CONCEPT LEARNING AND FORM RECOGNITION

这项研究的长期目标是开发一个连贯的量化 (视觉)模式识别理论，将详细讨论 学习在这一过程中的作用。为了避免复杂性，例如 视觉场景或图案可以基于 记住的口头描述(以及其他原因)，这些实验 将以鸽子为研究对象。识别模式的能力 是任何重大交互的先决条件，无论是与物理或 社会环境。拟议的研究是围绕一个 已经解释了大量现象的定量模型 在涉及刺激的选择行为习得实验中观察 沿着一个或多个假体连续体变化。这些实验使用了 相对简单的视觉图案，如字母或几何形状， 显示在电视监视器的表面。他们关心的是 生物体学会区分这些模式，这些模式是怎样的 在内存中表示，决策过程涉及 对这些模式的认识，以及泛化在 形式的抽象。所有工作都是由需要 鸽子将呈现给它们的视觉图案分类为两个或更多 类别。

The long-range goal of this research is to develop a coherent quantitative theory of (visual) pattern recognition that will deal in detail with the role of learning in this process. To avoid complexities such as the possibility that visual scenes or patterns may be recognized on the basis of remembered verbal descriptions (among other reasons), the experiments will be done with pigeons as subjects. The ability to recognize patterns is prerequisite to any significant interaction with either the physical or social environment. The proposed research is organized about a quantitative model that already accounts for a large number of phenomena observed in experiments on acquisition of choice behavior involving stimuli that vary along one or more prothetic continua. The experiments use relatively simple visual patterns, such as letters or geometric forms, displayed on the face of a TV monitor. They are concerned with the way organisms learn to discriminate among such patterns, how the patterns are represented in memory, with the decision processes involved in the recognition of these patterns, and with the role of generalization in the abstraction of form. All the work is done by methods that require the pigeons to classify the visual patterns presented to them into two or more categories.