research-article

VizScript: on the creation of efficient visualizations for understanding complex multi-agent systems

Authors:

Rajiv T. Maheswaran,

Pedro SzekelyAuthors Info & Claims

IUI '08: Proceedings of the 13th international conference on Intelligent user interfaces

Pages 40 - 49

https://doi.org/10.1145/1378773.1378780

Published: 13 January 2008 Publication History

Abstract

One of the most difficult tasks in software development is understanding the behavior of the final product. Making sure that a system behaves as users expect is a challenging endeavor. Understanding the behavior of a multi-agent system is even more challenging given the additional complexities of multi-agent problems. In this paper, we address the problem of users creating visualizations to debug and understand complex multi-agent systems. We introduce VizScript, a generic framework that expedites the process of creating such visualizations. VizScript combines a generic application instrumentation, a knowledge-base, and simple scene definitions primitives with a reasoning system, to produce an easy to use visualization platform. Using VizScript, we were able to recreate the visualizations for a complex multiagent system with an order-of-magnitude less effort than was required in a Java implementation

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Cited By

Agarwal SWallner GWatson JBeck F(2022)Spatio-temporal Analysis of Multi-agent Scheduling Behaviors on Fixed-track Networks2022 IEEE 15th Pacific Visualization Symposium (PacificVis)10.1109/PacificVis53943.2022.00011(21-30)Online publication date: Apr-2022
https://doi.org/10.1109/PacificVis53943.2022.00011
Bae SRossi FHook JDavidoff SMa K(2020)A Visual Analytics Approach to Debugging Cooperative, Autonomous Multi-Robot Systems’ Worldviews2020 IEEE Conference on Visual Analytics Science and Technology (VAST)10.1109/VAST50239.2020.00008(24-35)Online publication date: Oct-2020
https://doi.org/10.1109/VAST50239.2020.00008
Maheswaran RSzekely PSanchez R(2011)Automated adaptation of strategic guidance in multiagent coordinationProceedings of the 14th international conference on Agents in Principle, Agents in Practice10.1007/978-3-642-25044-6_20(247-262)Online publication date: 16-Nov-2011
https://dl.acm.org/doi/10.1007/978-3-642-25044-6_20
Show More Cited By

Index Terms

VizScript: on the creation of efficient visualizations for understanding complex multi-agent systems
1. Human-centered computing
  1. Human computer interaction (HCI)

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Published In

cover image ACM Conferences

IUI '08: Proceedings of the 13th international conference on Intelligent user interfaces

January 2008

458 pages

ISBN:9781595939876

DOI:10.1145/1378773

General Chair:
Steffen Staab
Universitat Koblenz-Landau, Germany

Copyright © 2008 ACM.

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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ACM: Association for Computing Machinery
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
AAAI: Association for the Advancement of Artifical Intelligence

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 January 2008

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Defense Advanced Research Projects Agency

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IUI08: 13th International Conference on Intelligent User Interfaces

January 13 - 16, 2008

Gran Canaria, Spain

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Overall Acceptance Rate 746 of 2,811 submissions, 27%

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Cited By

Agarwal SWallner GWatson JBeck F(2022)Spatio-temporal Analysis of Multi-agent Scheduling Behaviors on Fixed-track Networks2022 IEEE 15th Pacific Visualization Symposium (PacificVis)10.1109/PacificVis53943.2022.00011(21-30)Online publication date: Apr-2022
https://doi.org/10.1109/PacificVis53943.2022.00011
Bae SRossi FHook JDavidoff SMa K(2020)A Visual Analytics Approach to Debugging Cooperative, Autonomous Multi-Robot Systems’ Worldviews2020 IEEE Conference on Visual Analytics Science and Technology (VAST)10.1109/VAST50239.2020.00008(24-35)Online publication date: Oct-2020
https://doi.org/10.1109/VAST50239.2020.00008
Maheswaran RSzekely PSanchez R(2011)Automated adaptation of strategic guidance in multiagent coordinationProceedings of the 14th international conference on Agents in Principle, Agents in Practice10.1007/978-3-642-25044-6_20(247-262)Online publication date: 16-Nov-2011
https://dl.acm.org/doi/10.1007/978-3-642-25044-6_20
Polaków GMetzger M(2009)Web-based visualization of student cooperation during distributed laboratory experimentationProceedings of the 6th international conference on Cooperative design, visualization, and engineering10.5555/1812983.1813031(317-324)Online publication date: 20-Sep-2009
https://dl.acm.org/doi/10.5555/1812983.1813031

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