How would you know an intelligent system if you saw one
This paper advocates that the study of intelligent systems is a science in its infancy, and there is an urgent need to reduce the ambiguity in definitions of the terms used throughout intelligent systems science. For example, researchers do not agree on what an intelligent system'' is, or how to measure the intelligence within a system. This paper, as an exercise, presents a strawman definition and measure of a system's intelligence, and discusses some of the problems that can arise when measuring intelligence. Not everyone is expected to agree with the strawman definition of intelligence. The primary purpose for presenting it is to stimulate thought, and to challenge the readers to continue the exercise and develop their own measure of intelligence. Maybe, at some point we as researchers can converge on a working quantitative measure of intelligence. 1 ref., 3 figs.
- Research Organization:
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Sponsoring Organization:
- USDOD; DOE/ER
- DOE Contract Number:
- AC05-84OR21400
- OSTI ID:
- 5453455
- Report Number(s):
- CONF-8910284-1; ON: DE90002472; CNN: 1579-1579-A1
- Resource Relation:
- Conference: Aerospace applications of artificial intelligence conference, Dayton, OH (USA), 24-27 Oct 1989
- Country of Publication:
- United States
- Language:
- English
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