Page 10 - DCAP310_INTRODUCTION_TO_ARTIFICIAL_INTELLIGENCE_AND_EXPERT_SYSTEMS

Introduction to Artificial Intelligence & Expert Systems

Notes 1.2 Importance of Artificial Intelligence

Artificial Intelligence deals with study and building of rational systems. The Artificial Intelligence
has the following advantages:

(i) This method is more general as compared to the laws of thought method.
(ii) This method responds to science than to the methods based on human behaviour or
thought.

(iii) The first computer program introduced to beat the champion chess player was Hitech.
Limited intellectual skills are required for the chess strategies.
(iv) Artificial Intelligence is divided into many branches. Artificial Intelligence search programs
to study the various probabilities which include chess game moves. Different ways are
being set up to carry out more proficiently. Logical Artificial Intelligence deals with
mathematical logical program. A program of pattern recognition studies and compares
with a particular pattern. It matches the eyes and nose to the face of a police id. Epistemology
deals with the study of different types of knowledge required to solve problems.
(v) Currently, voice recognition program failed to recognize every word but is slowly leading
towards improvement. This idea guide disabled people to utilize computers.
(vi) Now computers perform many tasks that were beyond our imagination. By 2020, computers
will be more intelligent than the mankind. Due to these advances we will not be inferior
to computers as we can turn it off when it fails to perform.

1.2.1 Artificial Intelligence in Manufacturing

AI in manufacturing is wide. It can be described an interactive note-taking system for pen-based
computers with two distinctive features. The system is an example of a learning apprentice
software-agent. A machine learning component characterises the syntax and semantics of the
users information. In machine learning that acquires knowledge for some of the higher level
processing; it was found that performance equals that of a partially trainable discourse module
requiring manual customisation for each domain. The central assumption of the model is that
the learner is embedded within an environment of related learning tasks. Explicit bounds were
also derived demonstrating that learning multiple tasks within an environment of related tasks
could potentially give much better generalization than learning a single task.
Knowledge and Intelligence are as fundamental as the universe within which they exist, it may
turn out that they are more fundamental. Enterprises that utilize AI-enhanced applications are
expected to become more diverse, as the needs for the ability to analyze data across multiple
variables, fraud detection and customer relationship management emerge as key business drivers
to gain competitive advantage. Artificial Intelligence is a branch of Science which deals with
helping machines, finds solutions to complex problems in a more human-like fashion. This
generally involves borrowing characteristics from human intelligence, and applying them as
algorithms in a computer-friendly way. A more or less flexible or efficient approach can be
taken depending on the requirements established.

1.2.2 Artificial Intelligence in Financial Services

Banks use artificial intelligence systems to organize operations, invest in stocks and manage
properties. In August 2001, robots beat humans in a simulated financial trading competition.
Financial institutions have long used artificial neural network systems to detect charges or
claims outside of the norm, flagging these for human investigation.

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