Knowledge Tree
autonomous agents
Also known as: autonomous agent
Facts (14)
Sources
The Synergy of Symbolic and Connectionist AI in LLM-Empowered ... arxiv.org Jul 11, 2024 6 facts
claimUnlike traditional software programs that follow predetermined rules, autonomous agents operate with self-governing attributes that allow them to function under varying conditions.
claimAutonomous agents facilitate automation by performing tasks that typically require human intervention, thereby enhancing efficiency and reducing operational costs in fields such as robotics, communication, financial trading, and healthcare.
claimAn autonomous agent is an artificially intelligent entity designed to achieve specific goals independently by acquiring contextual factors to perceive the environmental state and undertaking context-relevant actions.
claimFoundational techniques for autonomous agent design originate from classic AI approaches, including Probabilistic Graphical Models, Reinforcement Learning, and Multi-Agent Systems, which manage uncertainty, learn optimal behaviors in dynamic environments, and enable agents to interact and share information efficiently.
referenceLei Wang et al. published 'A survey on large language model based autonomous agents' in Frontiers of Computer Science, 18(6):186345, in 2024.
claimIn robotic applications, autonomous agents serve as robust solutions for long-term automation by navigating tasks with minimal supervision, continuously monitoring their surroundings, and adapting to new situations.
The Integration of Symbolic and Connectionist AI in LLM-Driven ... econpapers.repec.org 2 facts
perspectiveAnkit Sharma proposes a synergistic framework that merges symbolic and connectionist AI paradigms to enhance the reasoning and adaptability capabilities of autonomous agents.
referenceAnkit Sharma's paper, 'Bridging Paradigms: The Integration of Symbolic and Connectionist AI in LLM-Driven Autonomous Agents,' explores the integration of symbolic and connectionist AI paradigms within Large Language Model (LLM)-powered autonomous agents.
The Synergy of Symbolic and Connectionist AI in LLM ... arxiv.org 1 fact
referenceStefano V Albrecht and Peter Stone provided a comprehensive survey and identified open problems regarding autonomous agents modeling other agents in the 2018 Artificial Intelligence journal article 'Autonomous agents modelling other agents: A comprehensive survey and open problems'.
A Comprehensive Review of Neuro-symbolic AI for Robustness ... link.springer.com Dec 9, 2025 1 fact
claimScott, Zolotas, and Xing published 'Beliefnet: a neurosymbolic model to enhance context based traversability predictions for autonomous agents in complex environments' via IOS Press, which describes a neurosymbolic model for autonomous agent traversability.
Integrating Large Language Models into Traffic Systems - PMC - NIH pmc.ncbi.nlm.nih.gov Feb 11, 2026 1 fact
referenceThe review article 'Integrating Large Language Models into Traffic Systems' examines existing research on Large Language Model (LLM) integration, covering topics ranging from data representation to autonomous agents.
Unlocking the Potential of Generative AI through Neuro-Symbolic ... arxiv.org Feb 16, 2025 1 fact
claimIn mixture of experts (MoE)-based multi-agent systems, each expert operates as an autonomous agent specializing in distinct sub-tasks or data domains, while a dynamic gating mechanism orchestrates their contributions.
LLM-empowered knowledge graph construction: A survey - arXiv arxiv.org Oct 23, 2025 1 fact
claimFuture research on dynamic knowledge graphs for autonomous agents will focus on improving scalability, temporal coherence, and multimodal integration.
Practices, opportunities and challenges in the fusion of knowledge ... frontiersin.org 1 fact
claimKnowledge graph-enhanced large language models often incur high computational overhead due to the necessity of graph traversal, entity linking, and dynamic retrieval during inference, which introduces latency that hinders deployment in real-time applications like dialogue systems, autonomous agents, and online recommendation.