Realizing believable agents: an integration of the author-based and the model-based approaches

  • Authors:

  • Paola Rizzo

  • Affiliations:

  • IP‐CNR – Inst. of Psychol., Natl. Res. Council of Italy, Viale Marx 15, I‐00137 Rome, Italy, paola@ip.rm.cnr.it (Currently supported by a scholarship from the Committee 12 ( ...

  • Venue:
  • AI Communications
  • Year:
  • 2000

Quantified Score

Hi-index 0.00

Visualization

Abstract

A major research problem regarding believable agents is how to develop and execute their behavioral libraries. This work identifies two different approaches: the ‘author‐based’ one, depending on the designer's ability to hand‐code each agent's behavioral features, and the ‘model‐based’ one, grounded on a model which, starting from a set of primitives provided by the designer, automatically generates the agents' typical actions. This paper proposes to integrate the two methods by means of a two‐phase/two‐step strategy, that partially relieves the designer of the burden of hand‐coding all the behavioral libraries, while still allowing a good control over the characters' performance, and enabling the runtime creation and storage of new behaviors. A case study concretely illustrates how such strategy is implemented by means of a hybrid planning architecture, coupled with a goal‐based model of personality, in order to realize characters that interact with the user according to their personalities.