- You shape complex behaviors by reinforcing successive approximations—reward close attempts and then tighten the criteria so the action is refined step by step until it matches the target.
You shape complex behaviors by reinforcing successive approximations—reward close attempts and then tighten the criteria so the action is refined step by step until it matches the target.
- Tying rewards to fixed time intervals lowers effort because extra responses between intervals yield no benefit, so subjects conserve energy rather than respond constantly.
Tying rewards to fixed time intervals lowers effort because extra responses between intervals yield no benefit, so subjects conserve energy rather than respond constantly.
- Treating a model as the full truth causes overconfidence because it freezes policies around the abstraction and ignores changing realities and feedback loops, which reduces adaptability and leads to poor decisions.
Treating a model as the full truth causes overconfidence because it freezes policies around the abstraction and ignores changing realities and feedback loops, which reduces adaptability and leads to poor decisions.
- Maps reflect their creators' biases and goals because mapmakers choose what to include, emphasize, or omit based on values and constraints, so models should be interpreted in the context of their origin.
Maps reflect their creators' biases and goals because mapmakers choose what to include, emphasize, or omit based on values and constraints, so models should be interpreted in the context of their origin.
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