A common representation for problem-solving and language-comprehension information

摘要

Many in Artificial Intelligence have noted the common concerns of problem-solving and language-comprehension research. Both must represent large bodies of real world knowledge, and both must use such knowledge to infer new facts from old. Despite this the two subdisciplines have, with minor exceptions, kept arm's length. So, for example, many in language comprehension have adopted some form of ‘frame’ representation, while problem-solving people have tended to use predicate calculus.