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New 'Macroagent' Ontology Proposed for Modeling Complex Systems

By PulseAugur Editorial · [1 sources] ·

The concept of a "macroagent" is introduced as an optimization process comprising agentic subsystems, applicable to entities like teams, companies, AI scaffolds, markets, and even scientific communities. This framework defines a macroagent by three primitives: memory (shared information), mechanisms (rules governing interactions), and agentic subsystems (the individual agents within the larger structure). The ontology aims to provide a structured way to model and potentially optimize both human and AI systems for improved alignment and epistemic accuracy. AI

IMPACT Introduces a new conceptual framework for modeling AI societies and hybrid systems, potentially aiding in alignment and epistemic improvements.

RANK_REASON The item introduces a new conceptual framework ('macroagent ontology') for modeling complex systems, which falls under commentary/opinion rather than a direct release or research finding.

Read on LessWrong (AI tag) →

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

New 'Macroagent' Ontology Proposed for Modeling Complex Systems

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7 / 100
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Commentary
The item introduces a new conceptual framework ('macroagent ontology') for modeling complex systems, which falls under commentary/opinion rather than a direct release or research finding.
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. LessWrong (AI tag) TIER_1 English(EN) · Towards_Keeperhood ·

    [Macroagents] 1. The Macroagent Ontology

    <p>I think an important concept for sensibly modeling a part of the world is what I call a "macroagent", which abstracts over the similarity cluster of teams, companies, AI scaffolds, countries, the market, and the scientific community.</p><p>In this post, I will lay out the basi…

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