engleski

Metanarratives and Believable Behavior : Developing Social Attitude Engines of Socially Intelligent Agents

The aim of this paper is to separate social attitude engines from emotion engines of autonomous agents, in order to increase their social intelligence and consequently the believability of their behavior. The aim of the proposed separation is to clearly distinguish between the social and psychological aspects of agent behavior. In the existing emotion engines, the two aspects are blended to a degree which frequently prevents modelling of the elements of complex social interactions found in contemporary society. Development of the separate socio-political modules of social attitude engines enables introduction of political and ideological elements into agent behavior. One way of introducing these elements into the agents' social attitude engines is via their narrative knowledge. In order to accomplish this, Jean-Francois Lyotard's notion of "metanarratives" has been used in this paper, as well as Fredric Jameson's reinterpretation of that notion. Three globally recognizable ideal types (neo-liberal, fundamentalist, and alternative) were supplied with narratives that were translated into a model applicable in modelling of conversational agents. In the future, the presented socio-political attitude model should be expanded by means of addition of attitudes from various other areas of social life, in order to develop complex social attitude engines.

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