> mental models, each with a degree of uncertainty, to some overall business strategy
That actually sounds a lot like model based reinforcement learning. AlphaGo still had an explicit model of a perfect information game, but newer algorithms are capable of learning the rules of games like Minecraft with very little prior information.
The problem is that the real world is still much more complicated and hard to access for machines. However, I wouldn't say it is a fundamentally different problem, but rather a matter of scale. That's part of the reason why AI research spent so much effort on building game playing systems.
That actually sounds a lot like model based reinforcement learning. AlphaGo still had an explicit model of a perfect information game, but newer algorithms are capable of learning the rules of games like Minecraft with very little prior information.
The problem is that the real world is still much more complicated and hard to access for machines. However, I wouldn't say it is a fundamentally different problem, but rather a matter of scale. That's part of the reason why AI research spent so much effort on building game playing systems.