Abduction, of inference to the best explanation, is a form of inference that goes from data describing something to a hypothesis that best explains or accounts for the data.
D is a collection of data (facts, observations, givens).
H explains D (would, if true, explain D).
No other hypothesis can explain D as well as H does.
... Therefore, H is probably true.
– Josephson & Josephson, Abductive Inference
For example, geospatial abduction can pinpoint the location of a bear's cave using the coordinates of animal's droppings, or a serial killer's address using the coordinates of known killings. An AI system that Shakarian co-designed with scientists from the University of Maryland (called called SCARE-S2, for Spatio-Cultural Abductive Reasoning Engine System 2), was able to locate insurgent leaders and their major supply depots. Towards the end of July 2016, they passed MIST's coordinate guesses on to the police in Santa Fe. According to the research published by Shakarian and Snyder, a team using MIST can find a missing person average two days faster than a team without it.
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