If consciousness is an evolved function, the immediate question is what exactly is the currency of evolutionary selection in terms of traits and functions? In almost all of these kinds of arguments there is an explicit requirement that there is on average (or slightly greater than on average) value to survival that results in the maintenance and promotion of the relevant functions. In my Berggruen essay, I argued for a primarily social role to consciousness. Consciousness is a central monitoring framework for the complex web of social interactions that creates a reflective model of a person (and partially and uniquely in certain other species) that can be used to evaluate and plan for sexual pairing and other life choices related to status within social hierarchies. There are other hypotheses, as well, like the idea that predator-prey planning and avoidance is enhanced by a central consciousness experience, including some intriguing work on dreaming (when there is no active consciousness) that shows enhanced dreams for game players who are in the role of being prey within the game context as well as other forms of cognitive activation.
Abstractly, evolution is a distributed adaptation and learning algorithm that is the only robust solution to the complexity of natural environments. Wasteful though it may be, it is the invisible hand that drives forward enhanced prediction and survival using the knobs of genetics and the social relationships that are an extended phenotype in social species. There are a few theories of abstract learning that can be brought to bear on this topic, with the obvious candidate being inductive optimality via Kolmogorov complexity: minimize the model parameters to bottleneck against overtraining and avoid overfitting. This is central to all distributed learning but has layered complexity when considering the how to predict larger, more distal patterns, both temporal and spatial in activation and extent.… Read the rest

