Date of Award

Spring 2021

Project Type

Thesis

Program or Major

Computer Science

Degree Name

Master of Science

First Advisor

Wheeler Ruml

Second Advisor

Marek Petrik

Third Advisor

Sarah Keren

Abstract

In Goal Recognition Design (GRD), the objective is to modify a domain to facilitate early detection of the goal of a subject agent. Most previous work studies this problem in the offline setting, in which the observing agent performs its interventions before the subject begins acting. In this thesis, we generalize GRD to the online setting in which time passes and the observer's actions are interleaved with those of the subject. We illustrate weaknesses of existing metrics for GRD and propose an alternative better suited to online settings. We provide a formal definition of this Active GRD (AGRD) problem and propose both an optimal algorithm and a suboptimal algorithm for solving it. AGRD occupies an interesting middle ground between passive goal recognition and strategic two-player game settings.

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