Abstract
In this paper, we describe the design and implementation of a multi-agent system that supports prediction of three dimensional structure of an unknown protein from its sequence of amino acids. Some of the problems involved are such as how many agents should be coordinated to support prediction of protein’s structures as well as how we devise agents from multiple resources. To address these problems, we propose a plan-based coordination mechanism for our multi-agent system. In our proposed system, MAPS, The control agent coordinates other agents based on a specific multi-agent plan, which specifies possible sequences of interactions among agents. This plan-based coordination mechanism has greatly increased both coherence and flexibility of our system.
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© 2005 Springer-Verlag Berlin Heidelberg
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Jin, H., Kim, IC. (2005). Plan-Based Coordination of a Multi-agent System for Protein Structure Prediction. In: Kim, T.G. (eds) Artificial Intelligence and Simulation. AIS 2004. Lecture Notes in Computer Science(), vol 3397. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30583-5_24
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DOI: https://doi.org/10.1007/978-3-540-30583-5_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24476-9
Online ISBN: 978-3-540-30583-5
eBook Packages: Computer ScienceComputer Science (R0)