Abstract
A self-organizing medical diagnosis system, mirroring swarm intelligence to structure knowledge in holonic patterns is presented. The system sets up on an alliance of medical experts – realized by agents – that stigmergically self-organize in order to provide a viable medical diagnosis. Starting point is always a flat set of autonomous agents that spontaneously and temporarily organize on a case-based basis into a holarchy (without hierarchical control flow). Despite their sophisticated task the proposed agents, like ants in an ant colony, exhibit a comparatively simple architecture built on reactive behavior. The real power of the system stems from the fact that a large number of those simple agents collaborate in order to come to a reliable diagnosis.
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Unland, R., Ulieru, M. (2005). Swarm Intelligence and the Holonic Paradigm: A Promising Symbiosis for a Medical Diagnostic System. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3682. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11552451_21
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DOI: https://doi.org/10.1007/11552451_21
Publisher Name: Springer, Berlin, Heidelberg
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