An old-timer physician of New York, who was forever questioning the methods and purpose of his colleagues, concluded a Grand Rounds in his department with the observation, “No patient is in real danger until all his doctors agree on his diagnosis.” Those of us at the session dutifully applauded and laughed, left the meeting, but never forgot his perceptive warning. We all crave certainty, yet s...

Probability can be used to measure degree of belief in two ways: objectively and subjectively. The objective measure is a measure of the rational degree of belief in a proposition given a set of evidential propositions. The subjective measure is the measure of a particular subject’s dispositions to decide between options. In both measures, certainty is a degree of belief 1. I will show, however...

Humans and other animals constantly evaluate their decisions in order to learn and behave adaptively. Experimentally, such evaluation processes are accessed using metacognitive reports made after decisions, typically using verbally formulated confidence scales. When subjects report high confidence, it reflects a high certainty of being correct, but a low confidence might signify either low cert...

This work is concerned with mapping of indoor environment by a team of robots who share the information they gather to build a global representation of the environment in a consistent, efficient, and scalable way. The well known approach of Decentralized Data Fusion is applied to a widely used representation of Certainty Grid maps. The result is a scalable and intuitive algorithm for combining ...

Selecting an effective method for combining the votes of base inducers in a multiclassifier system can have a significant impact on the system’s overall classification accuracy. Some methods cannot even achieve as high a classification accuracy as the most accurate base classifier. To address this issue, we present the strategy of aggregate certainty estimators, which uses multiple measures to ...