Advanced applications of APL: logic programming,

neural networks, and hypertext This paper reviews the work of the author on the application of the APL and APLP programming languages to logic pro ramming, emulation of neural networks, and t a e programming of hypertext applications. T he last decade has witnessed the emergence and maturation of a whole set of new fields and techniques in computer science, such as logic programming (which actually started in the 1970s), neural networks, object-oriented programming, genetic algorithms, and a few others. APL (and its successor APL~) remains abreast of the times as a programming language and has demonstrated its capability for all of these exciting new fields. This paper summarizes the previous work of the author in three of the indicated fields. The first section, on logic programming, describes the design of a logic programming auxiliary processor, capable of performing declarative logic inferences similar to Prolog, that can be invoked and used from an APL workspace. This processor is now a part of the APL~PC IBM product. The second section, on neural networks, describes how APL can be used to model, teach, and implement these modem structures which, though descending directly from the perceptrons of the 1960s, have now revived with a new strength and are being applied to new, interesting fields