The document is an exam for an Artificial Intelligence course that contains 8 questions covering various topics: 1) It asks students to explain the utility-based agent model with a diagram and describe properties of the environment. 2) Questions cover heuristic functions, the differences between breadth-first and depth-first search, and explaining A* search. 3) Other topics include simulated annealing search, genetic algorithms, and the MinMax algorithm. 4) Planning with state-space search and partial planning algorithms are also addressed. 5) The final questions concern inductive learning, classical planning problems, and neural networks.