Agent-Oriented Methodologies Evaluation Frameworks: A Review

Author:

Jazayeri Ali1,Bass Ellen J.12

Affiliation:

1. Department of Information Science, College of Computing & Informatics, Drexel University, Philadelphia, PA 19104, USA

2. Department of Health Systems and Sciences Research, College of Nursing & Health Professions, Drexel University, Philadelphia, PA 19104, USA

Abstract

Multi-agent systems and agent-oriented methodologies support analysis, characterization and development of complex software systems. These methodologies introduce different definitions for the essential components of multi-agent systems and cover different phases of the system development life cycle. Therefore, appropriate frameworks for evaluation and comparison of different methodologies would support developers to adopt the best methodology, or a combination of different methodologies, based on the project requirements. This review covers the system development phases and the main conceptual components in the context of multi-agent systems. Then, the evaluation frameworks proposed in the literature for comparison and evaluation of agent-oriented methodologies are reviewed. Evaluation frameworks proposed in the literature are categorized into three categories: methodology-based, phase-based and feature-based evaluation frameworks. The paper concludes with the agent-oriented methodologies’ usage challenges, their current limitations and potential future directions.

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Computer Graphics and Computer-Aided Design,Computer Networks and Communications,Software

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Survey of Adaptive Multi-Agent Networks and Their Applications in Smart Cities;Smart Cities;2022-03-09

2. A Template-Based Approach to Code Generation Within an Agent Paradigm;Highlights in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection;2021

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