Page 19 - DCAP506_ARTIFICIAL_INTELLIGENCE

Unit 1: Introduction and Overview

Strong AI Systems: Strong AI systems are those that most completely look for to emulate Notes
human thought and cognitive potentials through a broad range of functions.
Weak AI Systems: Artificial intelligence techniques that build up weak AI systems are narrower
in focus, and look for to imitate only a single function or facet of human intelligence.

1.8 Review Questions

1. Elucidate in detail the overview of artificial intelligence.
2. Make distinction between human and computer intelligence.
3. Illustrate the concept of AI Problems.

4. Describe the tasks and applications associated with intelligent behavior.
5. Illustrate the concept of task domain.
6. What are artificial intelligence techniques? How are they used to generate and produce
computer programs?
7. Make distinction between “strong AI” and “weak AI”.
8. What does long-term and short-term criteria mean?

9. Write a short note on the evolution of AI.
10. When the PROLOGUE language came in existence?

Answers: Self Assessment

1. John McCarthy 2. The General Problem Solver (GPS)
3. heuristics 4. Artificial Intelligence (AI)
5. Research 6. intelligence

7. expert 8. Common-place
9. Artificial intelligence techniques 10. Neural networks
11. Expert systems 12. Strong AI
13. weak AI 14. Turing

15. humans
1.9 Further Readings

Books Antonelli, D. 1983. The application of artificial intelligence to a maintenance and diagnostic
information system (MDIS). Proceedings of the Joint Services Workshop on Artificial
Intelligence in Maintenance. Boulder, CO.
Boose, J.H. 1984. Personal construct theory and the transfer of human expertise.
Proceedings of the National Conference on Artificial Intelligence (AAAI-84),
p. 27-33, Austin, Texas.

Boose, J.H. 1985. A knowledge acquisition program for expert systems based on personal
construct psychology. International Journal of Man-Machine Studies, 23, 495-525.

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