NDLI: Towards a Generic Methodology for Evaluating MAS Performance

Content Provider	IEEE Xplore Digital Library
Author	Dimou, C. Symeonidis, A.L. Mitkas, P.A.
Copyright Year	2007
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Aristotle Univ. of Thessaloniki (Dimou, C.; Symeonidis, A.L.; Mitkas, P.A.)
Abstract	As agent technology (AT) becomes a well-established engineering field of computing, the need for generalized, standardized methodologies for agent evaluation is imperative. Despite the plethora of available development tools and theories that researchers in agent computing have access to, there is a remarkable lack of general metrics, tools, benchmarks and experimental methods for formal validation and comparison of existing or newly developed systems. It is argued that AT has reached a certain degree of maturity, and it is therefore feasible to move from ad-hoc, domain-specific evaluation methods to standardized, repeatable and easily verifiable procedures. In this paper, we outline a first attempt towards a generic evaluation methodology for MAS performance. Instead of following the research path towards defining more powerful mathematical description tools for determining intelligence and performance metrics, we adopt an engineering point of view to the problem of deploying a methodology that is both implementation and domain independent. The proposed methodology consists of a concise set of steps, novel theoretical representation tools and appropriate software tools that assist evaluators in selecting the appropriate metrics, undertaking measurement and aggregation techniques for the system at hand
Starting Page	174
Ending Page	179
File Size	7468833
Page Count	6
File Format	PDF
ISBN	1424409446
DOI	10.1109/KIMAS.2007.369805
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-04-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	System testing Multidimensional systems Acoustic testing Acoustical engineering Software measurement Product safety Intelligent systems Software tools Power engineering and energy Software engineering
Content Type	Text
Resource Type	Article

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