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Figure 1 | Complex Adaptive Systems Modeling

Figure 1

From: Generalized Thompson sampling for sequential decision-making and causal inference

Figure 1

Comparison between (a) a fully rational decision maker and (b) a decision maker with random beliefs. There are two biased coins. The probability of throwing the first coin is 1 4 , the probability of throwing the second coin is 3 4 . The first coin has a probability of 1 4 for the outcome Head and the second coin has a probability of 3 4 for Head. The decision-maker has to predict the most likely outcome. A correct guess is rewarded with $1, an incorrect guess yields $0.

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