Toward Intelligent Decision Support Systems: An Artificially Intelligent Statistician

William Remus · Jeffrey E Kottemann

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Decision Support System Applications Big Data and Business Intelligence AI-based Problem Solving and Planning

Abstract

There are three important considerations in DSS development. (1) Decision making involves both primary and secondary processes, where secondary processes concern selecting appropriate decision making tools, approaches, and information. (2) In making decisions, humans are subject to numerous cognitive limitations. (3) In order for end users to develop DSSs, sophisticated, problem-oriented DSS generators must replace technically demanding DSS tools. These three considerations can be effectively addressed by including expert system components in DSSs. An expert DSS for statistical analysis is proposed and used as an illustration. Decision making scenarios are used to indicate the potential of such a system. In particular, it appears that an expert DSS can provide support for both primary and secondary decision making and help ameliorate human cognitive limitations.

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References

1975Judgment under Uncertainty: Heuristics and Biases 1973Availability: A heuristic for judging frequency and probability 1973On the psychology of prediction.1972Subjective probability: A judgment of representativeness 1976The Structure of "Unstructured" Decision Processes 1971Belief in the law of small numbers.1976Task complexity and contingent processing in decision making: An information search and protocol analysis 1971Comparison of Bayesian and regression approaches to the study of information processing in judgment

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