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New AAM/5C model proposes distributed autonomy for complex organizations

A new reference model called AAM/5C has been proposed to address the "cognitive complexity wall" faced by large organizations with numerous interacting components. This model outlines five capabilities—Capture, Comprehend, Choose, Coordinate, and Control—across seven logical layers. A single authorization rule, R-AUT, governs the proposal, decision, and execution phases, involving a probabilistic planner, a governance layer, and a security layer. The book introduces three new constructs: the Validation step of the Distributed Autonomy Loop, the ephemeral authority surface, and the cognitive dependency plane, positioning them within the context of autonomic computing and multi-agent systems. AI

IMPACT Proposes a framework for managing complexity in large-scale distributed systems, potentially impacting AI agent orchestration.

RANK_REASON The item is an academic paper detailing a new conceptual model for distributed autonomy. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.MA (Multiagent) →

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

New AAM/5C model proposes distributed autonomy for complex organizations

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The item is an academic paper detailing a new conceptual model for distributed autonomy. [lever_c_demoted from research: ic=1 ai=0.7]
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COVERAGE [1]

  1. arXiv cs.MA (Multiagent) TIER_1 English(EN) · Laurent Goujon ·

    Agentic Architecture of Information Systems. The AAM/5C Model: A Reference Model for Distributed Autonomy

    Large organizations increasingly face what this book calls the cognitive complexity wall: at the scale of hundreds of interacting components, maintaining the dependency map and reacting at the pace of incidents exceeds what a human team can deliver. This conceptual volume propose…