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Relations (1)
related 2.00 — strongly supporting 3 facts
Autonomous agents are defined as a specific type of artificially intelligent entity [1], with their foundational design techniques rooted in classic artificial intelligence approaches [2]. Furthermore, the academic study of autonomous agents is formally documented within the field's primary literature, such as the Artificial Intelligence journal [3].
Facts (3)
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The Synergy of Symbolic and Connectionist AI in LLM-Empowered ... arxiv.org 2 facts
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.
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'.