Fundamentals of Artificial Intelligence
Lecture, four hours; laboratory, two hours; outside study, six hours. Enforced requisite: course 180. Introduction to fundamental problem solving and knowledge representation paradigms of artificial intelligence. Introduction to Lisp with regular programming assignments. State-space and problem reduction methods, brute-force and heuristic search, planning techniques, two-player games. Knowledge structures including predicate logic, production systems, semantic nets and primitives, frames, scripts. Special topics in natural language processing, expert systems, vision, and parallel architectures. Letter grading.
Review Summary
- Clarity
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6.7 / 10
- Organization
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8.3 / 10
- Time
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5-10 hrs/week
- Overall
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8.3 / 10
Reviews
The class is not really related to AI but is overall good, have things related to algorithm and write some LISP
Showing 1 review
Course
Grading Information
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No group projects
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Attendance not required
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1 midterm
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Finals week final
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0% recommend the textbook