home › event - cognitive biases in a geospatial intelligence analysis task: an act-r model

EVENT:

Cognitive Biases in a Geospatial Intelligence Analysis Task: An ACT-R Model
Conferences & Talks

 

description

An ACT-R model of sensemaking in a geospatial intelligence task was developed based on Instance-Based Learning Theory (IBLT). The model (a) maintains hypotheses about the probability of attacks by insurgent groups, (b) seeks new information based on those hypotheses, and (c) updates hypotheses based on new evidence. The model provides a functional account of how these sensemaking processes are carried out in a cognitive architecture, and model performance can be compared to normative (Bayesian) standards. Simulations exhibit two well-known cognitive biases that are frequently identified as problems in intelligence analysis: (1) anchoring in the weighting of new evidence and (2) confirmation bias in seeking new information.

 

upcoming events   view all 

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, Matthew Klenk, Tolga Kurtoglu, Panel Facilitator, Markus Larsson, Speaker, Ersin Uzun, Panelist
3 October 2016 - 4 October 2016 | Stanford, CA
Conferences & Talks