An expert system that takes into account the constraints of schedules, previous commitments to training and programs that the post office employees must participate in on a periodic basis would all need to be taken into account. A constraint-based expert system would be able to optimize the staff levels, where a rules-based expert system would continually need to be updated to reflect the latest status and schedule of each person.
A c.
Identify potential criminals in an airport.
The use of an advanced AI system would be required specifically for this application as the many attributes, factors, variables and weightings of these specific data elements would need to be analyzed in conjunction with one another.
A d.
Investing in the stock market.
Actually these are systems in each of these categories specifically used for investing in and forecasting various aspects of the stock market. From decision support systems that can accumulate and analyze thousands of data feeds and factors to the development of expert systems that use constraint models to create scenarios, to the use of advanced AI systems that take all relevant factors into account in an attempt to both predict an index value in addition to a specific stock price, each of these technologies are extensively used. Of all approaches however the most prevalent and successful is the use of expert systems that can use constraints to define an upper- and lower level of performance for a given stock.
A e.
Hiring an employee for a technical job.
An expert system works best for this specific task as it can quickly define the requirements for the job and test skills, knowledge, and the problem...
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