The concept of “engineered constraints” within AI is applied broadly across many implementations of classical AI Genetic algorithms are the best example of how

The concept of “engineered constraints” within AI is applied broadly across many implementations of classical AI Genetic algorithms are the best example of how structural constraints are a core assumption in the search architecture Similarly, the entire field of reinforcement learning assumes optimal goal policies are embedded within the state space within constraints of action-state space interactions!