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Using multi-agent systems for constraint-based modeling

Published: 02 May 2012 Publication History

Abstract

Creating content is a vital task in computer graphics. In this paper we evaluate a constraint based scene description using a system of multiple-agents known from artificial intelligence. By using agents we separate the modeling process into small and easy to understand tasks. The parameters for each agent can be changed at any time. Re-evaluating the agent system results in a consistently updated scene, a process that allows artists to experiment until they find the desired result while still leveraging the power of constraint based modelling. Since we only need to evaluate modified agents when updating the scene, we can even use this description to perform modeling tasks on mobile devices.

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Published In

cover image ACM Other conferences
SCCG '12: Proceedings of the 28th Spring Conference on Computer Graphics
March 2013
158 pages
ISBN:9781450319775
DOI:10.1145/2448531
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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  • Comenius University: Comenius University
  • SIS: Slovak informatics society

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 May 2012

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Author Tags

  1. constraints
  2. interactive
  3. mobile
  4. modeling
  5. multi-touch

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  • Research-article

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SCCG'12
Sponsor:
  • Comenius University
  • SIS
SCCG'12: Spring Conference on Computer Graphics
May 2 - 4, 2012
Budmerice, Slovakia

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Overall Acceptance Rate 67 of 115 submissions, 58%

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