Modelling CGFs for tactical air-to-air combat training Motivation-based behaviour and Machine Learning in a common architecture Jan Joris Roessingh, Ph.D., Maj. Roel Rijken, M.Sc. National Aerospace Laboratory (NLR), Royal Netherlands Air Force [email protected]
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Modelling CGFs for tactical air-to-air combat training Motivation-based behaviour and Machine Learning in a common architecture Jan Joris Roessingh, Ph.D.,
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Modelling CGFs for tactical air-to-air combat training
Motivation-based behaviour and Machine Learning in a common architecture
Jan Joris Roessingh, Ph.D., Maj. Roel Rijken, M.Sc.National Aerospace Laboratory (NLR), Royal Netherlands Air Force
Human constraints belief formation constrained by workload
Cognitive model for situation awareness: overview
from Hoogendoorn, van Lambalgen & Treur, 2011
Example belief network for SA model
from Hoogendoorn, van Lambalgen & Treur, 2011
Reinforcement Learning Experiment
Pros and Cons Machine Learning
Pros Save development time (less knowledge elicitation
required) Adaptation to environment and opponent Complex behaviour in complex domains New tactics and evaluation of human tactics
Cons Learning speed Effectiveness (unpredictable behaviour) Computation time and memory requirements Adaptation to game randomness Increase development time (tweaking)
Hybrid models (Dynamic Scripting, Spronck et al., 2005)
Reinforcement learning
Scripts
Conclusions
Cognitive modelling one of the fundamental techniques for motivation-based behaviour CGFs
Machine Learning is powerful tool to: enhance and complement cognitive models reduce knowledge elicitation efforts
Smart Bandits: combination of models, utilizing advantages of different approaches
Technical Activity Proposal (TAP)Machine Learning Techniques for Battlefield Agents
Exploratory Team under the IST panel
Some topics to be covered: Current applications of ML Potential applications in Defence (all Forces) Potential barriers for application Most appropriate ML techniques Systems engineering aspects of ML
3 meetings in 2012, 1st in Amsterdam, early 2012
Leading to a Research Task Group
TAP available!
Let us know whether you are interested to participate!