Basically, it is possible to interact with the computer. Also, they understand only natural language which human use to spoke.
b. Gaming
In strategic games, AI plays a crucial role. Such as chess, poker, tic-tac-toe, etc., As applications presents which integrate machine, software to impart reasoning and advising. They provide explanation and advice to the users.
c. Speech Recognition
Basically, systems capable of hearing the language. And also their meanings while human talks to it.
Artificial Intelligence Interview Questions
a. Strong artificial intelligence
Basically, it deals with the creation of real intelligence artificially. Also, strong AI believes that machines can be made sentient.
There are two types of strong AI: Human-like AI In this computer program thinks and reasons for the level of human being. Non-human-like AI In this computer program develops a non-human way of thinking and reasoning.
b. Weak artificial intelligence
As a result, it doesn’t believe creating human-level intelligence in machines is possible. Although, AI techniques can be developed to solve many real-life problems.
Q3 : What are the Branches Of Ai?
A : 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 conferencing with probabilistic information. (Part of the “machine learning” problem).
Constraint Satisfaction: 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 Recognition: Conversion of speech into text.
Q4 : What is a Chatterbot?
A : Chatterbot is a game
Q5 : What is Artificial Intelligence?
A : Artificial Intelligence is an area of computer science that emphasizes the creation of an intelligent machine that works and reacts like humans.
Q6 : Which is not a commonly used Programming Language for AI?
A : Perl language is not commonly used programming language for AI.
Q7 : What is a Neural Network in Artificial Intelligence?
A : In artificial intelligence, a neural network is an emulation of a biological neural system, which receives the data, process the data and gives the output based on the algorithm and empirical data.
Q8 : What does Partial Order or Planning Involve?
A : In partial-order planning, rather than searching over the possible situation it involves searching over the space of possible plans. The idea is to construct a plan piece by piece.
Q9 : What is Ai?
A : 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.
Q10 : What is the Difference between Classical Ai and Statistical Ai?
A : Statistical AI, arising from machine learning, tends to be more concerned with “inductive” thought: given a set of patterns, induce the trend. Classical AI, on the other hand, is more concerned with “deductive” thought: given a set of constraints, deduce a conclusion. Another difference, as mentioned in the previous question, is that C++ tends to be a favorite language for statistical AI while LISP dominates in classical AI.
A system can’t be truly intelligent without displaying properties of both inductive and deductive thought. This leads many to believe that in the end, there will be some kind of synthesis of statistical and classical AI.
Q11 : What Are The Undesirable Properties Of Knowledge?
A : Following are the undesirable properties of knowledge:
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- Voluminous: Knowledge may become voluminous
- Difficult to characterize: It is difficult to characterize the knowledge accurately
- Variability: Knowledge has a property that it may change over the time
- Variation in usage: Knowledge may be used in some other way than the way in which data is organized.
Q12 : How Many Types Of Entities Are There In Knowledge Representation?
A : There are two types of entities in knowledge representation:
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- Facts: These are truths that need to be represented
- Symbols: It is a form of representation of facts and it is manipulated by the programs to derive new facts
Q13 : What is Relational Knowledge?
A : It is a knowledge representation scheme in which facts are represented as a set of relations. For example knowledge about players can be represented using a relation called “player” having three fields: player name, height, and weight. This form of knowledge representation provides weak inferential capabilities when used as standalone but are useful as an input for sophisticated inferential procedures.
Q14 : What are the various areas where Ai (artificial Intelligence) can be used?
A : Artificial Intelligence can be used in many areas like Computing, Speech recognition, Bio-informatics, Humanoid robot, Computer software, Space and Aeronautics’s etc.
Q15 : Which Search Method takes less Memory?
A : The “depth first search” method takes less memory.
Q16 : What is a Top-down Parser?
A : A top-down parser begins by hypothesizing a sentence and successively predicting lower level constituents until individual pre-terminal symbols are written.
Q17 : To Answer any Query How the Bayesian Network can be used?
A : If a Bayesian Network is a representative of the joint distribution, then by summing all the relevant joint entries, it can solve any query.
Q18 : In Artificial Intelligence, What do Semantic Analysis used for?
A : In Artificial Intelligence, to extract the meaning from the group of sentences semantic analysis is used.
Q19 : What is a Heuristic Function?
A : A heuristic function ranks alternatives, in search algorithms, at each branching step based on the available information to decide which branch to follow.
Q20 : What does a Production Rule Consist of?
A : The production rule comprises of a set of rule and a sequence of steps.
Q21 : What is Agent in Artificial Intelligence?
A : Anything perceives its environment by sensors and acts upon an environment by effectors are known as Agent. Agent includes Robots, Programs, and Humans etc.
Q22 : Which Property is Considered as not a Desirable Property of a Logical Rule-based System?
A : “Attachment” is considered as not a desirable property of a logical rule based system.
Q23 : What is a Top-down Parser?
A : A top-down parser begins by hypothesizing a sentence and successively predicting lower level constituents until individual pre-terminal symbols are written.
Q24 : What is Inheritable Knowledge?
A : It is a knowledge representation scheme in which knowledge is represented using objects, their attributes and corresponding value of the attributes. The relation between different objects is defined using a “isa” property. For example if two entities “Adult male” and “Person” are represented as objects then the relation between the two is that Adult male “isa” person.
Q25 : Do Bots And Intelligent Agents Have Personalities And Emotions?
A : 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.