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

Fuente: arXiv
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Autori principali: Bădică, Costin, Bădică, Amelia, Ganzha, Maria, Ivanović, Mirjana, Paprzycki, Marcin, Selişteanu, Dan, Wrona, Zofia
Natura: Preprint
Pubblicazione: 2025
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author Bădică, Costin
Bădică, Amelia
Ganzha, Maria
Ivanović, Mirjana
Paprzycki, Marcin
Selişteanu, Dan
Wrona, Zofia
author_facet Bădică, Costin
Bădică, Amelia
Ganzha, Maria
Ivanović, Mirjana
Paprzycki, Marcin
Selişteanu, Dan
Wrona, Zofia
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2509_02515
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems
Bădică, Costin
Bădică, Amelia
Ganzha, Maria
Ivanović, Mirjana
Paprzycki, Marcin
Selişteanu, Dan
Wrona, Zofia
Multiagent Systems
Artificial Intelligence
68Txx
I.2
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.
title Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems
topic Multiagent Systems
Artificial Intelligence
68Txx
I.2
url https://arxiv.org/abs/2509.02515