Goal-Driven Autonomy (GDA)

Goal Driven Autonomy (GDA) is a new goal reasoning method for problem solving in which autonomous agents dynamically identify and self-select their goals throughout execution. The objective of goal-driven autonomy (GDA) is to enable autonomous agents to direct the focus of their activities, and thus become more self-sufficient.

This project aims to study of Goal-driven autonomy (GDA) agents that are capable of learning expectations, explanations, and goals in such a way that they can (1) identify situations where discrepancies take place between what they expect and what actually happens, (2) explain the discrepancy, (3) decide which goals to achieve as a result of these explanations, and (4) act to accomplish these goals. These agents will be able to act in complex environments, which exhibit nondeterministic action outcomes and are dynamic with changes occurring independently of the agent’s own actions.


The following people have been involved with the project at various points:



Contact author: Hector Munoz-Avila

This material is based upon work supported by the National Science Foundation under Grant No. NSF 1217888. Any opinions, findings and conclusions or recomendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation (NSF)

Last updated: 7.20.2015