从协调逻辑到目标导向推理:人工智能中的代理转向
1BI Norwegian Business School, Oslo, Norway.
Frontiers in artificial intelligence
|January 28, 2026
概括
代理人工智能 (AI) 系统现在可以设定和调整自己的目标,超越固定的目标. 这项研究引入了合成远程学,这是理解和设计人工智能的框架,具有新兴的,自我调节的机构.
科学领域:
- 人工智能的人工智能
- 认知科学 认知科学
- 系统理论 系统理论
背景情况:
- 传统的AI系统优化了外部定义的目标.
- 代理人工智能代表了向具有自我确定目标的系统的范式转变.
- 现有的自主代理和LLM根据固定的任务规范运行.
研究的目的:
- 提出一种在Agentic AI中合成目的性的一般理论.
- 为工程目标生成和调节引入合成远程学的概念.
- 为系统的设计和实证的调查提供一个基础的代理行为.
主要方法:
- 建立基于代理的流程管理系统,以协调和自我监管.
- 开发一个合成远程学的正式理论,用一个递归的目标维护方程.
- 概述设计模式,计算语义和可测量的目标性指标.
主要成果:
- 代理作为在开放环境中人工系统的分布式,自我维护的属性出现.
- 通过递归目标维护方程来正式化合成远程学.
- 识别可测量的指标:远程连贯性,适应性恢复,反射效率.
结论:
- 代理人工智能代表了代理机构的重建,而不仅仅是当前模型的延伸.
- 建议从算法优化转向以目标为导向的推理和有目的的编排.
- 这种转变具有重要的认识体系,社会和机构影响.
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