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Abstract: We study the problem of making decisions under partial ignorance, or partially quantified uncertainty. This problem arises in many applications in robotics and AI, and it has not yet got the attention it deserves. The traditional decision rules of decision under risk and under strict uncertainty (or complete ignorance) can naturally be extended to the more general case of decision under partial ignorance. We propose partial probability theory (PPT) for representing partial ignorance, and we... (Update)
Context of citations to this paper: More
...constraints in the belief states makes can help in making them more manageable than arbitrary sets of probability measures. In [19, 20] we propose an extension of the minimax regret decision rule, originally proposed for decision under strict uncertainty, as an...
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BibTeX entry: (Update)
F. Voorbraak, Deciding under partial ignorance, in: EUROBOT'97: Second EUROMICRO Workshop on Advanced Mobile Robots, IEEE/CS Press, 1997, 66-72. http://citeseer.ist.psu.edu/voorbraak97deciding.html More
@misc{ voorbraak97deciding,
author = "F. Voorbraak",
title = "Deciding under partial ignorance",
text = "F. Voorbraak, Deciding under partial ignorance, in: EUROBOT'97: Second
EUROMICRO Workshop on Advanced Mobile Robots, IEEE/CS Press, 1997, 66-72.",
year = "1997",
url = "citeseer.ist.psu.edu/voorbraak97deciding.html" }
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