Introduction To Artificial Intelligence: Application And Benefits To Human Life

INTRODUCTION TO ARTIFICIAL INTELLIGENCE: APPLICATION AND BENEFITS TO HUMAN LIFE

Title Page

Certification/Declaration

Approval Page

Dedication

Acknowledgement

Abstract

Table of content

Chapter 1

Introduction

1:1 Introduction

1:2 Background of the Study

1:3 Statements of Problems

1:4 Objectives of the Study

1:5 Research Question

1:6 Study of the Hypothesis

1:7 Significance of the Study

1:8 Justification of the Study

1:9 Scope of the Study

1:10 Definition of Terms

Chapter 2

Literature Review

2:0 Introduction

2:1 Conceptual Clarification

2:2 Theoretical Framework

2:3 Literatures on the Subject Matter

Chapter 3

Research Methodology

3:0 Area of Study

3:1 Source of Data

3:2 Sampling Techniques

3:3 Method Data Collection

3:4 Method of Data Analysis

3:5 Reliability of Instrument

3:6 Validity of Instrument

3:7 Limitations of the Study

Chapter 4

Data Analysis

4:0 Introduction

4:1 Finding of the Study

4:2 Discussion of the Study

4:3 Summary

Chapter 5

Summary, Conclusion and Recommendation

5:0 Summary of Findings

5:1 Conclusion

5:2 Recommendations

5:3 Proposal for Further Studies

Artificial intelligence (AI), sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals. In computer science AI research is defined as the study of “intelligent agents”: any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals. Colloquially, the term “artificial intelligence” is applied when a machine mimics “cognitive” functions that humans associate with other human minds, such as “learning” and “problem solving”.

The scope of AI is disputed: as machines become increasingly capable, tasks considered as requiring “intelligence” are often removed from the definition, a phenomenon known as the AI effect, leading to the quip, “AI is whatever hasn’t been done yet.” For instance, optical character recognition is frequently excluded from “artificial intelligence”, having become a routine technology. Modern machine capabilities generally classified as AI include successfully understanding human speech, competing at the highest level in strategic game systems (such as chess and Go), autonomously operating cars, and intelligent routing in content delivery networks and military simulations.

Artificial intelligence was founded as an academic discipline in 1956, and in the years since has experienced several waves of optimism, followed by disappointment and the loss of funding (known as an “AI winter”), followed by new approaches, success and renewed funding. For most of its history, AI research has been divided into subfields that often fail to communicate with each other. These sub-fields are based on technical considerations, such as particular goals (e.g. “robotics” or “machine learning”),the use of particular tools (“logic” or artificial neural networks), or deep philosophical differences.] Subfields have also been based on social factors (particular institutions or the work of particular researchers).[