most citedSelecting Uncertainty Calculi and Granularity: An Experiment in Trading-Off Precision and Complexity

83 citations · 123 across the 7 of their papers we have counts for

collaborators

7 papers

cs.AI2013

Proceedings of the Seventh Conference on Uncertainty in Artificial Intelligence (1991)

Piero Bonissone, Bruce D'Ambrosio, Philippe Smets

This is the Proceedings of the Seventh Conference on Uncertainty in Artificial Intelligence, which was held in Los Angeles, CA, July 13-15, 1991

cs.AI201383 cited

Selecting Uncertainty Calculi and Granularity: An Experiment in Trading-Off Precision and Complexity

Piero P. Bonissone, Keith S. Decker

The management of uncertainty in expert systems has usually been left to ad hoc representations and rules of combinations lacking either a sound theory or clear semantics. The obje…

cs.AI20132 cited

Using T-Norm Based Uncertainty Calculi in a Naval Situation Assessment Application

Piero P. Bonissone

RUM (Reasoning with Uncertainty Module), is an integrated software tool based on a KEE, a frame system implemented in an object oriented language. RUM's architecture is composed of…

cs.AI2013

Uncertainty and Incompleteness

Piero P. Bonissone, David A. Cyrluk, James W. Goodwin +1

Two major difficulties in using default logics are their intractability and the problem of selecting among multiple extensions. We propose an approach to these problems based on in…

cs.AI20131 cited

Now that I Have a Good Theory of Uncertainty, What Else Do I Need?

Piero P. Bonissone

Rather than discussing the isolated merits of a nominative theory of uncertainty, this paper focuses on a class of problems, referred to as Dynamic Classification Problem (DCP), wh…

cs.AI20137 cited

Extending Term Subsumption systems for Uncertainty Management

John Yen, Piero P. Bonissone

A major difficulty in developing and maintaining very large knowledge bases originates from the variety of forms in which knowledge is made available to the KB builder. The objecti…