Information Provenance for Evaluating Autonomy

TY - CHAP

T1 - Information Provenance for Evaluating Autonomy

AU - Lucero, Crisrael

AU - Huynh, Trung Dong

AU - Lange, Doug

AU - Moreau, Luc

PY - 2019/8/10

Y1 - 2019/8/10

N2 - Provenance is information about entities, activities, and people involved in producing a piece of data or thing, which can be used to form assessments about its quality, reliability, or trustworthiness. Within the context of evaluating adaptive and autonomous systems, information provenance can prove to be a valuable tool. Through instrumentation and modeling, we describe the potential of the Provenance Data Model (PROV-DM) for enabling provenance-aware autonomous systems and how evaluation can be accomplished onto the system’s application provenance.

AB - Provenance is information about entities, activities, and people involved in producing a piece of data or thing, which can be used to form assessments about its quality, reliability, or trustworthiness. Within the context of evaluating adaptive and autonomous systems, information provenance can prove to be a valuable tool. Through instrumentation and modeling, we describe the potential of the Provenance Data Model (PROV-DM) for enabling provenance-aware autonomous systems and how evaluation can be accomplished onto the system’s application provenance.

M3 - Meeting abstract

BT - IJCAI-19 Workshop on Evaluation of Adaptive Systems for Human-Autonomy Teaming (EASyHAT)

ER -