Artificial Intelligence and Neural Networks
1 .What is AI? Explain different definition of AI with different application of AI.
2 .What is expert system? Explain the variuos stages of expert system.
3 .What are various heuristics search techniques? Explain how they are different from the search
4 .Describe the characteristics of Expert Systems.
5 .Write short note on the following: -
b. Expert system
c. Natural Language Processing
d. Vision of Speech Processing
6 .Describe the applications of Expert Systems.
7 .When would best-first search be worse than simple breadth-first search?
1. A problem-solving search can either forward or backward. What factors determine the choice
of direction for a particular problem?
2. What is knowledge Acquisition? What is its role in AI?
3. What do you understand by uniformed search? What are its advantages & disadvantages over
informed search? What is breadth first search better than depth first search better than depth first
and vice-versa? Explain.
Question No. 1 Marks - 10
What is Artificial intelligence?
- Putting your intelligence into Computer
- Programming with your own intelligence
- Making a Machine intelligent
- Playing a Game
Question No. 2 Marks - 10
Which is the best way to go for Game playing problem?
- Linear approach
- Heuristic approach
- Optimal approach
- Random approach
Question No. 3 Marks - 10
Which is not the commonly used programming language for AI?
Question No. 4 Marks - 10
Which search method takes less memory?
- Depth-First Search
- Breadth-First search
- Both (a) and (b)
- Linear Search.
Question No. 5 Marks - 10
A heuristic is a way of trying
- To discover something or an idea embedded in a program
- To search and measure how far a node in a search tree seems to be from a goal
- To compare two nodes in a search tree to see if one is better than the other
- Only (a), (b) and (c).
Question No. 6 Marks - 10
What is state space?
- The whole problem
- Your Definition to a problem
- Problem you design
- Representing your problem with variable and parameter
Question No. 7 Marks - 10
A production rule consists of
- A set of Rule
- A sequence of steps
- Arbitrary representation to problem
- Both (a) and (b)
Question No. 8 Marks - 10
Who is called the father of AI?
- James C Gosling
- Dennis Ritchie
- Alan Turing
- Isaac Newton
Question No. 9 Marks - 10
In AI ………………………. is a combination of data structures and interpretive procedures.
- Artificial Knowledge
Question No. 10 Marks - 10
The …………………… approach uses the knowledge of mathematics and engineering.
- push-pop approach
Question No. 11 Marks - 10
We also use knowledge about what we know, called ……………………..
- Performance Knowledge
- Standard knowledge
- Specific knowledge
Question No. 12 Marks - 10
The Artificial Intelligence is concerned with designing intelligent computer systems that exhibit intelligent characteristics expressed by …………………..
- Functional behaviour
- Human behaviour
- Human brain
- Statistical analysis
Question No. 13 Marks - 10
State whether the following true or false. i) AI is used in diverse fields like space exploration, robotics. ii) AI is used for military purpose
- i-True, ii-False
- i-True, ii-True
- i-False, ii-False
- i-False, ii-True
Question No. 14 Marks - 10
The goals of AI systems can be described in terms of cognitive tasks like
- Recognizing objects
- Answering questions
- Manipulating robotic devices
- All of the above
Question No. 15 Marks - 10
………………….. is computerized advice-giver, that is capable of reasoning but which is usually confined to a rather narrow field of knowledge.
- Expert system
- Knowledge system
- Common system
- Communication system
Question No. 16 Marks - 10
One method of programming a computer to exhibit human intelligence is called modeling on____________.
- more intelligence.
Question No. 17 Marks - 10
Shaping teaching techniques to fit the learning patterns of individual students in the goal of _______________.
- Automatic programming.
- Decision support.
- Intelligent computer assisted instruction.
- Expert systems.
Question No. 18 Marks - 10
What was originally called the imitation game by its creators?
- The Turing test.
- Cyber entices.
- The logic theorist.
Question No. 19 Marks - 10
The term artificial intelligence was coined by _____________.
- John MC Carthy.
- Marvin minsky.
- Natheniel Rochester.
- Claude Shannon.
Question No. 20 Marks - 10
Human brain has capacity to ____________.
- Learn and program.
Question No. 21 Marks - 10
An expert system differs from a database program if only an expert system__________.
- contains declarative knowledge.
- contains procedural knowledge.
- features the ret rival of sorted information.
- excepts users to draw their own conclusions.
Question No. 22 Marks - 10
Which of the following component is an expert system?
- Inference engine.
- Knowledge base.
- User interface.
Question No. 23 Marks - 10
In rule based system procedural domain knowledge is the form of_____________.
- production rules.
- rule interpreters.
- control rules.
- meta rules.
Question No. 24 Marks - 10
A________________is an integral part of developing an expert system.
- cognitive scientist.
- domain expert.
- knowledge engineer.
- software engineer.
Question No. 25 Marks - 10
A process that is repeated, evaluated, and refined is called___________.
Question No. 26 Marks - 10
A problem is first connected to the proposed solution during the_____________ stage.
Question No. 27 Marks - 10
Which of the following is the heuristic evaluation function?
- hill climbing search.
- breadth first
- depth first
- shortest path
Question No. 28 Marks - 10
Which is one of the brute force search technique.
- depth first search
- heuristic search
- best first search
- beam search
Question No. 29 Marks - 10
The speed of present day computers is expressed in the terms of ___________.
- million Instructions per hour.
- million Instructions per second.
- million Instructions per day.
- million Instructions per minute.
Question No. 30 Marks - 10
The most common methods of problem representation in AI are_____________.
- state space representation and problem.
- state space representation and representation.
- state space representation problem representation.
- state space representation and problem representation.
Question No. 31 Marks - 10
Basically the knowledge of an expert occupies three distinctive layers____________.
- factual knowledge, heuristic knowledge .
- factual knowledge, meta knowledge.
- factual knowledge, heuristic knowledge, meta knowledge.
- heuristic knowledge, meta knowledge.
Question No. 32 Marks - 10
LISP MACHINES also known as____________.
- AI workstations.
- super minicomputers.
- time sharing terminals.
- client machines.
Question No. 33 Marks - 10
Which of the following is an advantage of using an expert system development tool?
- Knowledge Engineering.
- Imposed Structure.
- Rapid Prototyping.
Question No. 34 Marks - 10
Which search technique imposes a fixed depth limit on a depth-first search.
- Depth first search
- Depth limited search.
- Breadth first search.
- Breadth limited search
Question No. 35 Marks - 10
The search which proceeds immediately to the deepest level of the search tree is _____________.
- uniformed Search.
- . breadth first search.
- . depth first search.
- uniform cost.
Question No. 36 Marks - 10
The simple strategy in which the root node is expanded first then all the successors and so on .this is called _____.
- informed search.
- breadth first search.
- uniform cost search.
- linear search.
Question No. 37 Marks - 10
The problem which aims to find the shortest tour in which each city must be visited exactly once is ________.
- robot navigation.
- traveling salesperson problem.
- nternet searching.
- search tree
Question No. 38 Marks - 10
A problem which is intended to illustrate or exercise various problems solving methods which give a concise exact description?
- Real-world problem.
- Toy problem
- 8-puzzle problem.
- 8-queen problem.
Question No. 39 Marks - 10
Which will provide patterns for arguments structures that always yielded correct conclusion when given premises is correct?
- Rational agent
Question No. 40 Marks - 10
The last component of the learning agent is __________.
- agent generator
- program generator.
- problem generator.
- output generator