Integrating Ontologies into Multiagent Systems Engineering

Abstract

Multiagent systems have received much attention in recent years due to their advantages in complex, distributed environments. A number of methodologies have been proposed for engineering multiagent systems, however, these methodologies do not adequately address the information domain of the system, which is an integral part of designing proper system execution. Previous work at the Air Force Institute of Technology (AFIT) has developed a methodology for analyzing, designing, and developing multiagent systems, called Multiagent Systems Engineering (MaSE). This research extends the MaSE methodology to include the use of ontologies for information domain specification. The extensions allow the designer to specify information flow by using objects from the ontology as parameters in agent conversations. The developer can then ensure system functionality by verifying that each agent has the information required to accomplish the system goals.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2006
Accession Number
ADA443704

Entities

People

  • Jonathan Dileo
  • Scott Deloach
  • Timothy Jacobs

Organizations

  • Air University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Artificial Intelligence
  • Automata
  • Classification
  • Education
  • Engineering
  • Hierarchies
  • Information Retrieval
  • Information Systems
  • Models
  • Multiagent Systems
  • Ontologies
  • Scheduling (Production)
  • Software Development
  • Specifications
  • Students
  • Systems Engineering

Fields of Study

  • Computer science
  • Engineering

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Software Engineering.