人工智能框架问题的情境表征

The Framing Problem of Artificial Intelligence and Its Situational Representation

经典人工智能中的一个主要难题是"框架问题",即智能体如何在行动中有效和恰当地表征一个变化的、复杂的世界。本研究以科学实践哲学的理论与框架为视角,认为智能体与环境之间的互动表征生成于情境化的实践过程,人工智能应对复杂情境的举一反三、随机应变是情境化选择的结果,是一种动态维度的地方性产物,人工智能框架问题表征的规范性,正是通过实践内化的因果性得以发挥作用。

One of the major challenges in classical AI is the "framing problem", means how agents can effectively and appropriately represent a changing, complex world in action. From the perspective of the philosophy of scientific practice, it is believed that the interactive representation between agent and environment is generated in the process of situational practice. Also, it is the result of situational selection that artificial intelligence should respond to complex situations and flexible reactions as a local product. Thus, the normative representation of the framework of artificial intelligence plays its role through the causality in practice.