1. In Adversarial search the goals of the adversaries are usually ___________ to each other

2. From discipline ____________ we have information about the network structure of a human brain and all the theories on functionalities of different human organs

3. Progressive deepening guarantees to find the solution at a minimum depth like

4. In adversarial search there may occur such a scenario where two opponents also called _____ are searching for goal.

5. IF temperature is below 0 THEN weather is cold The above rule is used to represent _______

6. Usually a _________ graph is chosen to represent a fuzzy set.

7. Which one of the following is involved in an ES development project:

8. In Depth First Search the node with the largest value of height will be at the _______ priority to be picked.

9. Procedures that search the solution space in an uninformed manner are usually costly with respect to _____.

10. ______ is the process of deriving logical conclusions from given facts.

11. ___________ reasoning is based on forming, or inducing a „generalization‟ from a limited set of observations.

12. In the statement “IF A THEN B”, B is called

13. Hill Climbing is basically a ------------- with a measure of quality that is assigned to each node in the tree.

14. An AI system has a ____________ component that allows the system to get information from its environment.

15. Try to catch out own thoughts as they go by is

16. Breadth-first search is a good idea when you are confident that the branching factor is _________

17. An AI system must form a meaningful and useful _____________ of the internal information.

18. Fuzzy logic is actually a superset of conventional Boolean logic

19. In general, the antecedent of a rule compares an object with a possible value, using an operator.

20. Intelligence is the characteristic of

21. The degree of truth that we have been talking about is specifically driven out by a function called the ___________ function.

22. If the antecedent is only partially true, then the output fuzzy set is truncated according to the _________ method

23. We can get optimal solution given some parameters using Genetic Algorithm.

24. In the worst case of semantic network, we may need to traverse the entire network and then discover that the requested info ________.

25. To infer new information from semantic networks, we can ask questions from nodes.

26. In Breadth First Search the node with the largest value of height will be at the _________ priority

27. The foothhill problem occurs whenever there are___________ peaks

28. In DFS node with the largest value of height will be at Priority

29. The Plateau problem comes up when there is a mostly flat area ___________ the peaks

30. By getting grips on ___________ that deal with searching techniques in graphs and trees, problem solving can be performed in an efficient manner.