Conference proceeding
A Methodology for Developing an Agent Systems Reference Architecture
AGENT-ORIENTED SOFTWARE ENGINEERING XI, v 6788, pp 177-188
01 Jan 2011
Abstract
The slow adoption of agent-oriented methodologies as a paradigm for developing industry systems is due in part to their lack of integration and general-purpose use. There exists a need to define common patterns, relationships between components, and structural qualities that a reference architecture for agent-based systems would solve. However, there is little, if any, consensus on how to create a reference architecture for agent-based systems. This paper presents a methodology for developing a reference architecture that documents agent-based systems from different system viewpoints. Rather than the traditional approach of studying existing systems, the documentation methodology relies on forensic software analysis of agent frameworks (i.e., APIs and libraries for constructing agent systems). We demonstrate the methodology by describing the process used to create the Agent System Reference Architecture.
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Details
- Title
- A Methodology for Developing an Agent Systems Reference Architecture
- Creators
- Duc N. Nguyen - Drexel UniversityKyle Usbeck - Drexel UniversityWilliam M. Mongan - Drexel UniversityChristopher T. Cannon - Drexel UniversityRobert N. Lass - Drexel UniversityJeff Salvage - Drexel UniversityWilliam C. Regli - Drexel UniversityIsrael Mayk - Communications-Electronics Research, Development and Engineering Center, US ArmyTodd Urness - Communications-Electronics Research, Development and Engineering Center, US Army
- Contributors
- D Weyns (Editor)M P Gleizes (Editor)
- Publication Details
- AGENT-ORIENTED SOFTWARE ENGINEERING XI, v 6788, pp 177-188
- Series
- Lecture Notes in Computer Science
- Publisher
- Springer Nature
- Number of pages
- 3
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Computer Science
- Web of Science ID
- WOS:000306814600011
- Scopus ID
- 2-s2.0-80054121554
- Other Identifier
- 991019173679004721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Software Engineering
- Computer Science, Theory & Methods