Artificial intelligence is not simply a topic for films or s

Artificial intelligence is not simply a topic for films or science fiction novels; it is a legitimate part of information systems management. In this assignment, you will consider what it would be like to use some of these AI agents in a system.

Explain whether you would incorporate an expert system into a DSS.

Describe the pros and cons of working with intelligent agents (bots).

Compare two of the AI technologies that most excite you, and outline their applications in relation to decision-making.

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Solution

What is DSS :-

It helps in decision making when trying to figure out the solution for a non-structured decision. Focuses on problems that are unique, non-routine & rapidly changing.

What is Expert System:-

Major roles of individuals who interact with the system – Domain expert – Knowledge engineer – User

The major components are:

• Knowledge base

• Working storage

• Inference engine

Both expert systems and decision support systems attempt to use software to improve decision making.

Expert systems were first developed by computer scientists;

decision support systems by management researchers.

Using a business decision support system is still looked upon skeptically by some managers. Using an \"expert system\" seems almost insulting to those managers.

Hence it is easy for some to dismiss business expert systems as unnecessary, impractical, unreliable and even disrespectful. \"Smart\" computers are not and should not replace \"smart\" decision makers, but the technologies of \"expert systems\" can be useful in supporting decision makers.

Most sources view an expert system as a category of software that \"attempts to reproduce the performance of one or more human experts, most commonly in a specific problem domain.\" Expert systems is a traditional subfield of Artificial Intelligence research in Computer Science.

A common question of students and managers is the relationship between DSS and Expert Systems

Both systems can help managers. Expert Systems provide one source of technologies for building Decision Support Systems -- I call those systems Knowledge-driven DSS. A Knowledge-driven DSS may still be a \"scary\" thought, but it seems somehow less intimidating and insulting. Integration of expert system technologies may occur in some other types of DSS.

Advantages of using expert systems technologies to support decision-making include:

1) providing consistent answers for repetitive decisions, processes, and tasks.

2) organizing and maintaining a significant amount of domain specific information.

3) encouraging managers to clarify the logic of their decision-making, and 4) remembering to ask all relevant questions.

Disadvantages of expert systems listed in Wikipedia include:

1) lacks common sense needed in some decision making.

2) cannot make creative responses as a human expert would in unusual circumstances.

3) domain experts not always able to explain their logic and reasoning.

4) errors may occur in the knowledge base and lead to wrong decisions, and

5) cannot adapt to changing environments, unless knowledge base is changed. Overall these five disadvantages are limitations rather than reasons not to use the technologies.

Expert systems and decision support systems were both conceived of as technology tools to help people make better decisions. Neither was or is intended to replace human decision makers. A broader toolset is used for DSS and business oriented expert systems may be classified as DSS, Knowledge-driven DSS.

I try to give you brief about this if you have any qurey feel free to reach out.

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