In our previous post, we demonstrated how Petri.jl can model Tic-Tac-Toe by translating its states and transitions into a dynamic Petri net framework. By embedding win conditions into Ordinary Differential Equations (ODEs), we quantified move heuristics to evaluate the value of each opening move.
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