1.which action is a rational agent expected to prioritize?2.Define the term search in uniformed search algorithms.3.Differentiate between Heuristic search and blind search.4.List out the advantages of using a Hill Climbing algorithm for solving an optimization problem.5.How does Monte Carlo Tree Search improve decision – marking?6.How would you categorize solving a Sudoku puzzle to different problem solving paradigms?7.Represent the statement in First order Logic: “For all natural numbers x, there exists a natural number y such that y is greater than x”.8.What is forward and backward chaining systems?9.Compare and contrast top down and bottom up approaches to ontology development.10.Define a heuristic function in the context of AI planning.11 a. Discuss in details the four basic kinds of agent programs that represent the principles underlying almost all intelligent systems.(13)Or11b. Explain the following uniformed search strategies and compare their performance based on performance metrics.I.Depth first searchII.Iterative deepening depth first searchIII.Bidirectional search12 a.