Chapter Eleven: Uncertain future: a trip
Abstract
There are many situations where people intend to predict or assess events from the future. In the field of modeling and computer simulation we can find various “predictor” algorithms that, to some extent, provide information about the possible future. In this chapter, we discuss models with the “ideal predictor,” where the model actions depend on (exact) information from the future. As we cannot obtain such information, we suppose that the future is uncertain and consider the output from the ideal predictor as a set of possible values. This leads to a model expressed in the form of a differential inclusion.
The content of this chapter is not science fiction, though some fictitious elements can be ...
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