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You don't need an algorithm. Since you already have a set of rules, all you need to do is implement the rules. The simplest implementation strategy is to simply re-evaluate all the rules each time something changes. However, in some cases this might repeat work unnecessarily and there might be more efficient implement the rules. For instance, if one of ...


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I have been interested in this question and started simple experiments. The idea is to have a basic axiom set that cannot be changed combined with dynamic extension and sensor input. Genetic algorithms add axioms. There can be many sets existing at the same time. In an additional step integration of the sets is attempted by replacing n-ary predicates with (n+...


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