I think I grasp this problem well enough, I’m not sure it’s useful to plough through the existing philosophy at this point (am I wrong, is there something technically useful in e.g. that thesis?).
The examples of problems I was trying to figure out these last weeks is e.g. representation of preference order (lattices vs. probabilities vs. graphical models vs. other mathematical structures), relation and conversions between different representations of the state space (variables/predicates/etc.), representation of one agent by another, “agents” as efficient abstractions of regularities in the preference order, compound preferences and more global optimization resulting from cooperation of multiple agents, including the counterfactual agents and agents acting at different local areas in time/space/representation of state space, etc.
representation of preference order (lattices vs. probabilities vs. graphical models vs. other mathematical structures), relation and conversions between different representations of the state space (variables/predicates/etc.)
There’s actually quite a lot of this in James Joyce’s The foundations of causal decision theory, at what appears to me to be a gratuitiously high math level.
I think I grasp this problem well enough, I’m not sure it’s useful to plough through the existing philosophy at this point (am I wrong, is there something technically useful in e.g. that thesis?).
The examples of problems I was trying to figure out these last weeks is e.g. representation of preference order (lattices vs. probabilities vs. graphical models vs. other mathematical structures), relation and conversions between different representations of the state space (variables/predicates/etc.), representation of one agent by another, “agents” as efficient abstractions of regularities in the preference order, compound preferences and more global optimization resulting from cooperation of multiple agents, including the counterfactual agents and agents acting at different local areas in time/space/representation of state space, etc.
There’s actually quite a lot of this in James Joyce’s The foundations of causal decision theory, at what appears to me to be a gratuitiously high math level.