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New theory unifies AI communication, control, and decision-making

By PulseAugur Editorial · [1 sources] ·

A new paper proposes a mathematical framework for pragmatic information theory, aiming to unify communication, control, and decision-making. The theory introduces the concept of isoteleia, which formalizes the idea that different semantic paths can be pragmatically equivalent if they lead to the same optimal action. This framework extends classical information theory concepts like entropy and channel capacity to a task-oriented context, establishing a fundamental limit on the utility an intelligent system can extract based on its goals and resource constraints. AI

IMPACT Establishes a new mathematical foundation for goal-directed AI systems, potentially influencing future research in autonomous agents and embodied AI.

RANK_REASON The cluster contains a submitted academic paper on a theoretical framework for AI. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New theory unifies AI communication, control, and decision-making

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The cluster contains a submitted academic paper on a theoretical framework for AI. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Kai Niu, Ping Zhang ·

    A Mathematical Theory of Pragmatic Information

    arXiv:2609.10986v1 Announce Type: cross Abstract: We propose a pragmatic information theory unifying communication, control, and decision-making. Its core is the isoteleia mapping, formalizing equifinality: distinct semantic paths leading to the same optimal action are pragmatica…

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