Vehicle 14

Egotism and Optimism

The closing chapter turns to bias. A mechanism that evaluates the same evidence differently depending on whose prospects are at stake can look recognizably human very quickly.

8 min read

Vehicle demonstrationSkewed terrain

Drag the warm source and notice how quickly the same vehicle starts to look partial once the field itself is unevenly weighted.

DemonstrationBias can be represented as a skew in the terrain itself. The body is still mechanical, but asymmetry in what counts as attractive changes the whole reading of its path.

Bias is a powerful chapter to end on because it shows how little asymmetry is required for personality to appear. The same evidence can be weighted differently for self and world, for gains and losses, for present and future.

Once those distortions stabilize, the system stops looking neutral. It begins to look hopeful, defensive, self-favoring, or naïve.

Key idea

Optimism and egotism can be implemented as evaluation asymmetries. They need not begin as explicit beliefs; they can begin as small systematic distortions in how evidence is scored.

The same world can be scored twice

If a mechanism rates identical evidence one way for itself and another way for everything else, the observer starts supplying character. The body no longer looks merely adaptive. It looks partial.

Figure 14aAsymmetric scoring

gain

risk

noise

support

World score

0.12

Self score

0.40

Figure 14aThe same evidence supports different totals depending on how positively the system weights gains. That alone is enough to make the evaluation look optimistic.

Small distortions are psychologically expensive

The reason this matters is that human-seeming qualities often require very little. A small asymmetry, applied consistently, can dominate the observer’s reading of the whole system.

Figure 14bOpen evaluator

gain

risk

noise

support

World score

0.12

Self score

0.40

Figure 14bTune optimism and egotism. The same evidence begins to support a different self-story because the evaluation rule itself has changed.