Rapid Fire on Artificial Intelligence

Basically, we have noticed that no technology can offer an easy and complete solution. Also, large systems are too costly. Although, they require significant development time and computer resources. Also, ESs have their limitations which include − Limitations of the technology Difficult knowledge acquisition ES are difficult to maintain High development cost When discussing the … Read more

Generally, ES users and ES itself uses User interface as a medium of interaction between users. Also, the user of the ES need not be necessarily an expert in Artificial Intelligence. Although, at a particular recommendation, it explains how the ES has arrived. Hence, the explanation may appear in the following forms − Basically, the … Read more

The components of AI expert systems include − Knowledge Base Inference Engine User Interface In artificial intelligence, expert systems are designed to emulate the decision-making ability of a human expert in a specific domain. The components of expert systems typically include: Knowledge Base: This is where all the relevant information, rules, facts, and heuristics about … Read more

The expert systems are capable of − Advising Instructing and assisting human in decision making Demonstrating Deriving a solution Diagnosing Explaining Interpreting input Predicting results Justifying the conclusion Suggesting alternative options to a problem. They are incapable of − Substituting human decision makers Possessing human capabilities Producing accurate output for inadequate knowledge base Refining their … Read more

High performance Reliable Highly responsive Understandable The correct answer to the characteristics of AI expert systems would typically include the following points: Knowledge Base: Expert systems contain a knowledge base that stores factual and heuristic knowledge relevant to a specific domain. This knowledge is typically derived from human experts in the field and is organized … Read more