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Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems

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arxiv 2509.02515 v1 pith:G6CDZPCD submitted 2025-09-02 cs.MA cs.AI

Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems

classification cs.MA cs.AI
keywords systemsadvancementsagentclassiccontemporarymodelsmulti-agenttechnology
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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This contribution provides our comprehensive reflection on the contemporary agent technology, with a particular focus on the advancements driven by Large Language Models (LLM) vs classic Multi-Agent Systems (MAS). It delves into the models, approaches, and characteristics that define these new systems. The paper emphasizes the critical analysis of how the recent developments relate to the foundational MAS, as articulated in the core academic literature. Finally, it identifies key challenges and promising future directions in this rapidly evolving domain.

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Cited by 1 Pith paper

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  1. Multi-Agent Systems: From Classical Paradigms to Large Foundation Model-Enabled Futures

    cs.AI 2026-04 unverdicted novelty 4.0

    A survey comparing classical multi-agent systems with large foundation model-enabled multi-agent systems, showing how the latter enables semantic-level collaboration and greater adaptability.