A PRISMA-based systematic literature review of recent developments in AI agent technologies, with a particular focus on large language model (LLM)-based agents, positions hybrid architectures and standardized evaluation as essential foundations for advancing LLM-based agents from isolated demonstrations toward reliable real-world applications.
A unified, taxonomy-driven, and deployment-oriented survey of agentic AI systems, synthesizing recent advances through a modular reference architecture and a four-dimensional taxonomy that characterizes agents along the axes of autonomy, tool use, collaboration, and safety–governance is presented.
Sparsh Bajoria, Shreyanshu Ranjan, Adhitya M et al.· Cognitive Computation· 0 citations
Experimental results show that AgentLocate consistently outperforms existing failure localization methods in identifying both responsible agents and failure steps, while remaining efficient in terms of token usage and running time.
Yu Xia, Anjun Gao, Yueyang Quan et al.· 0 citations
The paper delivers a comprehensive integrative review which examines current LLM–MARL research through various aspects of agent architectures and coordination mechanisms and memory augmentation and evaluation methodologies used in different fields of study.
Harsh Shingavi, Yash Ranbhare, Esha Shasri et al.· SN Computer Science· 0 citations
The analysis indicates that the promise of LLM-based agents for scalable automation, collaborative reasoning, and complex workflow execution comes with significant challenges in long-horizon reliability, evaluation standardization, communication security, cost-efficient orchestration, governance, and the interpretabili...
N. Mohamed, Prasun Chakrabarti, S. Gupta· Journal of Smart Algorithms...· 0 citations
Large Language Model (LLM)-based agents are evolving from isolated task executors into interconnected societies of autonomous services capable of coordination, adaptation, and collective intelligence. This paper surveys and synthesizes recent advances in agentic services computing, LLM-based multiagent systems, and lan...
Sadaf Shafi, Michael Bidollahkhani, Julian M. Kunkel· Annual International Compute...· 0 citations
This literature review synthesizes 57 peer-reviewed and openly archived contributions published since 2019 into a thematic taxonomy spanning value-decomposition algorithms, trust-region and sequence-model policy methods, and LLM-based agentic frameworks, and discusses implications for applied decision analytics.
B. Rai, Milena Popović· Applied Decision Analytics· 0 citations
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