Artificial Intelligence General Interview Preparation Guide
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AI General frequently Asked Questions by expert members with experience in Artificial Intelligence General. So get preparation for the AI General job interview

26 Artificial Intelligence General Questions and Answers:

1 :: What is a chatterbot?

chatterbot is a game
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2 :: Where to find specific information on Search Bots?

Check out ALICE and ELIZA bots are very good ...and we can
get more info on how to build in respective websites
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3 :: Suppose I have gmail account, I want to delete all the mails in my inbox having the same name(for eg., Orkut). I have thousands of mails like that. so, How can I delete all the mails having single name. Is there any option provided in Gmail?

Yes, its very easy ...just do one thing ..in the top of the
Inbox page there is a search box just search whatever you
want to delete then click .. after few sec all the mail with
concerned name get displayed .. just select them and delete
them .. as you delete your spam or other mails..
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4 :: Do Bots and Intelligent Agents have personalities and emotions?

IA is used to develop bots... and moreover how u program it
is very important.It uses NL and ML also.If a person uses
proper ontology then it can answer out.
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5 :: 2 Batsman are on 94 Notout,Need to win 7 Runs off 2 Balls,Both Hit a Century? How it is Possible?

First batsman hit 4 on no ball and then took a single on
next ball. Thus completed his century. Second batsman hit 6
on last ball and completed his century too.
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6 :: Suppose 2 batsmen each on 94. 7 runs to win in 3 balls. both make unbeaten 100. how?

Case 1: A batsman can be given out

1st batsman hits a six....gets caught on d nxt ball...crease
is changed....next batsman hits a six again...

Case 2: No batsman is out

1st batsman hits d ball n hits d keeper'ds helmet kept
behind...he also takes a single...6 runs are added to his
total making it 100...on d next ball ,2nd batsman hits a
six,making his score 100....as simpl as dat....
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7 :: What is Artificial Intelligence General?

Artificial intelligence ("AI") can mean many things to many people. Much confusion arises that the word 'intelligence' is ill-defined. The phrase is so broad that people have found it useful to divide AI into two classes: strong AI and weak AI.
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8 :: Can you please explain the difference between strong AI and weak AI?

Strong AI makes the bold claim that computers can be made to think on a level (at least) equal to humans. Weak AI simply states that some "thinking-like" features can be added to computers to make them more useful tools... and this has already started to happen (witness expert systems, drive-by-wire cars and speech recognition software). What does 'think' and 'thinking-like' mean? That's a matter of much debate.
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9 :: I am a programmer interested in AI. I am writing a game that needs AI. Where do I start?

It depends what the game does. If it's a two-player board game,look into the "Mini-max" search algorithm for games (see [4-1]). In most commercial games, the AI is is a combination of high-level scripts and low-level efficiently-coded, real-time, rule-based systems. Often, commercial games tend to use finite state machines for computer players. Recently, discrete Markov models have been used to simulate unpredictible human players (the buzzword compliant name being "fuzzy" finite state machines).

A recent popular game, "Black and White", used machine learning techniques for the non-human controlled characters. Basic reinforcement learning, perceptrons and decision trees were all parts of the learning system. Is this the begining of academic AI in video games?
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10 :: Explain the branches of AI?

There are many, some are 'problems' and some are 'techniques'.

Automatic Programming - The task of describing what a program should do and having the AI system 'write' the program.

Bayesian Networks - A technique of structuring and inferencing with probabilistic information. (Part of the "machine learning" problem).

Constraint Statisfaction - solving NP-complete problems, using a variety of techniques.

Knowledge Engineering/Representation - turning what we know about particular domain into a form in which a computer can understand it.

Machine Learning - Programs that learn from experience or data.

Natural Language Processing(NLP) - Processing and (perhaps) understanding human ("natural") language. Also known as computational linguistics.

Neural Networks(NN) - The study of programs that function in a manner similar to how animal brains do.

Planning - given a set of actions, a goal state, and a present state, decide which actions must be taken so that the present state is turned into the goal state

Robotics - The intersection of AI and robotics, this field tries to get (usually mobile) robots to act intelligently.

Speech Recogntion - Conversion of speech into text.
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