Center for Anticipation 2.0: Human, Artificial Intelligence, and Domain Expert in the Study of Possible Futures
Sergey Antonovich Kravchenko
Zenodo (CERN European Organization for Nuclear Research) October 13, 2026 preprint DOI: 10.5281/zenodo.23338032 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Theoretical or philosophical paper |
|---|---|
| Key points | Proposes a research framework for studying how possible futures are represented in experience—dreams, intuition, premonitions, altered states, and anticipatory processes—while distinguishing ordinary psychological anticipation and unconscious inference from precognition. Argues that unusual subjective experience is not evidence of information transfer from the future, and that prospective claims require time-stamped documentation, defined verification criteria, accounting for unsuccessful predictions, and independent assessment. |
Abstract
Center for Anticipation 2.0 is an independent research initiative founded by Sergey Antonovich Kravchenko, continuing the work of the original Center for Anticipation (2008–2018). The project investigates how possible futures are represented in human experience through dreams, intuition, premonitions, altered states of consciousness, and anticipatory processes. Particular attention is given to the transition from an initial subjective experience to interpretation, prospective formulation, independent verification, preparedness, and responsible action. The research framework combines phenomenological documentation, the Method of Significant Associations, temporal analysis, alternative explanatory models, and collaboration among human researchers, artificial intelligence, and domain experts. The project distinguishes ordinary psychological anticipation and unconscious inference from the more demanding hypothesis of precognition. The existence of an unusual subjective experience is not treated as evidence of information transfer from the future. All prospective claims require time-stamped documentation, clearly defined verification criteria, consideration of unsuccessful predictions, and independent assessment. The Center aims to develop transparent research protocols, a cumulative archive of documented observations, and opportunities for interdisciplinary collaboration. This publication presents the conceptual and methodological foundations of Center for Anticipation 2.0 (Version 1.0, October 2026). The Russian and English texts are provided as two language versions of the same publication. Researchers in psychology, consciousness studies, philosophy of time, cognitive science, statistics, and artificial intelligence are invited to contribute critical discussion, methodological proposals, and collaborative research.