Supporting Reasoning with Different Types of Evidence in Intelligence Analysis

Alice Toniolo, Timothy J Norman, Anthony Anietie Etuk, Federico Cerutti, Robin Wentao Ouyang, Mani Srivastava, Nir Oren, Timothy Dropps, John A. Allen, Paul Sullivan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

22 Citations (Scopus)

Abstract

The aim of intelligence analysis is to make sense of information that is often conflicting or incomplete, and to weigh competing hypotheses that may explain a situation. This imposes a high cognitive load on analysts, and there are few automated tools to aid them in their task. In this paper, we present an agent-based tool to help analysts in acquiring, evaluating and interpreting information in collaboration with others. Agents assist analysts in reasoning with different types of evidence to identify what happened and why, what is credible, and how to obtain further evidence. Argumentation schemes lie at the heart of the tool, and sensemaking agents assist analysts in structuring evidence and identifying plausible hypotheses. A crowdsourcing agent is used to reason about structured information explicitly obtained from groups of contributors, and provenance is used to assess the credibility of hypotheses based on the origins of the supporting information.
Original languageEnglish
Title of host publicationProceedings of the Fourteenth International Conference on Autonomous Agents and Multiagent Systems
PublisherACM
Pages781-789
Number of pages9
ISBN (Electronic)978-1-4503-3413-6
Publication statusPublished - 2015
Event14th International Conference on Autonomous Agents and Multiagent Systems
Systems
- Istanbul, Turkey
Duration: 4 May 20158 May 2015

Conference

Conference14th International Conference on Autonomous Agents and Multiagent Systems
Systems
Abbreviated titleAAMAS 2015
CountryTurkey
CityIstanbul
Period4/05/158/05/15

Keywords

  • Innovative Applications
  • Aerospace and Defense
  • Argumentation
  • Collective intelligence
  • Human-agent Interaction

Cite this

Toniolo, A., Norman, T. J., Etuk, A. A., Cerutti, F., Ouyang, R. W., Srivastava, M., ... Sullivan, P. (2015). Supporting Reasoning with Different Types of Evidence in Intelligence Analysis. In Proceedings of the Fourteenth International Conference on Autonomous Agents and Multiagent Systems (pp. 781-789). ACM.

Supporting Reasoning with Different Types of Evidence in Intelligence Analysis. / Toniolo, Alice; Norman, Timothy J; Etuk, Anthony Anietie; Cerutti, Federico; Ouyang, Robin Wentao; Srivastava, Mani; Oren, Nir; Dropps, Timothy ; Allen, John A.; Sullivan, Paul.

Proceedings of the Fourteenth International Conference on Autonomous Agents and Multiagent Systems. ACM, 2015. p. 781-789.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Toniolo, A, Norman, TJ, Etuk, AA, Cerutti, F, Ouyang, RW, Srivastava, M, Oren, N, Dropps, T, Allen, JA & Sullivan, P 2015, Supporting Reasoning with Different Types of Evidence in Intelligence Analysis. in Proceedings of the Fourteenth International Conference on Autonomous Agents and Multiagent Systems. ACM, pp. 781-789, 14th International Conference on Autonomous Agents and Multiagent Systems
Systems , Istanbul, Turkey, 4/05/15.
Toniolo A, Norman TJ, Etuk AA, Cerutti F, Ouyang RW, Srivastava M et al. Supporting Reasoning with Different Types of Evidence in Intelligence Analysis. In Proceedings of the Fourteenth International Conference on Autonomous Agents and Multiagent Systems. ACM. 2015. p. 781-789
Toniolo, Alice ; Norman, Timothy J ; Etuk, Anthony Anietie ; Cerutti, Federico ; Ouyang, Robin Wentao ; Srivastava, Mani ; Oren, Nir ; Dropps, Timothy ; Allen, John A. ; Sullivan, Paul. / Supporting Reasoning with Different Types of Evidence in Intelligence Analysis. Proceedings of the Fourteenth International Conference on Autonomous Agents and Multiagent Systems. ACM, 2015. pp. 781-789
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