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A Framework for Reasoning About Animation Systems
Author(s) -
Eric Aaron,
Dimitris Metaxas,
Franjo Ivančić,
Oleg Sokolsky
Publication year - 2001
Publication title -
lecture notes in computer science
Language(s) - English
Resource type - Book series
SCImago Journal Rank - 0.249
H-Index - 400
eISSN - 1611-3349
pISSN - 0302-9743
ISBN - 3-540-42570-5
DOI - 10.1007/3-540-44812-8_5
Subject(s) - computer science , animation , modular design , hybrid system , computer animation , human–computer interaction , metaverse , distributed computing , artificial intelligence , theoretical computer science , programming language , virtual reality , computer graphics (images) , machine learning
In this paper, we consider the potential for reasoning about animations in the language of 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 also illustrates that hybrid system models can provide systematic, modular ways to incorporate low-level behavior into a design for higher-level behavioral modeling. We then apply the logical framework of hybrid systems to animation: We formally state properties of animation systems that may not be readily expressed in other frameworks; and we mechanically check a collision-avoidance property for a simple racelike game. This hybrid systems-oriented approach could improve our ability to reason about virtual worlds, thus improving our ability to create intelligent virtual agents.

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