Designing a meta-model for a generic robotic agent system using Gaia methodology
| Autor: | Rodrigo A. M. Braga, Luís Paulo Reis, Daniel Castro Silva, Eugénio Oliveira |
|---|---|
| Rok vydání: | 2012 |
| Předmět: |
Information Systems and Management
Computer science business.industry Gaia methodology media_common.quotation_subject Real-time computing Agent-oriented software engineering Adaptability Computer Science Applications Theoretical Computer Science Metamodeling Artificial Intelligence Control and Systems Engineering Systems design Software engineering business Software media_common |
| Zdroj: | Information Sciences. 195:190-210 |
| ISSN: | 0020-0255 |
| DOI: | 10.1016/j.ins.2012.01.029 |
| Popis: | The emergence of multi-agent systems in the past years has led to the development of new methodologies to assist in the requirements and architectural analysis, as well as in the design phases of such systems. Consequently, several Agent Oriented Software Engineering (AOSE) methodologies have been proposed. In this paper, we analyze some AOSE methodologies, including Gaia, which supports the architectural design stage, and some proposed extensions. We then use an adapted version of this methodology to design an abstract generic system meta-model for a multi-robot application, which can be used as a basis for the design of these systems, avoiding or shortening repetitive tasks common to most systems. Based on the proposed Generic Robotic Agent Meta-Model (GRAMM), two distinct models for two different applications are derived, demonstrating the versatility and adaptability of the meta-model. By adapting the Gaia methodology to the design of open systems, this work makes the designers' job faster and easier, decreasing the time needed to complete several tasks, while at the same time maintaining a high-level overview of the system. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect