3 papers in the library · publishing 2026
AAAI Spring Symposia May 18, 2026 Kenichiro Mogi
It is of interest whether artificial intelligence systems can emulate conscious information processing of the human brain. Here I discuss the aspects of conscious computation leading to artificial consciousness. One of the salient differences between biological neural networks and digital computers is the ubiquitous presence of noise in the former. I outline how noise robustness could correlate...
AAAI Spring Symposia May 18, 2026 Michael Timothy Bennett
Generalisation-optimal learning favours weak rules that keep many futures open. Adaptation under this heuristic yields a hierarchy of selves. Previous Stack Theory results show this hierarchy is necessary for human-like consciousness. A first-order self tags intervention versus observation, enabling causal learning and underpinning subjective experience. A second-order self models the listener,...
AAAI Spring Symposia May 18, 2026 Katrina Schleisman, Michael Levin
The goal of detecting, measuring, and engineering machine consciousness depends on making explicit key metaphysical assumptions about the nature of consciousness that may be lying dormant in the minds of AI researchers. In this position paper, we lay out a small set of arguments that call into question a particular family of these assumptions. These assumptions all arise from the dominant...