Despite eminent and numerous attempts to understand complex thinking, insight problem solving and language acquisition, one is left with the feeling that an essential component of these processes is being overlooked. This project offers and elaborates the Neural Replicator Hypothesis (NRH) stating that this missing ingredient is true Darwinian neurodynamics of replicators within the brain itself. Previous related approaches have been either sketchy, metaphorical, merely philosophical, or have used selection but not replication. INSIGHT is based on, and will refine, plausible neurobiological foundations of neuronal replicators despite the fact that neurons do not reproduce. It will show that Darwinian neurodynamics offers a credible and efficient algorithm for approximate Bayesian inference in the brain.
