RATIONAL ANALYSIS OF LEARNING AND COGNITION

这项研究的基本方法论是发展 人类表象和机制的计算机模拟 认知力。我的研究有了一个新的方向，那就是 其特点是专注于人类的机制如何 头脑适应了环境的结构。我现在是 追寻一篇名为《理性原则》的论文 提出了大脑的机制被优化到 环境。一本正在完成的书(安德森正在印刷中) 本论文成功地针对以下相对简单的领域展开 人类的基本记忆和简单概念形成等认知能力。 本裁决的目的是允许有足够的时间来获得 为有效地进行这项分析所需的培训 更复杂的问题解决和语言领域。第一 我们将用三年的时间来掌握 贝叶斯决策理论。最近三年(重叠在一年 年)将用来对我自己进行再培训，以了解目前的状况 语言学。 与此同时，理性的问题解决理论将 被开发出来。这一理论将结合对 问题解决中涉及因果外推的概率 以及解决问题的各种途径的成本。它将尝试 将解决问题的逻辑和控制都解释为 响应综合考虑的优化 概率和成本。

The principle methodology of this research has been to develop computer simulations of the representations and mechanisms of human cognition. My research has taken a new direction which is characterized as being focused on how the mechanisms of the human mind are adapted to structure of the environment. I am currently pursuing a thesis called "The principle of rationality" which proposed that the mechanisms of the mind are optimized to the environment. A book is being completed (Anderson, in press) that develops this thesis successfully for relatively simple areas of human cognition such as basic memory and simple concept formation. The purpose of this award is to allow sufficient time to acquire the training required to effectively pursue this analysis for the more complex areas of problem solving and language. The first three years will be spent acquiring a sophisticated background in Bayesian decision theory. The last three years (overlapping in one year) will be spent retraining myself as to the current state of linguistics. In parallel with this, a rational theory of problem solving will be developed. This theory will combine an analysis of the probability of causal extrapolations involved in problem solving with the cost of various paths of problem solving. It will attempt to explain both the logic and control of problem solving as an optimization that responds to the combined consideration of probability and cost.