Intelligent agent doubt-information systems

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In summary, the study used a combination of inductive and deductive approaches to establish design criteria for executive level software agents. The minimum criteria includes understanding executives' requirements and specifically what information they expect from the agents. Individual interviews with key players followed by small group interviews with executive users are preferred over focus groups and group questionnaires. The methodology may be biased towards a preordained design rather than extracting requirements from end users.
  • #1
shivajikobardan
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Homework Statement
what is minimum requirement vs specific requirements to be called in as intelligent agent for any software code piece?
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https://uobrep.openrepository.com/b...d=16B243A8F6C1FC1242A75969D18D00B7?sequence=5

here is some information.

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I am unable to figure out which one is minimum requirement??and which one is specific requirement.
 
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From the abstract:
The study adopted an inductive approach using focus groups to generate a preliminary set of design criteria of “ideal” agents. It then followed a deductive approach using semi-structured interviews to validate and enhance the criteria.

Minimum design criteria for executive level software agents includes thoroughly understanding the executives' requirements, and specifically, what information the execs expect to receive from the agents.

Structured interviews with principal and actual users provides data to establish scope, limits and objectives of the basic software design. Conducting focus groups prior to establishing these basic criteria introduces potential bias in later respondents.

I prefer individual interviews with key players, followed by interviews with small groups of executive users, followed by group meetings. Focus groups and group questionnaires may proceed concurrently with interviews with the responses to initial interviews used to tune; that is, focus discussion. Again, the object remains to avoid biasing requirements development to fit a presupposed 'ideal'.

The methodology outlined in the introduction appears ideal for software engineers to sell a preordained design to the executive committee rather than extract basic requirements from end users, depending on focus group structure and whether the execs develop agent architecture in-house or via contract.
 

1. What is an intelligent agent in information systems?

An intelligent agent in information systems is a software program that is designed to perform specific tasks on behalf of a user or another program. It uses artificial intelligence and machine learning techniques to make decisions and take actions based on its programming and the data it receives.

2. How does an intelligent agent make decisions?

An intelligent agent makes decisions by using algorithms and rules that are programmed into it. It can also learn from its interactions and experiences, making it more efficient and effective over time.

3. What are the benefits of using intelligent agents in information systems?

Intelligent agents offer many benefits in information systems, including increased efficiency, improved decision-making, and the ability to handle complex tasks and large amounts of data. They can also reduce human error and automate repetitive tasks, freeing up time for users to focus on more important tasks.

4. Are there any potential drawbacks to using intelligent agents in information systems?

While intelligent agents have many benefits, there are also potential drawbacks to consider. These can include the cost of development and maintenance, the potential for bias or errors in decision-making, and the ethical implications of delegating tasks to machines.

5. How are intelligent agents used in real-world applications?

Intelligent agents are used in a variety of real-world applications, including virtual assistants, chatbots, recommendation systems, and autonomous vehicles. They are also used in industries such as finance, healthcare, and manufacturing to automate processes and improve efficiency.

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