Biological and social factors (i.e., nature and nurture) interact to give rise to specific human attributes; but they alone are insufficient to explain our most uniquely human attributes: our creative ideas, artifacts, and cultures, and the diverse worldviews that underlie them. We posit that these attributes stem from the capacity for an autonomous, generative stream of thought; it relies on nous. The word ‘nous’ comes from the Greeks, and refers to intellect, understanding, thought, or reason. Our abstract thoughts, ideas, and unique creative styles, and how they crystallize into distinct ways of seeing, being, and contributing to the world may seem harder to pin down or study scientifically than innate drives (nature) and socially learnt (nurture). We show how these attributes can be modelled using autocatalytic networks. Originally used to model the origin of life, autocatalytic networks provide an abstract formal framework with which to model the emergence and growth of networks; not just the networks of catalytic molecules at the core of biological evolution, but also the cognitive structures at the core of biological evolution. Applied to culture, they allow us to model the cognitive steps involved in how knowledge obtained through social or individual learning (modelled as foodset items) ‘catalyze’ the generation of new ideas and perspectives (foodset derived items), and to track lineages of cultural adaptation and change. We outline how they have bene used to model significant transitions in human cultural prehistory, as well as cognitive development in the mind of a child, and cultural discontinuities caused by cross-domain transfer.