Verified65% confidenceFactExact time
Early MAS was theoretically grounded in the BDI (Belief-Desire-Intention) model, with agent behavioral logic relying on rule sets predefined by engineers.
3
Sources
65%
Confidence
Long-term
Relevance
7/5/2026
First Seen
Sources
AI Workbench: One-Click Content Creation from Topic Research to Final Output
bilibili小e同学n7/2/2026
Related Claims
VerifiedThe BDI (Belief-Desire-Intention) model can be traced back to the 1990s and is a classic paradigm for Agent architecture in the field of artificial intelligence.74% similarUnverifiedThe BDI (Belief-Desire-Intention) architecture is the most influential model in agent theory, holding that agents make rational decisions by maintaining beliefs, goals, and action plans.73% similarVerifiedMichael Wooldridge's BDI model defines an Agent as a software entity with a three-layer cognitive structure comprising beliefs, desires, and intentions.73% similarUnverifiedThe theoretical foundations of the Agent Loop can be traced back to the BDI (Belief-Desire-Intention) architecture of the 1980s and the agent-environment interaction loop of the Markov Decision Process (MDP) in reinforcement learning.70% similarUnverifiedIn the MAS paradigm of the LLM era, each Agent uses an LLM as its core reasoning engine, and is capable of dynamically planning action sequences, invoking external tools, and negotiating with other Agents.69% similar
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