title: Simplicity and complexity in MIRROR universes.
abstract: The scientific simplicity principle (OCCAM's razor) has always been strongly enforced by the available modelling tools. Moreover, the concept of simplicity itself is shaped by these (classical) tools. Computer models are less subject to simplicity constraints than other models are. It may be argued that complexity is the preeminent property for biological systems to study. In this paper we discuss our MIRROR modelling methodology in which (a concept of) simplicity is reconciled with biological complexity. Simplicity resides in the simple "TODO" ("do what there is to do") of the "individuals" (molecules, cells, organisms) which inhabit the model universe. The complexity appears in the multiple (levels of) individuals and the multiple levels of observable behavior of the universe. Examples are given of the development of complex, self-regulating social structures by simple interactions of individuals, and the adaptability of TODO based entities is compared to that of evolving entities. On the basis of these examples we sketch a slightly unconventional image of the evolution of complexity in biotic systems and discuss observations on the molecular record of biotic evolution which seem to fit this image.
authors.affiliation: Bioinformatica, Utrecht, The Netherlands.
authors.forename: P
authors.initials: P
authors.lastname: Hogeweg
mesh_terms: D001185:Artificial Intelligence; D005075:Biological Evolution; D003198:Computer Simulation; D004777:Environment; D008954:Models, Biological