at that specific state. As the neurons change over the game, giving the agents’ own estimation, the mood readings will increase or decrease depending on how that agent perceives its own actions. Most importantly, the mood reading will carry the temporal relations between the estimations. This is observed by the example plotted in Figure \[fig:readingsExample\] (c), where we also observe the temporal behavior of the neurons been inserted in the network to map the PA values. We clearly see when a neuron with higher PA value starts to get more active, and thus, has a smaller habituation.

The Chef’s Hat card game is made to be played in a series of games. The roles assignments are given based on the finishing position of the last game, and they change the general games’ winning probabilities. When playing with completely random agents, each agent has a chance of 25% of winning the game. However, if this agent won the previous game and it receives the Chef role in the current game, the chances of winning the game increase to 35% [@barros2020food]. To represent the differences between the self-assessed confidence over an action and the environment given feedback when finishing a game, we 