Docsity
Docsity
Prepare for your exams
Prepare for your exams

Study with the several resources on Docsity

Earn points to download
Earn points to download

Earn points by helping other students or get them with a premium plan

Guidelines and tips
Guidelines and tips
Sell on Docsity
Sell on Docsity
Docsity AI
Docsity AI
Log inSign up

Prepare for your exams

Study with the several resources on Docsity

Find documents

Prepare for your exams with the study notes shared by other students like you on Docsity

Search for your university

Find the specific documents for your university's exams

Docsity AINEW

Summarize your documents, ask them questions, convert them into quizzes and concept maps

Explore questions

Clear up your doubts by reading the answers to questions asked by your fellow students

Earn points to download

Earn points by helping other students or get them with a premium plan

Share documents
download point icon20 Points

For each uploaded document

Answer questions
download point icon5 Points

For each given answer (max 1 per day)

All the ways to get free points
Get points immediately

Choose a premium plan with all the points you need

Study Opportunities

Choose your next study program

Get in touch with the best universities in the world. Search through thousands of universities and official partners

Community

Ask the community

Ask the community for help and clear up your study doubts

Free resources

Our save-the-student-ebooks!

Download our free guides on studying techniques, anxiety management strategies, and thesis advice from Docsity tutors

Artificial Intelligence: Understanding the Concept, Types and Applications, Assignments of Artificial Intelligence

Kuala Lumpur Infrastructure University CollegeArtificial Intelligence

An overview of Artificial Intelligence (AI), explaining its concept, applications in various fields, and the different types of intelligent agents and machine learning. AI in education, automobile industry, security, healthcare, business, gaming, entertainment, manufacturing, sports, travel and tourism. It also discusses the concept of intelligence agents and their types: learning agent, reflex agent, model-based agent, goal-based agent, and utility-based agent. Furthermore, it introduces machine learning and its types: supervised learning, unsupervised learning, semi-supervised learning, and reinforcement learning.

Typology: Assignments

2020/2021

Uploaded on 04/28/2021

samir-shrestha
samir-shrestha 🇲🇾

5

(2)

5 documents

1 / 6

Toggle sidebar

This page cannot be seen from the preview

Don't miss anything!

bg1
Program Name: BCS(HONS)
Course Code: CSC 3200
Course Name: Artificial Intelligent
Assignment / Lab Sheet / Project / Case Study No. 1
Date of Submission: 11/30/2020
Submitted By: Submitted To:
Student Name: Samir Shrestha Faculty Name: Prakash Chandra
IUKL ID: 04180290034 Department: Computer Science
Semester: V
Intake: September 2018
pf3
pf4
pf5

Partial preview of the text

Download Artificial Intelligence: Understanding the Concept, Types and Applications and more Assignments Artificial Intelligence in PDF only on Docsity!

Program Name: BCS(HONS) Course Code: CSC 3200 Course Name: Artificial Intelligent Assignment / Lab Sheet / Project / Case Study No. 1 Date of Submission: 11/30/ Submitted By: Submitted To: Student Name: Samir Shrestha Faculty Name: Prakash Chandra IUKL ID: 04180290034 Department: Computer Science Semester: V Intake: September 2018

  1. Explain the concept of artificial intelligence. Explain the application of AI in various fields. Artificial intelligence is defined as a branch of computer science where a machine mostly computer is able to respond intelligently. In a lament terms, it is process of making computers think like human beings. The primary motive of artificial intelligence is to track and disintegrate the pattern in the given data and then come up with a feasible knowledge based on the pattern to predict and answer business questions, study trends and give analytical insight to the user. Artificial Intelligence is the prime player in large sector of our daily lives. Some of the application of different fields are explained below: a. AI in Education: AI is a game changer in every field it gets into and the sector of education isn’t untouched. With the power fetched by AI, one can automate the managerial, administrative and tutoring actions. One can automatically manage students, teachers and faculty, automate grading, set automated papers, build virtual or physical robotic assistant both for the tutors and students and the scope are endless. b. AI in Automobile Industry: With the excellency of the artificial intelligence and development of it’s limitation, automobile industry can prosper significantly. Currently, there are development in self-driving cars, shortest path finder, gesture and voice control driving experiences and many more. c. AI in Security: Though AI is still new to the security world but has tons of use cases available with few already built and some in development. You can always use AI to detect anomalies in system before anything goes wrong. AI are used in shops and airport to detect behavioral anomalies in customers through behavior detection. d. AI in Healthcare: AI is turning out to be very helpful in the field of healthcare sector. AI is widely used in healthcare sector to detect diseases beforehand with accuracy for better treatment facility. Even the developed VR and AR system can duplicate the condition of patient to such precision for the doctors to examine various treatment methods and suggest the best one without any risk of experimenting physically.
  1. Explain the concept of intelligence agent? With example explain different types of intelligent agent Intelligence agent is defined as an independent entity that is responsible to achieve the goal based on observation of fed data and environment. An intelligence agent runs in a cycle of perceiving, thinking and acting. They are also known as bots. There various types of intelligent agent based on their functionalities. They are explained as follows: a. Learning agent: The agents which are capable of improving themselves over time is known as learning agent. They gradually turn more knowledgeable because of it’s additional time in the environment enabling it to add more learning weights. They improve in their accuracy of action performed. They are most suitable in reinforcement learning. b. Reflex agent: Reflex agent is one of the most basic agent that acts upon the current state in the environment. These agents scan the change in the environment instantly and computes the most optimum respond based on the predefined rules. They are mostly used in chess games, et cetera. c. Model-based agent: The agent that is limited to a predefined world is known as model-based agent. These agents uses it’s history and internal memory to make it’s decisions for a particular model of the environment. These agents require information like it’s affect to the world and how the world evolves without it to update.

d. Goal-base agent: The agents that are driven by their ultimate goal is known as goal-based agents. These agents act as per their present state, their goal and the difference between them. The main objective of such agent is to reduce the distance to the goal upon each of their decisions. These agents are used in supervised learning as they require planning and research for update. e. Utility-based agent: The agents that are driven by their goal but also provide extra utility on the process is known as utility-based agent. These agents are similar to goal-based agents but the difference between them is goal-base agent are solely driven by their goal, but utility-based agent acts upon the best possible way to achieve the goal over the possible choices. These agents are useful in unsupervised learning.