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The answer to a research question will help address a research problem or question. [5] Specifying a research question, "the central issue to be resolved by a formal dissertation, thesis, or research project," [6] is typically one of the first steps an investigator takes when undertaking research.
Examples of closed-ended questions that may elicit a "yes" or "no" response include: Were you born in 2010? Is Lyon the capital of France? Did you steal the money? Similarly, variants of the above closed-ended questions that possess specific responses are: On what day were you born? ("Saturday.") What is the capital of France? ("Paris.")
A problem statement is a description of an issue to be addressed, or a condition to be improved upon. It identifies the gap between the current problem and goal. The first condition of solving a problem is understanding the problem, which can be done by way of a problem statement. [1]
Swedish PhD studies should in theory last for four years, including course work and thesis work, but as many PhD students also teach, the PhD often takes longer to complete. The thesis can be written as a monograph or as a compilation thesis ; in the latter case, the introductory chapters are called the kappa (literally "coat").
A research statement is a summary of research achievements and a proposal for upcoming research. It often includes both current aims and findings, and future goals. Research statements are usually requested as part of a relevant job application process, and often assist in the identification of appropriate applicants.
In discussions of problem structuring methods, it is common to distinguish between two different types of situations that could be considered to be problems. [17] Rittel and Webber's distinction between tame problems and wicked problems (Rittel & Webber 1973) is a well known example of such types. [17]
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The mountain car problem appeared first in Andrew Moore's PhD thesis (1990). [1] It was later more strictly defined in Singh and Sutton's reinforcement learning paper with eligibility traces . [ 2 ] The problem became more widely studied when Sutton and Barto added it to their book Reinforcement Learning: An Introduction (1998). [ 3 ]