DeepAI AI Chat
Log In Sign Up

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

03/08/2000

QUIP - A Tool for Computing Nonmonotonic Reasoning Tasks

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

Probabilistic Warnings in National Security Crises: Pearl Harbor Revisited

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

Stereotypical Reasoning: Logical Properties

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

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

Assessment of risks of pandemics to communities and workplaces requires ...
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 ...
12/13/2020

Deliberative and Conceptual Inference in Service Robots

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

Bayesian Reasoning and Evidence Communication

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