Adds a goal to this agent's goal list (so this agent becomes an owner of the goal)

A facilitating method to be able to appraise one event only from the perspective of the current agent (this). Needs an instantiated gamygdala object (automatic when the agent is registered with Gamygdala.registerAgent(agent) to a Gamygdala instance).

This function returns either the state as is (gain=false) or a state based on gained limiter (limited between 0 and 1), of which the gain can be set by using setGain(gain). A high gain factor works well when appraisals are small and rare, and you want to see the effect of these appraisals A low gain factor (close to 0 but in any case below 1) works well for high frequency and/or large appraisals, so that the effect of these is dampened.

If this agent has a goal with name goalName, this method returns that goal.

This function returns a summation-based Pleasure Arousal Dominance mapping of the emotional state as is (gain=false), or a PAD mapping based on a gained limiter (limited between 0 and 1), of which the gain can be set by using setGain(gain). It sums over all emotions the equivalent PAD values of each emotion (i.e., [P,A,D]=SUM(Emotion_i([P,A,D])))), which is then gained or not. A high gain factor works well when appraisals are small and rare, and you want to see the effect of these appraisals. A low gain factor (close to 0 but in any case below 1) works well for high frequency and/or large appraisals, so that the effect of these is dampened.

Returns the relation object this agent has with the agent defined by agentName.

Checks if this agent owns a goal.

Checks if this agent has a relation with the agent defined by agentName.

This function prints to the console either the state as is (gain=false) or a state based on gained limiter (limited between 0 and 1), of which the gain can be set by using setGain(gain). A high gain factor works well when appraisals are small and rare, and you want to see the effect of these appraisals A low gain factor (close to 0 but in any case below 1) works well for high frequency and/or large appraisals, so that the effect of these is dampened.

Returns the relation object this agent has with the agent defined by agentName.

Adds a goal to this agent's goal list (so this agent becomes an owner of the goal)

Sets the gain for this agent.

Sets the relation this agent has with the agent defined by agentName. If the relation does not exist, it will be created, otherwise it will be updated.

This method decays the emotional state and relations according to the decay factor and function defined in gamygdala. Typically this is called automatically when you use startDecay() in Gamygdala, but you can use it yourself if you want to manage the timing. This function is keeping track of the millis passed since the last call, and will (try to) keep the decay close to the desired decay factor, regardless the time passed So you can call this any time you want (or, e.g., have the game loop call it, or have e.g., Phaser call it in the plugin update, which is default now). Further, if you want to tweak the emotional intensity decay of individual agents, you should tweak the decayFactor per agent not the "frame rate" of the decay (as this doesn't change the rate).