1.Define Agent, PEAS

Ans:

Agent: An agent is anything in environment which is capable of acting upon the information it perceives. And an Intelligent agent is agent is capable of making decisions about how it acts, based on experience.

PEAS: PEAS stands for Performance Measures, Environment, Actuators, and Sensors. It is a short form used for performance issues grouped under task environment
a) Performance -> It judges the performance of an agent.
b) Environment -> Real environment where the agent works. It basically consists of all the things under which the agents work.
c) Actuator -> Output of the agent. They are tools or equipment’s to perform an action.
d) Sensor -> Input to the agent. They are tools or equipment’s that capture the state of the environment.

2.What is Artificial Intelligence?

Ans:

a)b)Artificial Intelligence is intelligent entity created by humans.
b)It is Capable of performing tasks intelligently without being explicitly instructed.
c)And also Capable of thinking and acting rationally and humanely.

3.What are the applications of Artificial Intelligence?

Ans:

a) Google Search Engine: When we start writing something on the google search engine, we immediately get the relevant recommendations from google, and this is because of different AI technologies.
b) Ridesharing Applications: Different ride-sharing applications such as Uber uses AI and machine learning to determine the type of ride, minimize the time once the car is hailed by the user, price of the ride, etc.
c) Spam Filters in Email: The AI is also used for email spam filtering so that you can get the important and relevant emails only in your inbox. As per the studies, Gmail successfully filters 99.9% of spam mails.
d) Social Networking: Different social networking sites such as Facebook, Instagram, Pinterest, etc., use the AI technology for different purposes such as face recognition and friend suggestions, when you upload a photograph on Facebook, understanding the contextual meaning of an emoji in Instagram, and so on.
e) Product recommendations: When we search for a product on Amazon, we get the recommendation for similar products, and this is because of different ML algorithms. Similarly, on Netflix, we get personalized recommendations for movies and web series.

4.Types of Environments, Agent?

Ans:

Types of Environments:
    a) Fully observable (vs Partial observable)
    b) Single agent (vs multi agent)
    c) Deterministic (vs stochastic)
    d) Episodic (vs Sequential)
    e) Static (vs Dynamic)
    f) Discrete (vs Continuous)
     g) Known (vs Unknown)
Types of Agents:
    a) Simple reflex agent
    b) Model-based reflex agent
    c) Goal-based agents
    d) Utility-based agents
    e) Learning agent

5.Explain soft computing and hard computing

Ans:

Soft Computing could be a computing model evolved to resolve the non-linear issues that involve unsure, imprecise and approximate solutions of a tangle. These sorts of issues square measure thought of as real-life issues wherever the human-like intelligence is needed to resolve it.

Hard Computing is that the ancient approach employed in computing that desires Associate in Nursing accurately declared analytical model. the outcome of hard computing approach is a warranted, settled, correct result and defines definite management actions employing a mathematical model or algorithmic rule. It deals with binary and crisp logic that need the precise input file consecutive. Hard computing isn’t capable of finding the real-world problem’s solution.

6.What is Rational Agent?

Ans:

T If an Agent makes a decision based on some logical reasoning, then the decision is called Rational decision. A Rational agent is which does “right” things and acts rationally so as to achieve best outcomes even there is uncertainty in knowledge based on his/her experience