Hierarchical parallel markov models of interaction

Robert Zubek, Ian D Horswill

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Finite state techniques are popular in entertainment software production, but they complicate the modeling of certain aspects of social engagement. In this paper we examine the problem of building probabilistic finite-state interaction models that allow both hierarchical composition of behaviors, and their parallel engagement. Finally, we propose an extension that resolves the difficulties for a class of common cases.

Original languageEnglish (US)
Title of host publicationProceedings of the 1st Artificial Intelligence and Interactive Digital Entertainment Conference, AIIDE 2005
Pages141-148
Number of pages8
StatePublished - Dec 1 2005
Event1st Artificial Intelligence and Interactive Digital Entertainment Conference, AIIDE 2005 - Marina del Rey, CA, United States
Duration: Jun 1 2005Jun 3 2005

Other

Other1st Artificial Intelligence and Interactive Digital Entertainment Conference, AIIDE 2005
CountryUnited States
CityMarina del Rey, CA
Period6/1/056/3/05

ASJC Scopus subject areas

  • Artificial Intelligence
  • Visual Arts and Performing Arts

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