Manuscript Number : CSEIT1723207
Selecting a methodology in Multi-Agent Systems - A Practical and Quasi-Technical Analysis of Agent-based, Object Oriented and Knowledge Engineering-based methodologies.
Authors(2) :-Kevin Mugoye, Simon Ruoro As recognition of agents’ technology registers steady improvement over years, there is an emergent need for practical methods for developing agent applications. Agent-Oriented Software Engineering (AOSE) methodologies were proposed to develop complex distributed system grounded upon the agent paradigm. Initially, the challenge was the lack of mature development methodologies for agent-based systems, efforts in the right direction to address the problem resulted in the proliferation of methodologies, which presents a new challenge that is, practitioners are challenged in that they need to select a methodology from a large number of existing methodologies. The literature in this paper suggests a necessity to the understanding of the classification of AOSE methodologies. We advocate for a view that is in twofold, first, practitioners need to first understand in a wide sense the categories of AOSE methodologies, so as to correctly link it to their intended agent solution, secondly, identify a methodology considering the availability of support features such as maturity, availability of documentation and support tools.
Kevin Mugoye Multi-Agent System, Agent Based Methodologies, Artificial Intelligence Publication Details Published in : Volume 2 | Issue 3 | May-June 2017 Article Preview
Department of Computer Science, Maseno University, Private Bag, Maseno, Kenya
Simon Ruoro
Department of Computer Science, Maseno University, Private Bag, Maseno, Kenya
Date of Publication : 2017-06-30
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 661-669
Manuscript Number : CSEIT1723207
Publisher : Technoscience Academy