Q-SI: A Question-Based Framework for Human-like Artificial Superintelligence (HASI)

This paper proposes a new theoretical framework called Q-SI (Question-based Superintelligence) and HASI (Human-like Artificial Superintelligence), which holds that all truths and cognition can be generated recursively from one genuine question. It is a fundamental theory about intelligence, consciousness, and cognition.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-02-25
DOI
https://doi.org/10.5281/zenodo.18764945
Primary Topic
Space Science and Extraterrestrial Life
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Q-SI: A Question-Based Framework for Human-like Artificial Superintelligence (HASI)

Xiaojia Li
Zenodo (CERN European Organization for Nuclear Research)
Space Science and Extraterrestrial Life
article

Q-SI: A Question-Based Framework for Human-like Artificial Superintelligence (HASI)

Xiaojia Li
article en

Abstract

This paper proposes a new theoretical framework called Q-SI (Question-based Superintelligence) and HASI (Human-like Artificial Superintelligence), which holds that all truths and cognition can be generated recursively from one genuine question. It is a fundamental theory about intelligence, consciousness, and cognition.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 43%
Space Science and Extraterrestrial Life
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.