Abstract
An architecture for decision support system based on the knowledge represented as causally-chained networks in socio-political domain is presented. Human experts’ decisionmaking is characterized by their simplifying and pattern-perceiving heuristics, which enables them to make sense however complex reality they may face to. The system is designed to realize capabilities to generate dynamic evolving patterns of events with different abstraction levels in a hierarchical multi-layered fashion above the empirical knowledge store, capturing event concepts using a meta-knowledge universally accepted as human social behaviours. Based on such a human memory-like structure, an interface system is implemented enabling an easy and flexible access to the knowledge base supporting decisionmakers’ memory and conceptualization phases in explicating the problem in their pre-decision stages.
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© 1987 Springer-Verlag Berlin Heidelberg
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Sawaragi, T., Iwai, S., Katai, O. (1987). A Human-Friendly Interface System for Decision Support Based on Self-Organized Multi-Layered Knowledge Structures. In: Sawaragi, Y., Inoue, K., Nakayama, H. (eds) Toward Interactive and Intelligent Decision Support Systems. Lecture Notes in Economics and Mathematical Systems, vol 286. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-46609-0_4
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DOI: https://doi.org/10.1007/978-3-642-46609-0_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-17719-7
Online ISBN: 978-3-642-46609-0
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