scholarly journals Incomplete-Market Equilibria Solved Recursively on an Event Tree

2008 ◽  
Author(s):  
Bernard Dumas ◽  
Andrew Lyasoff
Keyword(s):  
Incomplete Market ◽  
Event Tree ◽  
Market Equilibria

scholarly journals Incomplete-Market Equilibria Solved Recursively on an Event Tree

2012 ◽  
Vol 67 (5) ◽  
pp. 1897-1941 ◽  
Author(s):  
BERNARD DUMAS ◽  
ANDREW LYASOFF
Keyword(s):  
Incomplete Market ◽  
Event Tree ◽  
Market Equilibria

scholarly journals Providing a foundation for interpretable autonomous agents through elicitation and modeling of criminal investigation pathways

2020 ◽  
Vol 64 (1) ◽  
pp. 239-243
Author(s):  
Sam Hepenstal ◽  
Leishi Zhang ◽  
Neesha Kodogoda ◽  
B.L. William Wong
Keyword(s):  
Artificial Intelligence ◽  
Task Analysis ◽  
Autonomous Agents ◽  
Cognitive Task ◽  
Cognitive Task Analysis ◽  
Criminal Investigation ◽  
Event Tree ◽  
Analysis Method ◽  
Ethical Concerns ◽  
Criminal Intelligence

Criminal investigations are guided by repetitive and time-consuming information retrieval tasks, often with high risk and high consequence. If Artificial intelligence (AI) systems can automate lines of inquiry, it could reduce the burden on analysts and allow them to focus their efforts on analysis. However, there is a critical need for algorithmic transparency to address ethical concerns. In this paper, we use data gathered from Cognitive Task Analysis (CTA) interviews of criminal intelligence analysts and perform a novel analysis method to elicit question networks. We show how these networks form an event tree, where events are consolidated by capturing analyst intentions. The event tree is simplified with a Dynamic Chain Event Graph (DCEG) that provides a foundation for transparent autonomous investigations.

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