首页|基于双通道理论的通信认知增强技术研究

基于双通道理论的通信认知增强技术研究

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结合当前大语言模型增强技术研究进展,提出了基于双通道理论的通信认知增强技术框架(telecom augmented cognition architecture,TACA),解决大语言模型在通信领域应用中专业知识不足、推理能力有限等问题,实现面向通信复杂问题的认知推理增强、知识融合增强、模型工具增强和自主决策执行增强等应用能力.针对不同的通信业务场景给出了相应技术应用参考,并通过实验初步验证认知增强方案在解决复杂问题方面的有效性和可行性.因此,所提出的通信认知增强技术框架可作为未来通信行业大语言模型应用的参考框架.
Research on dual process theory based telecom augmented cognition
Incorporating the current works in augmented large language models(LLM),a dual process theory based telecom augmented cognition architecture(TACA)was proposed.This architecture addressed challenges faced by LLM in the field of telecom,such as lack of domain-specific knowledge and limited reasoning capabilities.It aims to enhance cognitive reasoning,knowledge integration,tooling,and autonomous decision-execution capabilities for complex telco-scenarios.Technical application references for different telco-scenarios were provided,and the effec-tiveness and feasibility of the augmented cognition solution were preliminarily validated in addressing complex problems through experiments.The proposed TACA can serve as a future reference architecture for the application of LLMs in the telecom industry.

large language modelaugmented cognitiondual process theoryautonomous decision and executiontelecommunication network

廉霄兴、宋勇、朱军、王淑玲、叶晓舟、欧阳晔

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亚信科技(中国)有限公司,北京 100193

大语言模型 认知增强 双通道理论 自主决策执行 电信网络

2024

电信科学
中国通信学会 人民邮电出版社

电信科学

CSTPCD北大核心
影响因子:0.902
ISSN:1000-0801
年,卷(期):2024.40(1)
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