Virtual space ontologies for scripting agents

Zhiqiang Gao*, Liqun Ren, Yuzhong Qu, Toru Ishida

*Corresponding author for this work

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

1 Citation (Scopus)


Interactive multi-agent system improves reusability of agents by separating application design from agent design. However, it remains difficult for application designers (usually non-computer professionals) to script massive multi-agents. This is especially true for scripting hundreds of NPCs (Non Player Characters, agents) hosted by hostile, dynamic and complex 3D (three-dimensional) environments in military simulation. Out of perspective of interaction between agents and environments, namely virtual spaces, we introduce virtual space ontologies to facilitate interaction between humans and agents. Three advantages are obtained by using virtual space ontologies: 1) A hybrid approach of integrating qualitative and quantitative spatial reasoning is achieved so that application designers can specify arguments of actions (scenario primitives) qualitatively. 2) Primitive actions of agents are abstracted hierarchically so that application designers can sketch scenarios for units of agents. 3) Better intent communication between humans and agents is realized so that application users can control agents easily in real time.

Original languageEnglish
Title of host publicationMassively Multi-Agent Systems I - First International Workshop, MMAS 2004, Revised Selected and Invited Papers
PublisherSpringer Verlag
Number of pages16
ISBN (Print)3540269746, 9783540269748
Publication statusPublished - 2005
Externally publishedYes
Event1st International Workshop on Massively Multi-Agent Systems, MMAS 2004 - Kyoto, Japan
Duration: 2004 Dec 102004 Dec 11

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3446 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference1st International Workshop on Massively Multi-Agent Systems, MMAS 2004

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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