1401332
-
3
-
Introduction to Artificial Intelligence (3 credits)
Coordinator: Muhammad Arif
Catalog Description
This course introduces basics of Artificial Intelligence, concept of Intelligent agents and various types of agents. It inclu
des
various search
techniques, Propositional logic and First order logic. It further introduces the concept of knowledge engineering
and inference systems.
Prerequisites
1401310
-
3
–
䍯Cpile爠䍯湳t牵rti潮
M aj潲oT潰ics 䍯癥牥搠i渠n桥⁃潵牳e
ㄴ⁷ee欠kemeste爩r
Topic
Week
Introduction to AI
History of AI
AI Domains
AI Applications
Intelligent Agents and Environment
Structure of Different type of Agents
Problem Solving through search
(i) Un
-
informed search (BFS, DFS, Depth First, Depth limited and iterative deepening search)
(ii) Informed Search (Greedy best first search, A* search, Heuristics)
(iii) Local Search Algorithms (Hill Climbing, Simulated Annealing)
Adversarial Search (Minimax Algorithm, Alpha Beta Pruning, Chance Minimax)
Logical Agents (knowledge based agents, pr
opositional logic, First Order Logic, Knowledge
Engineering in FOL
Inference in FOL
Weekly Hours
3 x 50 mins lectures, 0 lab hours
Textbook/References
Artificial Intelligence: A Modern Approach 3rd Edition, Russell & Norvig, 2009, Prentice Hall, ISBN
0136042597
Assessment Methods
Assignments, Quizzes, Discussion Group, Project, Midterm, Final Exam
Course Learning Outcomes (CLOs)
1.
Students will learn basics of AI, Intelligent Agents and their different types and
applications.
2.
They will learn in detail
different search techniques including uninformed search,
heuristic search, adversarial search that can be used in Game playing and other AI
applications.
1.
Students will learn logical agents, first order logic and first order inference system.
Enter the password to open this PDF file:
File name:
-
File size:
-
Title:
-
Author:
-
Subject:
-
Keywords:
-
Creation Date:
-
Modification Date:
-
Creator:
-
PDF Producer:
-
PDF Version:
-
Page Count:
-
Preparing document for printing…
0%
Σχόλια 0
Συνδεθείτε για να κοινοποιήσετε σχόλιο