By Hosam Dahb

Artificial Intelligence Technologies

in Business29-Jan-2012

Do You Know?

1 What is artificial

intelligence? 2Commercial

Applications of AI

3Expert Systems

and Fuzzy Logic

Artificial Intelligence

is a field of science and technology based on disciplines such as computer science, biology, psychology, mathematics, and engineering. The goal of AI is to develop computers that can simulate the ability to think, as well as see, hear, walk, talk, and feel

1

Attributes of Intelligent BehaviorThink and reason.Use reason to solve problems.Learn or understand from

experience.Acquire and apply knowledge.Express creativity and imagination.Deal with complex situations.Respond quickly and successfully to

new situations.Recognize the relative importance of

elements in a situation.Handle ambiguous and incomplete

information.

2COMMERCIAL APPLICATIONS OF AIAI systems can perform useful work in a very large and complex world Because these small software agents don’t have a complete representation of the world, they are uncertain about their actions. So they learn to understand the probabilities of various things happening to be self-aware.”

Commercial Applications of AI Decision Support

• Intelligent human–computer interface (HCI) • Situation assessment and resource allocation

software Information Retrieval

• AI-based intranet and Internet systems • Database mining for marketing trend analysis,

financial forecasting, maintenance cost reduction, and more.

Virtual Reality• Automated animation interfaces that allow users

to interact with virtual objects via touch (e.g., medical students can “feel” what it’s like to suture severed aortas).

Robotics• Cutting-edge robotics systems, from microrobots

and hands and legs to cognitive robotic and trainable modular vision systems.

3 Expert Systems & Fuzzy Logic Systems

» is a knowledge-based information system that uses its knowledge about a specific, complex application area to act as an expert consultant to end users.

» Benefits, it helps preserve and reproduce the knowledge of experts and allows a company to preserve the expertise of an expert before he leaves the organization.

» Limitations, limited focus, inability to learn, maintenance problems, and developmental cost. Expert systems excel only in solving specific types of problems in a limited domain of knowledge.

» Categories, Decision Management, Diagnostic/Troubleshooting, Design/Configuration, Selection/Classification and Process Monitoring/Control.

Expert Systems

Expert Systems

» is a method of reasoning that resembles human reasoning, in that it allows for approximate values and inferences and incomplete or ambiguous data instead of relying only on crisp data , such as binary (yes/no) choices.

Fuzzy Logic Systems

? Questions