home › event - an act-r model of sensemaking in geospatial intelligence tasks

EVENT:

An ACT-R Model of Sensemaking in Geospatial Intelligence Tasks
Conferences & Talks

The 22nd Conference on Behavior Representation in Modeling and Simulation (BRIMS)

12 July 2013
3:30-5:00pm
Carleton University, Ottawa, Canada

 

description

We developed an ACT-R model of sensemaking in a geospatial intelligence task based on two widely used learning processes in ACT-R: instance base learning and reinforcement learning. This map-based task requires users to select (make visible) layers that visualize different types of intelligence, and to revise probability estimates about which groups might commit a future bombing attack. The model (a) evaluates layers during the simulation, (b) selects layers based on the evaluation of all layers, and (c) adjusts probability estimates for all groups based on new evidence. The model exhibits layer-selection patterns that are comparable to participants (N = 45) studied on this task and both model and people deviate from a rational model based on greedy maximization of expected information gain. The model also exhibits an anchoring bias in updating belief probabilities based on revealed evidence, which corresponds to the average participant.

 

upcoming events   view all 

Aston Martin: The Brand Journey of a 100 Year-old Startup
Mr. Simon Sproule
29 August 2016
PARC Forum  

A Low-cost and Innovative Radar “Digital Eye”
Bernard Casse
20 September 2016 - 22 September 2016 | Brussels, Belgium
Conferences & Talks  

Stanford and PARC host Digital Cities Summit 2016
Victoria Bellotti, Panel Facilitator, Bernard Casse, Panelist, Sean Garner, Panelist, Stephen Hoover, Keynote Speaker, Tolga Kurtoglu, Panel Facilitator, Markus Larsson, Speaker, Ersin Uzun, Panelist
3 October 2016 - 4 October 2016 | Stanford, CA
Conferences & Talks