Language: Japanese | English
Attention, Not Self
A personal inquiry exploring the points of contact between Buddhist Abhidharma and Computational Phenomenology (an attempt to formalize phenomenological description as computational models). It consists of ten thematic essays (20 in Japanese and English), a dharma comparison table covering the three major Abhidharma systems, and a knowledge graph of 333 nodes.
The framework in which the 2,500-year-old Abhidharma decomposes the mind not into a “self as substance” but into a “stream of dharmas arising moment by moment” corresponds, surprisingly closely in structure, to contemporary computational models of consciousness such as Global Workspace Theory (GWT), Predictive Processing (PP), and Integrated Information Theory (IIT). For example, in the Theravada cognitive process, only the javana (impulsion) stage generates karma, and in GWT, content becomes usable for reporting or voluntary action only at the stage of brain-wide ignition. Theme 4 rates the quality of evidence for this correspondence as “moderate” and lists as a non-correspondence that GWT…