Mind Outside Brain
We approach the problem of the extended mind from a radically non-dualist perspective. The separation between mind and matter is an artefact of the outdated mechanistic worldview, which leaves no room for mental phenomena such as agency, intentionality, or feeling. We propose to replace it by an action ontology, which conceives mind and matter as aspects of the same network of processes. By adopting the intentional stance, we interpret the catalysts of elementary reactions as agents exhibiting desires, intentions, and sensations. Autopoietic networks of reactions constitute more complex super-agents, which moreover exhibit memory, deliberation and sense-making. In the specific case of social networks, individual agents coordinate their actions via the propagation of challenges. The distributed cognition that emerges from this interaction cannot be situated in any individual brain. This non-dualist, holistic view extends and operationalises process metaphysics and Eastern philosophies. It is supported by both mindfulness experiences and mathematical models of action, self-organisation, and cognition.
Religion for the Nonreligious
The Omega Point as Eschaton
Frank Tipler presents an outline of the Omega Point theory, which is a model for an omnipresent, omniscient, omnipotent, evolving, personal God who is both transcendent to spacetime and immanent in it, and who exists necessarily. The model is a falsifiable physical theory, deriving its key concepts not from any religious tradition but from modern physical cosmology and computer science; from scientific materialism rather than revelation. Four testable predictions of the model are given. The theory assumes that thinking is a purely physical process of the brain, and that personality dies with the brain. Nevertheless, he shows that the Omega Point theory suggests a future universal resurrection of the dead very similar to the one predicted in the Judeo-Christian-Islamic tradition. The notions of “grace” and the “beatific vision” appear naturally in the model.