Some ideas on semantic memory in automatic learning of heuristics

This paper is concerned with the problem of computer semantic memory, i. e. with the problem of representing general knowledge about, a given world. The semantic memory issue is raised in the context of machine learning of heuristics and the connection with the problem of machine representation of knowledge is emphasized. The guidelines for the implementation of a semantic memory are presented and attention is given to the design of the processes for storing and retrieving information. The problem of knowledge representation is tackled in its, general form, so that the proposed semantic memory may be of interest also in other fields, like Natural Language Understanding, Question Answering, Theorem Proving.