Considering hierarchical hybrid systems for intelligent animated agents

Eric Aaron, Dimitris Metaxas

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Scopus citations

Abstract

We consider potential benefits of representing intelligent animated agents as hierarchical hybrid dynamical systems (i.e., systems with both continuous and discrete dynamics). We begin by directly applying hybrid systems theory to animation, using a general-purpose hybrid system specification tool to generate multi-agent animations. This application illustrates that a hybrid system architecture can provide a systematic, modular way to incorporate low-level behavior into a design for higher-level behavioral modeling. We then apply the logical framework of hybrid systems to animation, formally stating properties that may not be readily expressed in other frameworks and mechanically checking a collision-avoidance property for a simple race-like game.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsWalt Truszkowski, Mike Hinchey, Chris Rouff
PublisherSpringer Verlag
Pages215-229
Number of pages15
ISBN (Print)9783540451730
DOIs
StatePublished - 2003
Externally publishedYes

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2564
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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