Hinton的博士导师是Christopher Longuet-Higgins, 爱丁堡大学的认知科学家，理论化学出身，1967年到爱丁堡大学与人合作办了机器智能和知觉系,Hinton1977年在那儿博士毕业。但那时候，Longuet-Higgins已经在1974年转到了萨克森大学实验心理学系。
所以说Hinton是个心理学家，本科和博士都是心理学。他的1977年博士论文：松弛法和它在视觉中的作用。所以，Hinton这一辈子的研究，都是关于知觉的，他并不懂心理学其他的领域。
就如我一再指出的一样，深度学习解决的是个知觉问题，算是解决了认知的底层功能。在知觉问题解决了的基础上，人工智能才可能有个比较好的发展。但是，知觉问题从一开始就被认为是最简单的问题，50年代的AI开创者们认为一个暑假几个学生就可以解决，结果花了70年才解决。
Relaxation and its Role in Vision
It is argued that a visual system, especially one which handles imperfect data, needs a way of selecting the best consistent combination from among the many interrelated, locally plausible hypotheses about how parts or aspects of the visual input may be interpreted. A method is presented in which each hypothesis is given a supposition value between 0 and 1. A parallel relaxation I operator, based on the plausibilities of hypotheses and the logical relations between them, is then used to modify the supposition values, and the process is repeated until the best consistent set of hypotheses have supposition values of approximately 1, and the rest have values of approximately 0. The method is incorporated in a program which can interpret configurations of overlapping rectangles as puppets. For this task it is possible to formulate all the potentially relevant hypotheses before using relaxation to select the best consistent set. For more complex tasks, it is necessary to use relaxation on the locally plausible interpretations to guide the search for locally less obvious ones. Ways of doing this are discussed. Finally, an implemented system is presented which allows the user to specify schemas and inference rules, and uses relaxation to control the building of a network of instances of the schemas, when presented with data about some instances and relations between them。
wass 写了： 2024年 10月 11日 21:18
谁是Hinton的老师？