From Autonomous Agents to Integrated Systems, A New Paradigm: Orchestrated Distributed Intelligence
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Abstract (arXiv)
The rapid evolution of artificial intelligence (AI) has ushered in a new era of integrated systems that merge computational prowess with human decision-making. In this paper, we introduce the concept of Orchestrated Distributed Intelligence (ODI), a novel paradigm that reconceptualizes AI not as isolated autonomous agents, but as cohesive, orchestrated networks that work in tandem with human expertise. ODI leverages advanced orchestration layers, multi-loop feedback mechanisms, and a high cognitive density framework to transform static, record-keeping systems into dynamic, action-oriented environments. Through a comprehensive review of multi-agent system literature, recent technological advances, and practical insights from industry forums, we argue that the future of AI lies in integrating distributed intelligence within human-centric workflows. This approach not only enhances operational efficiency and strategic agility but also addresses challenges related to scalability, transparency, and ethical decision-making. Our work outlines key theoretical implications and presents a practical roadmap for future research and enterprise innovation, aiming to pave the way for responsible and adaptive AI systems that drive sustainable innovation in human organizations.
Key facts. Cited by 12 papers in the map (data through 14 Oct 2026). Builds on 2 of its 18 references that are in the map. First posted on arXiv 17 Mar 2025.
Builds on
2 of 18 references.
References · 2
- 2016Concrete Problems in AI Safetycited by 1,642
- 2025SYMBIOSIS: Systems Thinking and Machine Intelligence for Better Outcomes in Societycited by 1
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Citing papers per year: 2025: 8; 2026: 4.
12 papers.
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- 2025Thinking Beyond Tokens: From Brain-Inspired Intelligence to Cognitive Foundations for Artificial General Intelligence and its Societal Impactcited by 6
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- 2026DTOC: Dynamic Tool Output Compression for Adaptive Context Management in AI Agents6 Aug 2026
- 2026OmniFood-Bench: Evaluating VLMs for Nutrient Reasoning and Personalized Health Advice9 Jul 2026
- 2026From AGI to ASI10 Jun 2026
- 2026Layered Mutability: Continuity and Governance in Persistent Self-Modifying Agents16 Apr 2026
- 2025Distributional AGI Safety18 Dec 2025
- 2025Agentic Lybic: Multi-Agent Execution System with Tiered Reasoning and Orchestration14 Sep 2025
- 2025BetaWeb: Towards a Blockchain-enabled Trustworthy Agentic Web19 Aug 2025
- 2025A Survey of Context Engineering for Large Language Models17 Jul 2025
- 2025Thinking Beyond Tokens: From Brain-Inspired Intelligence to Cognitive Foundations for Artificial General Intelligence and its Societal Impact1 Jul 2025
- 2025AI Agents vs. Agentic AI: A Conceptual Taxonomy, Applications and Challenges15 May 2025
- 2025Engineering Risk-Aware, Security-by-Design Frameworks for Assurance of Large-Scale Autonomous AI Models9 May 2025
- 2025A Survey on Efficient Vision-Language Models13 Apr 2025