Simulating exposure-related behaviors using agent-based models embedded with needs-based artificial intelligence

• DOI: 10.1038/s41370-018-0052-y
• Publication Date: 2018-09-21T08:07:49Z
• Authors: Namdi Brandon; Kathie L. Dionisio; Kristin Isaacs; Rogelio Tornero-V...; Dustin Kapraun; R. Woodrow Setzer; Paul S. Price
• Keywords: Stressor; Agent-Based Model

Exposure to a chemical is critical consideration in the assessment of risk, as it adds real-world context toxicological information. Descriptions where and how individuals spend their time are important for characterizing exposures chemicals consumer products indoor environments. Herein we create an agent-based model (ABM) that simulates longitudinal patterns human behavior. By basing ABM upon artificial intelligence (AI) system, agents mimic decisions on performing behaviors relevant determining other stressors. We implement computer program called Agent-Based Model Human Activity Patterns (ABMHAP) predicts sleeping, eating, commuting, working. then show ABMHAP capable simulating behavior over extended periods time. propose this framework, models based it, can generate data use exposure assessments.