To Use AI as Dice of Possibilities with Timing Computation
The dominant noun-based modeling paradigm, grounded in probability theory and committed to pre-specified noun entities as primitive modeling units, is insufficient as a \emph{grammar of thought}: It leaves \emph{timing} outside the computational scope, precluding any adequate representation of the future as an open space of possibilities. This paper addresses three conceptual gaps absent from the existing literature: (1) possibility space -- a framework admitting multiple possible timelines for the same event; (2) timing computation -- the treatment of timing as a computable rather than observed dimension; and (3) causal factum -- the maximal causal efficacy recovered by reasoning backwar...
| Authors | Jia Li, Vipin Kumar, Rui Zhang |
|---|---|
| Primary category | cs.AI |
| Published | 1 May 2026 |
| Last updated at source | 30 July 2026 |
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