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Automated Derivation of Complex Agent Architectures from Analysis Specifications
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Automated Derivation of Complex Agent Architectures from Analysis Specifications
Clint H. Sparkman7 , Scott A. DeLoach8 and Athie L. Self7 
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Department of Electrical and Computer Engineering, Air Force Institute of Technology Wright-Patterson Air Force Base, 45433-7765 Ohio |
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Department of Computing and Information Sciences, Kansas State University, 212 Nichols Hall, 66506 Manhattan, KS |
Abstract
Multiagent systems have been touted as a way to meet the need for distributed software systems that must operate in dynamic
and complex environments. However, in order for multiagent systems to be effective, they must be reliable and robust. Engineering
multiagent systems is a non-trivial task, providing ample opportunity for even experts to make mistakes. Formal transformation
systems can provide automated support for synthesizing multiagent systems, which can greatly improve their correctness and
reliability. This paper describes a semi-automated transformation system that generates an agent’s internal architecture from
an analysis specification in the MaSE methodology.
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