Social Important Asset

Social Importance is a concept that is based on a sociological theory of human motivation that conceptualises human action in accordance to two fundamental relational dimensions: status and power.

According to this theory, we are motivated to confer status to those who deserve it and refrain from claiming more status than what we perceive to have in the eyes of others. The amount claimed and conferred by each action depends a great deal on cultural conventions but generally, the higher the request, the more status it claims.


In short, we often act voluntarily in the interest of others. But some matters more than others. The amount of Social Importance attributed to person B by person A represents the extent to which person A will voluntarily respect/comply with the wishes/needs/interests of person B.


This component adds the meta-belief:


which calculates the amount of  Social importance (SI) the [target] agent has in the agent’s perspective. This is a numerical value, ranging from 1 to 100, that signifies the extent to which the agent is willing to act in the interest of the [target] agent.


For a FAtiMA agent, the purpose of SI is to implement this notion of status so it can better navigate and understand different relational contexts. For instance, a stranger asking a personal question is inappropriate but not a friend. This is because, all else being equal, the SI of a friend should be higher than the SI of a stranger.

These conventions are implemented in the component as attribution rules, which are defined as the following tuple:


These rules work in a similar manner to the appraisal and decision rules described previously. Essentially, the unification algorithm will process each rule individually and try to find valid substitutions for the rule’s conditions. If so, the siValue defined in the rule is added to the target’s total SI.

Note that these rules can refer to beliefs about properties of other agents, such as whether or not they are a family member, or they can refer to their past actions in the environment, such as the amount of times they were rude towards the agent for example.


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