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

03/27/2013
by   Piero P. Bonissone, et al.
0

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 three layers: representation, inference, and control. The representation layer is based on frame-like data structures that capture the uncertainty information used in the inference layer and the uncertainty meta-information used in the control layer. The inference layer provides a selection of five T-norm based uncertainty calculi with which to perform the intersection, detachment, union, and pooling of information. The control layer uses the meta-information to select the appropriate calculus for each context and to resolve eventual ignorance or conflict in the information. This layer also provides a context mechanism that allows the system to focus on the relevant portion of the knowledge base, and an uncertain-belief revision system that incrementally updates the certainty values of well-formed formulae (wffs) in an acyclic directed deduction graph. RUM has been tested and validated in a sequence of experiments in both naval and aerial situation assessment (SA), consisting of correlating reports and tracks, locating and classifying platforms, and identifying intents and threats. An example of naval situation assessment is illustrated. The testbed environment for developing these experiments has been provided by LOTTA, a symbolic simulator implemented in Flavors. This simulator maintains time-varying situations in a multi-player antagonistic game where players must make decisions in light of uncertain and incomplete data. RUM has been used to assist one of the LOTTA players to perform the SA task.

READ FULL TEXT

page 1

page 2

page 5

page 6

page 8

page 9

page 11

page 12

research
03/27/2013

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

Rather than discussing the isolated merits of a nominative theory of unc...
research
06/18/2021

Meta-control of social learning strategies

Social learning, copying other's behavior without actual experience, off...
research
04/16/2017

FML-based Prediction Agent and Its Application to Game of Go

In this paper, we present a robotic prediction agent including a darkfor...
research
03/27/2013

Taxonomy, Structure, and Implementation of Evidential Reasoning

The fundamental elements of evidential reasoning problems are described,...
research
03/27/2013

The Role of Calculi in Uncertain Inference Systems

Much of the controversy about methods for automated decision making has ...
research
01/30/2013

Dealing with Uncertainty in Situation Assessment: towards a Symbolic Approach

The situation assessment problem is considered, in terms of object, cond...

Please sign up or login with your details

Forgot password? Click here to reset