Taxonomy, Structure, and Implementation of Evidential Reasoning

03/27/2013
by   Moshe Ben-Bassat, et al.
0

The fundamental elements of evidential reasoning problems are described, followed by a discussion of the structure of various types of problems. Bayesian inference networks and state space formalism are used as the tool for problem representation. A human-oriented decision making cycle for solving evidential reasoning problems is described and illustrated for a military situation assessment problem. The implementation of this cycle may serve as the basis for an expert system shell for evidential reasoning; i.e. a situation assessment processor.

READ FULL TEXT

page 1

page 2

page 3

page 4

page 7

page 9

page 10

page 11

research
03/08/2000

QUIP - A Tool for Computing Nonmonotonic Reasoning Tasks

In this paper, we outline the prototype of an automated inference tool, ...
research
02/13/2018

Probabilistic Warnings in National Security Crises: Pearl Harbor Revisited

Imagine a situation where a group of adversaries is preparing an attack ...
research
03/04/2002

Stereotypical Reasoning: Logical Properties

Stereotypical reasoning assumes that the situation at hand is one of a k...
research
08/24/2020

Machine Reasoning to Assess Pandemics Risks: Case of USS Theodore Roosevelt

Assessment of risks of pandemics to communities and workplaces requires ...
research
03/27/2013

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

RUM (Reasoning with Uncertainty Module), is an integrated software tool ...
research
12/13/2020

Deliberative and Conceptual Inference in Service Robots

Service robots need to reason to support people in daily life situations...
research
05/10/2022

Bayesian Reasoning and Evidence Communication

Many resources for forensic scholars and practitioners, such as journal ...

Please sign up or login with your details

Forgot password? Click here to reset