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 language | English |
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Title of host publication | Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems (AAMAS'15) |
Place of Publication | New York, NY |
Publisher | ACM |
Pages | 781-789 |
Number of pages | 9 |
ISBN (Electronic) | 9781450334136 |
Publication status | Published - 4 May 2015 |
Event | 2015 International Conference on Autonomous Agents and Multiagent Systems - Istambul, Türkiye Duration: 4 May 2015 → 8 May 2015 Conference number: 14 http://www.aamas2015.com/en/ |
Conference
Conference | 2015 International Conference on Autonomous Agents and Multiagent Systems |
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Abbreviated title | AAMAS '15 |
Country/Territory | Türkiye |
City | Istambul |
Period | 4/05/15 → 8/05/15 |
Internet address |
Keywords
- Innovative Applications
- Aerospace and Defense
- Argumentation
- Collective intelligence
- Human-agent Interaction