Unverified50% confidenceFactExact time
ROUNDS replaces the rule engine in traditional BDI systems with a large language model, making the agent's reasoning process more flexible and also less predictable.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
8/31/2026
First Seen
Valid until: 11/29/2026
Sources
Related Entities
Related Claims
UnverifiedThe tool-calling mechanism allows large language models to dynamically invoke external functions during inference, representing a fundamental leap from language models to action models.69% similarUnverified模型的平台风格适配依赖世界知识泛化而非硬编码规则，因此存在推断偏差的可能，仍需人工复核69% similarUnverifiedThe rise of large language models (LLMs) has enabled a paradigm-level leap in multi-agent systems, shifting agent behavioral logic from 'hard-coded rules' to 'soft-coded semantics'.67% similarUnverifiedAn LLM Agent is a modern implementation of the BDI architecture with a large language model as its 'brain,' where the model's reasoning capability serves as the engine for belief updating and intention generation.67% similarUnverified指令微调与RLHF技术使模型能理解模糊的自然语言指令并拆解为技术实现路径66% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/831533API
curl https://kongchang.com/api/v1/knowledge/claims/831533MCP
get_claim(id=831533)