Multi-Agent Active Search (MAAS) is an active learning problem with the objective of locating sparse targets in unknown environment by actively making data-collection decisions. Recently proposed algorithms, although well-motivated from a theoretical perspective, are limited three key ways: they either explicitly myopic (e.g. respect to information gain) or introduce strong biases that fall sho...

We present a set of problem frames specialized to the area of geographic applications. Problem frames describe the elements of common problems, and help a specifier understand and decompose a complex problem into simpler subproblems for which a solution is often known. We provide an overview of the main issues in geographic applications, and present twelve frames that address many of the proble...