Unit: 1

2 mark

1) What are the approaches followed to have AI?
2) Define AI.
3) Define Agent with a diagram.
4) What is a rational agent?
5) What are the elements of an agent?
6) State the factors that make up rationality.
7) Distinguish omniscience and rationality.
8) What is a task environment?
9) What is a PEAS description?
10) Write a PEAS description for an automated taxi?
11) Write a PEAS description for a vacuum cleaner?
12) Write a PEAS description for a wumpus world?
13) What is agent program and agent architecture?
14) What is a software agent?
15) State the difference between utility function and performance measure?
16) State the difference between agent function and agent program?
17) Give the steps adopted by a problem solving agent.
18) What is a fringe?
19) How is problem solving algorithm performance measured?
20) What are the components that a node represents in a search tree?
21) What is informed search?
22) What is local search?
23) What are the various types of informed search?
24) When A* is optimal?
25) What is admissible heuristic?
26) What is greedy best first search?
27) What is A* search?
28) What is SMA* search?
29) What are the types of memory bounded heuristic search?
30) What are the factors that affect the quality of a heuristic?
31) What is a local search algorithm?
32) What are the various local search algorithm?
33) What are the problems faced by a local search algorithm?
34) What are the components of a genetic algorithm?
35) What is online search and offline search?