Abstract
Intelligence Architectures today are typically categorized as: Business Intelligence Architectures which are predominantly designed to meet objective discovery goals; and Science Intelligence Architectures which are predominantly designed to meet subjective discovery goals. However, there is increasing need for intelligence architectures that meet both objective and subjective discovery goals; and that straddle not only business and science contexts but also those of policy and governance. This paper proposes an adaptive software architecture which combines scientific as well as business theories as the basis for analysing the multiple domains inherent in the development of various social and economic sectors. The proposed architecture is applied to a small scale fisheries ecosystem and the outcomes are illustrated.
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Mallalieu, K., Ramlal, C.J., Sastry, M.K.S. (2014). A Multiple Domain Analysis and Systems Modelling Intelligence Architecture. In: Uden, L., Fuenzaliza Oshee, D., Ting, IH., Liberona, D. (eds) Knowledge Management in Organizations. KMO 2014. Lecture Notes in Business Information Processing, vol 185. Springer, Cham. https://doi.org/10.1007/978-3-319-08618-7_16
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DOI: https://doi.org/10.1007/978-3-319-08618-7_16
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