Skip to main navigation
Skip to search
Skip to main content
Illinois Experts Home
LOGIN & Help
Home
Profiles
Research units
Research & Scholarship
Datasets
Honors
Press/Media
Activities
Search by expertise, name or affiliation
Using computational cognitive modeling to diagnose possible sources of aviation error
Michael D. Byrne, Alex Kirlik
Siebel School of Computing and Data Science
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Using computational cognitive modeling to diagnose possible sources of aviation error'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Aviation
100%
Possible Sources
100%
Taxiway
100%
Decision Horizon
100%
Computational Cognitive Model
100%
Adaptation
50%
Simulation Data
50%
Cognitive Aspects
50%
Computational Model
50%
Visual Scenes
50%
Adaptive Control
50%
Chicago
50%
Closed-loop
50%
Aeronautics
50%
Decision Strategy
50%
Subject Matter Experts
50%
Hare
50%
Surface Operations
50%
Computer Science
Computational Modeling
100%
Decision Strategy
100%
Adaptive Control Systems
100%
Subject Matter Expert
100%
Cognitive Aspect
100%
Data Simulation
100%
Engineering
Closed Loop
100%
NASA
100%
Subject Matter Expert
100%
Adaptive Control
100%
Chemical Engineering
Adaptive Control Systems
100%