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Mark Paich

Researcher at PricewaterhouseCoopers

Publications -  2
Citations -  25

Mark Paich is an academic researcher from PricewaterhouseCoopers. The author has contributed to research in topics: Decision engineering & Social simulation. The author has an hindex of 2, co-authored 2 publications receiving 16 citations.

Papers
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Journal ArticleDOI

A long-term mechanistic computational model of physiological factors driving the onset of type 2 diabetes in an individual.

TL;DR: A computational model of the physiological mechanisms driving an individual's health towards onset of type 2 diabetes (T2D) is described, calibrated and validated using data from the Diabetes Prevention Program (DPP), and translational uses to applications in public health and personalized healthcare are discussed.
Book ChapterDOI

Incorporating Learning into Decision Making in Agent Based Models

TL;DR: This paper compares multiple techniques for modeling learning, including applying machine learning and symbolic regression to use historical patterns to design learning mechanisms, simulating reinforcement learning techniques such as q-learning to model a direct reward structure to improve learning outcomes at both the individual and group level.