Artificial Intelligence, Simulations, and Experts
I’m trying to get my head around how these all go together. For the sake of conversation, I’m posting a few statements (which may or may not be true) to get the conversation going. Any thoughts? (There are also ‘expert systems’)
An artificially intelligent system is based on the knowledge of experts up to the time of creating the program. Programs take a long time to write.
An AI that takes a longer time period to rewrite (modify) than it takes the system to change will never be optimal. Experts can modify the system because:
1) Experts have a much broader range of knowledge and skill sets than an AI.
2) Experts never cease to learn how to improve systems even if the system doesn’t change. AI doesn’t learn.
3) Experts quickly become aware when the system changes and what they’re doing needs to be modified; not so with AI.
4) Experts use theory and experience to quickly modify rules and algorithms in practice; not so with AI
5) Experts are the source of changing rules. The complete information and context are rarely transferred into AI.
A) Simulation is sometimes passed off as AI and has at least the same insufficiencies. Real AI systems are extremely difficult to create.
B) Simulation should be used as a tool, especially to help experts improve systems. (corollary: use AI as a tool)
C) Simulation ideally can be used in context during real time activities by experts to clarify options and improve processes.
Statistics help experts make decisions.
Experts decide which context is appropriate for a statistic.
The better the expert—the more useful the statistics and simulation to improve systems.