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Stimulus agents: an alternative framework for computer-aided decision making

Author: Angehrn, Albert A. INSEAD Area: Technology and Operations Management Series: Working Paper ; 91/54/TM Publisher: Fontainebleau : INSEAD, 1991.Language: EnglishDescription: 18 p.Type of document: INSEAD Working Paper Online Access: Click here Abstract: Today's decision support systems (DSS), expert systems, executive information systems, group DSS and similar computer-based tools are based on conceptual frameworks developed in the early 80s. New frameworks capturing the latest research tendencies in the DSS field are needed as a basis for the next generation of decision support tools. This paper presents an alternative decision making arena in which decision-makers define and explore their problems interactively under the continuous stimulus (help, guidance and criticism) of dynamic "agents". The role of such electronic agents is to recreate a teamwork environment. Accordingly, they assume in turn the role of information providers, servants, experts or mentors. By intervening in the arena at the explicit request of the decision-maker as well as unexpectedly, dynamic agents illustrate a "supporting by challenging" approach to computer-aided decision making
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Today's decision support systems (DSS), expert systems, executive information systems, group DSS and similar computer-based tools are based on conceptual frameworks developed in the early 80s. New frameworks capturing the latest research tendencies in the DSS field are needed as a basis for the next generation of decision support tools. This paper presents an alternative decision making arena in which decision-makers define and explore their problems interactively under the continuous stimulus (help, guidance and criticism) of dynamic "agents". The role of such electronic agents is to recreate a teamwork environment. Accordingly, they assume in turn the role of information providers, servants, experts or mentors. By intervening in the arena at the explicit request of the decision-maker as well as unexpectedly, dynamic agents illustrate a "supporting by challenging" approach to computer-aided decision making

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