Uncertainty in Artificial Intelligence
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Decision Making "Biases" and Support for Assumption-Based Higher-Order Reasoning
Marvin Cohen
Unaided human decision making appears to systematically violate consistency constraints imposed by normative theories; these biases in turn appear to justify the application of formal decision-analytic models. It is argued that both claims are wrong. In particular, we will argue that the "confirmation bias" is premised on an overly narrow view of how conflicting evidence is and ought to be handled. Effective decision aiding should focus on supporting the contral processes by means of which knowledge is extended into novel situations and in which assumptions are adopted, utilized, and revised. The Non- Monotonic Probabilist represents initial work toward such an aid.
Pages: 71-80
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PDF Link: /papers/89/p71-cohen.pdf
AUTHOR = "Marvin Cohen ",
TITLE = "Decision Making "Biases" and Support for Assumption-Based Higher-Order Reasoning",
BOOKTITLE = "Proceedings of the Fifth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-89)",
ADDRESS = "Corvallis, Oregon",
YEAR = "1989",
PAGES = "71--80"

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