TitleCase-Based Parameter Selection for Plans: Coordinating Autonomous Vehicle Teams
Publication TypeConference Proceedings
Year of Conference2014
AuthorsAuslander, B, Apker, T, Aha, DW
Conference NameProceedings of the Twenty-Second International Conference on Case-Based Reasoning
Pagination32-47
Date Published09/2014
PublisherSpringer
Conference LocationCork, Ireland
Abstract

Executing complex plans for coordinating the behaviors of multiple heterogeneous agents often requires setting several parameters. For example, we are developing a decision aid for deploying a set of autonomous vehicles to perform situation assessment in a disaster relief operation. Our system, the Situated Decision Process (SDP), uses parameterized plans to coordinate these vehicles. However, no model exists for setting the values of these parameters. We describe a case-based reasoning solution for this problem and report on its utility in simulated scenarios, given a case library that represents only a small percentage of the problem space. We found that our agents, when executing plans generated using our case-based algorithm on problems with high uncertainty, performed significantly better than when executing plans using baseline approaches.

Full Text
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https://www.nrl.navy.mil/itd/aic/sites/www.nrl.navy.mil.itd.aic/files/pdfs/Auslander-2014-ICCBR.pdf
NRL Publication Release Number: 
14-1231-1824