Computational adjustable autonomy for NASA Personal Satellite Assistants

Authors:
Henry Hexmoor;Justin Tyrel Vaughn
Affiliations:
University of Arkansas, Fayetteville, AR;University of Arkansas, Fayetteville, AR
Venue:
Proceedings of the 2002 ACM symposium on Applied computing
Year:
2002

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Abstract

We will describe a simulator and simulated teamwork among a number of Personal Satellite Assistants (PSA) onboard the simulated space station patrolling for problem detection and isolation. PSAs reason about autonomies of potential helpers while helpers reason about their autonomies for deciding to help or to break away from prior commitments to help. We describe algorithms for computing PSA autonomies when there are concurrent and conflicting situations. We also offer empirical results about qualities of help a recruiting PSA receives when there are multiple, concurrent problems.