From ActAffAct to BehBehBeh: Increasing Affective Detail in a Story-World

Story-worlds are virtual worlds inhabited by synthetic characters that provide an environment in which users participate actively in the creation of a narrative. Implementation approaches range from plot-driven to character-based [4,7]. Character-based approaches require synthetic agents with autonomy and personality. Affective agent architectures [13,2] are used to construct such autonomous personality agents, and computational models of emotion are seen as a prerequisite for the required emotional and social competences. The present paper reports on ongoing work based on the experiences gained in earlier work, in particular TABASCO [6] and ActAffAct (Acting Affectively affecting Acting [8,10]). The following section reviews details of the earlier approach towards creating a story-world to generate cliche stories, while the later sections present the changes in scope and approach adopted in our current work.