Meta Reasoning Challenges

Stuart Russell discusses the challenges of implementing optimal meta reasoning in agent architectures, highlighting the vast state space and longer solution sequences. He suggests an adaptive process that adjusts computational behavior over time for approximate bounded optimality. Daniel Bashir draws parallels to human meta reasoning in games like chess and backgammon.