1. Ontological engineering is concerned with:
A . Designing algorithms for planning
B . Representing knowledge using formal ontologies
C . Solving constraint satisfaction problems
D . Performing adversarial search
2. In knowledge representation, categories are used to:
A . Group objects with similar properties
B . Define algorithms for inference
C . Solve planning problems
D . Perform local search
3. Events in knowledge representation are:
A . Static entities
B . Dynamic entities that occur over time
C . Only mental constructs
D . Only physical objects
4. Mental events and mental objects are used to represent:
A . Physical phenomena
B . Cognitive processes and abstract concepts
C . Only planning problems
D . Only adversarial search problems
5. Reasoning systems for categories use:
A . Inheritance and hierarchical structures
B . Only propositional logic
C . Only first-order logic
D . Only constraint propagation
6. Reasoning with default information involves:
A . Making assumptions in the absence of complete information
B . Solving planning problems
C . Performing adversarial search
D . Using only propositional logic
7. Which of the following is true about ontological engineering?
A . It focuses on representing knowledge using formal ontologies
B . It is only applicable to planning problems
C . It does not involve reasoning systems
D . It is unrelated to categories and objects
8. In knowledge representation, a category is:
A . A group of objects with similar properties
B . A dynamic entity
C . A mental construct
D . A planning algorithm
9. Mental objects are used to represent:
A . Abstract concepts and cognitive processes
B . Only physical objects
C . Only events
D . Only planning problems
10. Reasoning with default information is useful when:
A . Complete information is unavailable
B . Only physical objects are involved
C . Only mental events are involved
D . Only planning problems are involved
11. Classical planning involves:
A . Finding a sequence of actions to achieve a goal
B . Solving constraint satisfaction problems
C . Performing adversarial search
D . Using only propositional logic
12. State-space search in classical planning involves:
A . Exploring possible states and actions
B . Solving constraint satisfaction problems
C . Performing adversarial search
D . Using only first-order logic
13. A planning graph is used to:
A . Represent possible states and actions in a compact form
B . Solve constraint satisfaction problems
C . Perform adversarial search
D . Use only propositional logic
14. Which of the following is NOT a classical planning approach?
A . State-space search
B . Planning graphs
C . Adversarial search
D . Partial-order planning
15. The analysis of planning approaches involves:
A . Evaluating their efficiency and completeness
B . Solving constraint satisfaction problems
C . Performing adversarial search
D . Using only propositional logic
16. In classical planning, a goal is:
A . A desired state to be achieved
B . A sequence of actions
C . A constraint satisfaction problem
D . An adversarial search problem
17. Which of the following is true about planning graphs?
A . They provide a compact representation of states and actions
B . They are only used in adversarial search
C . They do not involve state-space search
D . They are unrelated to classical planning
18. Partial-order planning is a classical planning approach that:
A . Allows flexibility in the order of actions
B . Requires a fixed sequence of actions
C . Is only applicable to adversarial search
D . Does not involve state-space search
19. The efficiency of a planning algorithm depends on:
A . The size of the state space and the branching factor
B . The complexity of the goal
C . The number of constraints
D . The type of adversarial search
20. Which of the following is true about classical planning?
A . It involves finding a sequence of actions to achieve a goal
B . It is only applicable to constraint satisfaction problems
C . It does not involve state-space search
D . It is unrelated to planning graphs
21. Ontological engineering focuses on representing knowledge using __________.
22. Categories are used to group objects with similar __________.
23. Events are dynamic entities that occur over __________.
24. Mental events and mental objects represent __________ processes and abstract concepts.
25. Reasoning systems for categories use __________ and hierarchical structures.
26. Reasoning with default information involves making __________ in the absence of complete information.
27. Ontological engineering is concerned with the design of __________ for knowledge representation.
28. A category is a group of objects with similar __________.
29. Mental objects are used to represent __________ concepts and cognitive processes.
30. Reasoning with default information is useful when __________ information is unavailable.
31. Classical planning involves finding a sequence of __________ to achieve a goal.
32. State-space search in classical planning explores possible __________ and actions.
33. A planning graph provides a compact representation of __________ and actions.
34. Partial-order planning allows flexibility in the __________ of actions.
35. The analysis of planning approaches evaluates their __________ and completeness.
36. In classical planning, a goal is a desired __________ to be achieved.
37. Planning graphs are used to represent __________ and actions in a compact form.
38. Partial-order planning is a classical planning approach that allows flexibility in the __________ of actions.
39. The efficiency of a planning algorithm depends on the size of the __________ and the branching factor.
40. Classical planning involves finding a sequence of __________ to achieve a goal.
☞ Artificial Intelligence (AI) MCQs - Unit-1 - [ Artificial Intelligence ]
☞ Artificial Intelligence (AI) MCQs - Unit-2 - [ Artificial Intelligence ]
☞ Artificial Intelligence (AI) MCQs - Unit-3 - [ Artificial Intelligence ]
☞ Artificial Intelligence (AI) MCQs - Unit-4 - [ Artificial Intelligence ]
☞ Artificial Intelligence (AI) MCQs - Unit-5 - [ Artificial Intelligence ]
☞ R - Programming MCQs - Unit-1 - [ R-Programming ]
☞ R - Programming MCQs - Unit-2 - [ R-Programming ]
☞ R - Programming MCQs - Unit-3 - [ R-Programming ]
☞ R - Programming MCQs - Unit-4 - [ R-Programming ]
☞ R - Programming MCQs - Unit-5 - [ R-Programming ]
☞ Formal Languages and Automata Theory (FLAT) MCQs - Unit-1 - [ FLAT ]
☞ Formal Languages and Automata Theory (FLAT) MCQs - Unit-2 - [ FLAT ]
☞ Formal Languages and Automata Theory (FLAT) MCQs - Unit-3 - [ FLAT ]
☞ Formal Languages and Automata Theory (FLAT) MCQs - Unit-4 - [ FLAT ]
☞ Formal Languages and Automata Theory (FLAT) MCQs - Unit-5 - [ FLAT ]
☞ PPS MCQs - Unit-1 - [ PPS ]
☞ PPS MCQs - Unit-2 - [ PPS ]
☞ PPS MCQs - Unit-3 - [ PPS ]
☞ PPS MCQs - Unit-4 - [ PPS ]
☞ PPS MCQs - Unit-5 - [ PPS ]
☞ Object Oriented Programming through Java MCQs - Unit-1 - [ OOP_JAVA ]
☞ Object Oriented Programming through Java MCQs - Unit-2 - [ OOP_JAVA ]
☞ Object Oriented Programming through Java MCQs - Unit-3 - [ OOP_JAVA ]
☞ Object Oriented Programming through Java MCQs - Unit-4 - [ OOP_JAVA ]
☞ Object Oriented Programming through Java MCQs - Unit-5 - [ OOP_JAVA ]
☞ Design and Analysis of Algorithms MCQs - Unit-1 - [ DAA ]
☞ Design and Analysis of Algorithms MCQs - Unit-2 - [ DAA ]
☞ Design and Analysis of Algorithms MCQs - Unit-3 - [ DAA ]
☞ Design and Analysis of Algorithms MCQs - Unit-4 - [ DAA ]
☞ Design and Analysis of Algorithms MCQs - Unit-5 - [ DAA ]
☞ Software Engineering MCQs - Unit-1 - [ SE ]
☞ Software Engineering MCQs - Unit-2 - [ SE ]
☞ Software Engineering MCQs - Unit-3 - [ SE ]
☞ Software Engineering MCQs - Unit-4 - [ SE ]
☞ Software Engineering MCQs - Unit-5 - [ SE ]
☞ Data Mining MCQs - Unit-1 - [ DM ]
☞ Data Mining MCQs - Unit-2 - [ DM ]
☞ Data Mining MCQs - Unit-3 - [ DM ]
☞ Data Mining MCQs - Unit-4 - [ DM ]
☞ Data Mining MCQs - Unit-5 - [ DM ]
☞ Computer Organization and Architecture (COA) Objective Question Bank-Unit-1 - [ COA ]
☞ Computer Organization and Architecture (COA) Objective Question Bank-Unit-2 - [ COA ]
☞ Computer Organization and Architecture (COA) Objective Question Bank-Unit-3 - [ COA ]
☞ Computer Organization and Architecture (COA) Objective Question Bank-Unit-4 - [ COA ]
☞ Computer Organization and Architecture (COA) Objective Question Bank-Unit-5 - [ COA ]
☞ Data Structures Objective Type Question Bank-Unit-1 - [ DS ]
☞ Data Structures Objective Type Question Bank-Unit-2 - [ DS ]
☞ Data Structures Objective Type Question Bank-Unit-3 - [ DS ]
☞ Data Structures Objective Type Question Bank-Unit-4 - [ DS ]
☞ Data Structures Objective Type Question Bank-Unit-5 - [ DS ]
☞ Database Management System Objective Type Question Bank-Unit-1 - [ DBMS ]
☞ Database Management System Objective Type Question Bank-Unit-2 - [ DBMS ]
☞ Database Management System Objective Type Question Bank-Unit-3 - [ DBMS ]
☞ Database Management System Objective Type Question Bank-Unit-4 - [ DBMS ]
☞ Database Management System Objective Type Question Bank-Unit-5 - [ DBMS ]