Artificial Intelligence and One Health: Knowledge Bases for Causal Modeling

Abstract

Scientists all over the world are moving toward building database
systems based on the One Health concept to prevent and manage
outbreaks of zoonotic diseases. An appreciation of the process
of discovery with incomplete information and a recognition of the role
of observations gathered painstakingly by scientists in the field shows
that simple databases will not be sufficient to build causal models of the
complex relationships between human health and ecosystems. Rather,
it is important also to build knowledge bases which complement databases
using non-monotonic logic based artificial intelligence techniques,
so that causal models can be improved as new, and sometimes contradictory,
information is found from field studies.