogies to address the fine-tuning problem in cosmology. We first clarify what it means for physical constants or initial conditions to be fine-tuned. We review important distinctions such as the dimensionless and dimensional physical constants, and the classification of constants proposed by Lévy-Leblond. Then we explore how two great analogies, computational and biological, can give new insights into our problem. This paper includes a preliminary study to examine the two analogies. Importantly, (...) analogies are both useful and fundamental cognitive tools, but can also be misused or misinterpreted. The idea that our universe might be modelled as a computational entity is analysed, and we discuss the distinction between physical laws and initial conditions using algorithmic information theory. Smolin introduced the theory of "cosmological natural selection" with a biological analogy in mind. We examine an extension of. (shrink)

I discuss some of the speculations proposed by Stewart ( 2010a ). These include the following propositions: the cooperation at larger and larger scales, the existence of larger scale processes, the enhancement of the tuning as the universe cycle repeats, the transmission between universes and the motivations to produce a new universe.

The cosmological theory of the author, discussed in (Greben in Found Sci 15(2):153–176, 2010 ), has a number of implications for the interpretation of initial conditions and the fine-tuning problem as discussed by Vidal (Found Sci 15(4):375–393, 2010a ).