Description Usage Arguments Value Author(s) References
k-ToM's decision function, where it calculates its own choice probability based on the updated estimates
1 | decision_function(hidden_states, params, player, level, p_matrix)
|
hidden_states |
k-ToM's updated estimates |
params |
a list structure containing k-ToM's volatility and behavioural temperature parameters |
player |
k-ToM's player role, i.e. which side of the payoff matrix is used |
level |
k-ToM's sophistication level k |
p_matrix |
a given 2-by-2 payoff matrix |
k-ToM's own choice probability
K. Enevoldsen & P. Waade
Devaine et al. (2014a, 2014b, 2017)
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