Ads
related to: artificial intelligence problem solving question paper free- Free Grammar Checker
Check your grammar in seconds.
Feel confident in your writing.
- Free Punctuation Checker
Fix punctuation and spelling.
Find errors instantly.
- Free Spell Checker
Improve your spelling in seconds.
Avoid simple spelling errors.
- Grammarly for Business
Make every function more functional
Drive team productivity.
- Free Plagiarism Checker
Compare text to billions of web
pages and major content databases.
- Free Essay Checker
Proofread your essay with ease.
Writing that makes the grade.
- Free Grammar Checker
Search results
Results From The WOW.Com Content Network
Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]
Means–ends analysis [1] (MEA) is a problem solving technique used commonly in artificial intelligence (AI) for limiting search in AI programs.. It is also a technique used at least since the 1950s as a creativity tool, most frequently mentioned in engineering books on design methods.
In artificial intelligence (AI), an expert system is a computer system emulating the decision-making ability of a human expert. [1] Expert systems are designed to solve complex problems by reasoning through bodies of knowledge, represented mainly as if–then rules rather than through conventional procedural programming code. [ 2 ]
The missionaries and cannibals problem, and the closely related jealous husbands problem, are classic river-crossing logic puzzles. [1] The missionaries and cannibals problem is a well-known toy problem in artificial intelligence , where it was used by Saul Amarel as an example of problem representation.
Other considered kinds of constraints are on real or rational numbers; solving problems on these constraints is done via variable elimination or the simplex algorithm. Constraint satisfaction as a general problem originated in the field of artificial intelligence in the 1970s (see for example (Laurière 1978)).
Different kinds of problem-solving (e.g., top-down, bottom-up, and opportunistic problem-solving) could be selectively mixed based on the current state of problem solving. Essentially, the problem-solver was being used both to solve a domain-level problem along with its own control problem, which could depend on the former.
Ad
related to: artificial intelligence problem solving question paper free