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Contextualizing Observational Data For Modeling Human Performance, Viet Trinh
Contextualizing Observational Data For Modeling Human Performance, Viet Trinh
Electronic Theses and Dissertations
This research focuses on the ability to contextualize observed human behaviors in efforts to automate the process of tactical human performance modeling through learning from observations. This effort to contextualize human behavior is aimed at minimizing the role and involvement of the knowledge engineers required in building intelligent Context-based Reasoning (CxBR) agents. More specifically, the goal is to automatically discover the context in which a human actor is situated when performing a mission to facilitate the learning of such CxBR models. This research is derived from the contextualization problem left behind in Fernlund's research on using the Genetic Context Learner …
A Reinforcement Learning Technique For Enhancing Human Behavior Models In A Context-Based Architecture, David Aihe
A Reinforcement Learning Technique For Enhancing Human Behavior Models In A Context-Based Architecture, David Aihe
Electronic Theses and Dissertations
A reinforcement-learning technique for enhancing human behavior models in a context-based learning architecture is presented. Prior to the introduction of this technique, human models built and developed in a Context-Based reasoning framework lacked learning capabilities. As such, their performance and quality of behavior was always limited by what the subject matter expert whose knowledge is modeled was able to articulate or demonstrate. Results from experiments performed show that subject matter experts are prone to making errors and at times they lack information on situations that are inherently necessary for the human models to behave appropriately and optimally in those situations. …