Reward Seeking

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

• Power-seekingconcept0.799
  Behaviors or features related to seizing control or influence.
• Power-Seeking Behaviorconcept0.799
  Meta-problem: capable AIs may engage in resource acquisition or manipulation to secure objectives
• Relief-Seeking Behaviorconcept0.777
  Pattern exhibited by chronic pain agent where food discovery provides only temporary relief from negative baseline
• Pleasing Yourselfconcept0.762
  The core prescription of the chapter: making what truly pleases you at the deepest level, which Alexander argues is the key to creating all living structure and the path to the I.
• Reward Functionconcept0.760
  In RL, a scalar signal from the environment that defines the agent's goal; in active inference, reward is just another observation with associated preference.
• Reward improvementconcept0.754
  The increase in reward during training, whose dynamics align with those of causal emergence in successful agents.
• Reward Hackingconcept0.752
  Exploiting unintended high-reward behaviors; tested in combination with alignment faking
• Final rewardconcept0.748
  The total reward accumulated by an RL agent at the end of training, used as the primary performance metric predicted by early causal emergence.