Chapter 3 This chapter talks about various problems that an agent faces and various ways to formulate the problem. It explains different problems based on different scenarios and explains effective ways to come up with a search strategy to solve the problem. It explains the formulate, search, execute design. There are four essentially different types of problems — single state problems, multiple-state problems, contingency problems, and exploration problems. The initial state, operator set, goal test, and path cost function define a problem. The process of removing detail from a representation is called abstraction. Explains various toy problems and how to solve them. A state is arc-consistent j if every variable has a value in its domain that is consistent with each of the constraints on that I variable. Chapter 4 This chapter takes the problems from the previous chapter and explains various ways of solving them. It explains various algorithms and ...
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