Artificial Intelligence

Only available on StudyMode
  • Download(s) : 180
  • Published : August 2, 2012
Open Document
Text Preview
Kenya Methodist University DLM instructional material

KENYA METHODIST UNIVERSITY DLM BOOKLET FAULTY : COMPUTING AND INFORMATICS

DEPARTMENT

: COMPUTER SCIENCE

COURSE CODE COURSE NAME LECTURER CONTACT

: CISY422/BBIT333 : ARTIFICIAL INTELLIGENCE : ROBERT MUTUA MURUNGI : 0710 480 450, r_mutua@yahoo.com

1st edition ©2012

Artificial Intelligence by Robert Mutua Murungi – I.T Lecturer

1

Kenya Methodist University DLM instructional material

KENYA METHODIST UNIVERSITY
P.O. BOX 267 Meru 60200 Kenya Tel. +254-020-2118423/24/25/26/27 Fax. +254-064-30162 e-mail: info@kemu.ac.ke www.kemu.ac.ke NAIROBI CAMPUS KOINANGE STREEET P.O. BOX 45240-00100 Tel. +254-020-248172/247987 Fax: +254-020-248160 Email: nairobicampus@kemu.ac.ke Flexible Learning INSTRUCTIONAL MATERIAL FOR DISTANCE LEARNING STUDENTS

Artificial Intelligence by Robert Mutua Murungi – I.T Lecturer

2

Kenya Methodist University DLM instructional material BBIT 333/CISY 422 Introduction to Artificial Intelligence (3 credits) Prerequisite: MATH 211, CISY 101, SOST 136

Purpose of the course: This course is designed to introduce students to basic concepts in artificial intelligence and to explore artificial intelligence applications.

Expected learning outcomes of the course: At the end of the course the student should be able to:   Understand the design and implementation of intelligent agents Understand basic principles and applications of artificial intelligence

 Understand the basic areas of artificial intelligence including problem solving, knowledge representation, reasoning, decision making, planning, perception and action, and learning their applications.

Mode of delivery: Distance learning mode

Instructional materials and/or equipment:  A computer installed with a software machine learning tools such as WEKA

Course assessment:   Continuous assessment End of trimester examination 40% 60%

Artificial Intelligence by Robert Mutua Murungi – I.T Lecturer

3

Kenya Methodist University DLM instructional material Chapter one Introduction Introduction Human beings dominate over other animals by virtue of their intelligence. Primates are somewhat more intelligent than other animals. 1.1 What is Intelligence? There is no direct definition of this term but from a quick analysis of intelligent behavior, one can deduce some of the traits of Intelligence include Ability to:  Reason  Make conclusions  Learn from past experiences.  Solve problems with knowledge of few facts. 1.2 Definition of A.I. This is a branch of computer science concerned with the design and implementation of programs which are capable of emulating human cognitive skills such as problem solving, visual perception and natural language understanding. The ultimate goal of AI is to make machines that mimic human intelligence. They represent knowledge using symbols that represent concepts or objects that can be manipulated. They also use rules and heuristics for processing information. The ultimate level of intelligence is tested by the Turing test, where we use a human evaluator to try and distinguish conclusions arrived at by human experts and the computer. If the evaluator cannot easily recognize, then the system is said to be very intelligent. 1.2.1 Advantages of AI over natural intelligent  AI is more permanent  AI offers ease of duplication and dissemination  AI can be less expensive than natural intelligence  AI can be documented  AI can execute certain tasks much faster than a human can  AI is consistent and thorough 1.3 Historical perspectives In this section we trace the evolution of artificial intelligence. Some similar phenomena are included. Gestation period (1943 - 1956) Warren McCulloth & Walter Pitts (1943) proposed a model of artificial neurons. They also suggested that neural networks could learn.

Artificial Intelligence by Robert Mutua Murungi – I.T Lecturer

4

Kenya Methodist University DLM instructional material...
tracking img