A novel framework for characterizing exposure-related behaviors using agent-based models embedded with needs-based artificial intelligence (CSSSA2016)
Descriptions of where and how individuals spend their time are important for characterizing
exposures to chemicals in consumer products and in indoor environments. Herein we create
an agent-based model (ABM) that is able to simulate longitudinal patterns in behaviors. By
basing our ABM upon a needs-based artificial intelligence (AI) system, we create agents that
mimic human decisions on these exposure-relevant behaviors. In a case study of adults, we
use the AI to predict the inter-individual variation in the start time and duration of four …
exposures to chemicals in consumer products and in indoor environments. Herein we create
an agent-based model (ABM) that is able to simulate longitudinal patterns in behaviors. By
basing our ABM upon a needs-based artificial intelligence (AI) system, we create agents that
mimic human decisions on these exposure-relevant behaviors. In a case study of adults, we
use the AI to predict the inter-individual variation in the start time and duration of four …
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