Abstract
In this paper, a hierarchical agent decision support model is proposed. The model helps to provide multifaceted decision support: grouping of specialist towards complex problems at the organisational level, planning and argumentation at the individual level, and service binding at the computational level. The approach includes an agent scheme, a conceptual decision model, and a set of functional signatures that drive the decision inference, accompanied with algorithms that guide their implementation. The model is specially designed to be adaptive. A clinical application of triple assessment of breast cancer is used for illustration.
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Xiao, L. (2020). A Hierarchical Agent Decision Support Model and Its Clinical Application. In: Jezic, G., Chen-Burger, YH., Kusek, M., Šperka, R., Howlett, R., Jain, L. (eds) Agents and Multi-agent Systems: Technologies and Applications 2019. Smart Innovation, Systems and Technologies, vol 148. Springer, Singapore. https://doi.org/10.1007/978-981-13-8679-4_17
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DOI: https://doi.org/10.1007/978-981-13-8679-4_17
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