Abstract
Reliable, cost-efficient, and fast medical diagnosis, especially in crucial cases, is still a big challenge in today’s world. This paper presents a holonic medical diagnosis system that combines the advantages of holonic systems and multi-agent systems in order to implement a highly efficient and robust Internet-based diagnosis system for diseases. The proposed holonic medical diagnosis system consists of a tree-like structured alliance of medical experts – realized by agents – that collaborate in order to provide a viable medical diagnosis. Each agent has a certain responsibility. Agents at higher levels of the holarchy represent experts in a broader field of diseases while the leaves are experts in one specific disease. The goal-based decision-making process is based on a hybrid, i.e., reactive and deliberative architecture. Reactive behavior is needed to compare the information provided to the agent with its pattern base in which possible appearances of the disease are stored in form of patterns. Deliberative behavior is needed in order to interpret and put in context the original data and information provided to the agent and to analyze and evaluate the results of the pattern matching process.
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Unland, R. (2003). A Holonic Multi-agent System for Robust, Flexible, and Reliable Medical Diagnosis. In: Meersman, R., Tari, Z. (eds) On The Move to Meaningful Internet Systems 2003: OTM 2003 Workshops. OTM 2003. Lecture Notes in Computer Science, vol 2889. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39962-9_97
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DOI: https://doi.org/10.1007/978-3-540-39962-9_97
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