Mackworth A K
Perception. 1976;5(3):349-70. doi: 10.1068/p050349.
With a constructive knowledge-based theory of perception as its foundation, this paper starts with a review and critique of some artificial-intelligence programs that purport to see. It is then argued that these computer programs for scene analysis offer the hope of providing a more adequate account oo the current psychological theories. This thesis has several aspects. The one emphasized here is that those programs have explored a variety of methods of incorporating a priori knowledge of objects through the use of models. After outlining the range of models used, presenting a set of criteria for evaluating the use of model information, and sketching some psychological theories, the various proposals are contrasted. This discussion leads to two new proposals for exploiting model information that involve elaborations of an existing program, POLY.
本文以一种基于建构性知识的知觉理论为基础，首先回顾和批判了一些声称具有视觉能力的人工智能程序。接着论证了这些用于场景分析的计算机程序有望为当前的心理学理论提供更充分的解释。本论点有几个方面。这里所强调的一点是，那些程序通过使用模型探索了各种纳入对象先验知识的方法。在概述所使用的模型范围、提出一套评估模型信息使用的标准并简述一些心理学理论之后，对各种提议进行了对比。这一讨论引出了利用模型信息的两项新提议，它们涉及对现有程序POLY的改进。
