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Multi-Model Threat Assessment Involving Low Probability High Consequence Events

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper describes a multi-model threat prediction scheme for autonomous agents making decisions in dynamic environments. The proposed multi-layered scheme utilizes argumentation, Transferrable Belief Model, Anytime Decision Making, rule-based techniques, and Choquet Integral based decision theory for situational awareness and action selection. We discuss theoretical foundations and provide high level architecture of an agent. We illustrate the scheme with an example scenario.

Original languageEnglish
Title of host publication2018 21st International Conference on Information Fusion, FUSION 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1836-1843
Number of pages8
ISBN (Print)9780996452762
DOIs
StatePublished - Sep 5 2018
Event21st International Conference on Information Fusion, FUSION 2018 - Cambridge, United Kingdom
Duration: Jul 10 2018Jul 13 2018

Publication series

Name2018 21st International Conference on Information Fusion, FUSION 2018

Conference

Conference21st International Conference on Information Fusion, FUSION 2018
Country/TerritoryUnited Kingdom
CityCambridge
Period07/10/1807/13/18

Keywords

  • Autonomy
  • Belief Functions
  • Capacities
  • Choquet Integral
  • Decision Theory
  • Information Fusion
  • Probability

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