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iFuture

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Andrew Chi-Chih Yao

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iFuture

iFuture is a premier open-access journal published by Tsinghua University Press on the SciOpen platform, with academic support from the Institute for Interdisciplinary Information Sciences at Tsinghua University. Led by Turing Award Laureate Prof. Andrew Chi-Chih Yao as Editor-in-Chief, the journal is the core component of the AI Open Alliance. Its core mission is to break through AI’s theoretical bottlenecks and foundational infrastructure.

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出版方
Tsinghua University Press
主编
Andrew Chi-Chih Yao
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  • Calculus of intelligence: A topos-monadic framework for agentic workflows

    Yang Yuan、Andrew Chi-Chih Yao

    In this paper, we propose “Calculus of Intelligence” (COIN), a mathematical framework that formalizes agentic tasks as typed free-monadic task spaces inside a Grothendieck topos, and studies them as a calculus: differentiation via task-space decomposition, differentials as the resulting local task spaces, and integration via monadic composition together with sheaf-theoretic compatibility of declared overlaps. COIN treats a task as a valid-plan space rather than as a single output: the user intent is progressively elaborated into a typed task space, and each valid decomposition presents a sound subspace of plans obtainable from local solutions whose declared overlaps agree and whose composition is certified.

    2026-07-17

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iFuture

iFuture is a premier open-access journal published by Tsinghua University Press on the SciOpen platform, with academic support from the Institute for Interdisciplinary Information Sciences at Tsinghua University. Led by Turing Award Laureate Prof. Andrew Chi-Chih Yao as Editor-in-Chief, the journal is the core component of the AI Open Alliance. Its core mission is to break through AI’s theoretical bottlenecks and foundational infrastructure.

浏览已出版论文了解投稿与审稿
出版方
Tsinghua University Press
主编
Andrew Chi-Chih Yao
iFuture 封面

期刊论文

全部论文
  • Calculus of intelligence: A topos-monadic framework for agentic workflows

    Yang Yuan、Andrew Chi-Chih Yao

    In this paper, we propose “Calculus of Intelligence” (COIN), a mathematical framework that formalizes agentic tasks as typed free-monadic task spaces inside a Grothendieck topos, and studies them as a calculus: differentiation via task-space decomposition, differentials as the resulting local task spaces, and integration via monadic composition together with sheaf-theoretic compatibility of declared overlaps. COIN treats a task as a valid-plan space rather than as a single output: the user intent is progressively elaborated into a typed task space, and each valid decomposition presents a sound subspace of plans obtainable from local solutions whose declared overlaps agree and whose composition is certified.

    2026-07-17

    正在加载 PDF 首页