论文标题
寻求智能决策者的共同模型
The Quest for a Common Model of the Intelligent Decision Maker
论文作者
论文摘要
关于强化学习和决策的多学科会议的前提是，多个学科随着时间的推移而对目标定向决策具有兴趣。本文的想法是通过对决策者的观点提出一种跨心理学，人工智能，经济学，控制理论和神经科学的观点，从而提高和加深了这一前提，我称之为“智能代理的共同模型”。通用模型不包括任何特定于任何生物体，世界或应用领域的任何特定模型。通用模型的确包括决策者与世界的互动（必须有输入和输出，目标）以及决策者的内部组成部分（用于感知，决策，内部评估和世界模型）。我确定了这些方面和组成部分，请注意，它们在不同学科中得到了不同的名称，但基本上是指相同的想法，并讨论了设计中性术语的挑战和好处，该术语可以在学科中使用。现在是时候在智能代理的实质性共同模型上认识并建立在多种学科的融合上。
The premise of the Multi-disciplinary Conference on Reinforcement Learning and Decision Making is that multiple disciplines share an interest in goal-directed decision making over time. The idea of this paper is to sharpen and deepen this premise by proposing a perspective on the decision maker that is substantive and widely held across psychology, artificial intelligence, economics, control theory, and neuroscience, which I call the "common model of the intelligent agent". The common model does not include anything specific to any organism, world, or application domain. The common model does include aspects of the decision maker's interaction with its world (there must be input and output, and a goal) and internal components of the decision maker (for perception, decision-making, internal evaluation, and a world model). I identify these aspects and components, note that they are given different names in different disciplines but refer essentially to the same ideas, and discuss the challenges and benefits of devising a neutral terminology that can be used across disciplines. It is time to recognize and build on the convergence of multiple diverse disciplines on a substantive common model of the intelligent agent.
