Verbal IQ of a four-year old achieved by an AI system
Stellan Ohlsson, Robert H. Sloan, György Turán, Aaron Urasky · 2013
Verbal tasks that have traditionally been difficult for computer systems but are easy for young children are among AI’s “grand challenges”. We present the results of testing the ConceptNet 4 system on the verbal part of the standard WPPSI-III IQ test, using simple test-answering algorithms. It is found that the system has the Verbal IQ of an average four-year-old child. Overview and Background The question how machines might exhibit common sense is implicit in (Turing 1950), and explicit in (McCarthy 1959). Common sense is “common knowledge about the world that is possessed by every schoolchild and the methods for making obvious inferences from this knowledge ” (Davis 1990). Nilsson (Nilsson 2009) quotes Brooks ’ challenges (Brooks 2008): the object-recognition capabilities of a two-year old, the language capabilities of a four-year old, the manual dexterity of a six-year-old, and the social understanding of an eight-year-old. Capturing language capabilities and common sense in a computer system has turned out to be even harder than capturing technical expertise. Researchers have come to realize that a large knowledge base of facts is probably a prerequisite for successful common-sense reasoning. Attempts to build such a knowledge base include