When we optimize we typically have a specific scenario in our head. With the proper tools one can probably make the mathematically optimal decisions to deal wit

When we optimize we typically have a specific scenario in our head. With the proper tools one can probably make the mathematically optimal decisions to deal with this exact scenario. However: 1) This exact scenario will likely never materialize 2) You have not good quantification of the scenario anyway due to noise/biases in measurements. So now you optimized for something very specific, and the nature throws you something slightly different and you are completely screwed because your optimized solve is not flexible at all. That is why a more “suboptimal” approach is typically better and why our stupid brains outperform super fancy computers and algorithms in planning.