Show simple item record

dc.contributor.author Chen, Peng
dc.contributor.author Plale, Beth
dc.contributor.author Evans, Tom
dc.date.accessioned 2013-08-28T15:57:17Z
dc.date.available 2013-08-28T15:57:17Z
dc.date.issued 2013-08
dc.identifier.citation Chen, Peng, Beth Plale, and Tom Evans. “Dependency Provenance in Agent Based Modeling.” Preprint of paper accepted for the 9th IEEE International Conference on eScience (eScience 2013), submitted August 1, 2013. en_US
dc.identifier.uri http://hdl.handle.net/2022/16745
dc.description.abstract Researchers who use agent-based models (ABM) to model social patterns often focus on the model's aggregate phenomena. However, aggregation of individuals complicates the understanding of agent interactions and the uniqueness of individuals. We develop a method for tracing and capturing the provenance of individuals and their interactions in the NetLogo ABM, and from this create a "dependency provenance slice", which combines a data slice and a program slice to yield insights into the cause-effect relations among system behaviors. To cope with the large volume of fine-grained provenance traces, we propose use-inspired filters to reduce the amount of provenance, and a provenance slicing technique called "non-preprocessing provenance slicing" that directly queries over provenance traces without recovering all provenance entities and dependencies beforehand. We evaluate performance and utility using a well known ecological NetLogo model called "wolf-sheep-predation". en_US
dc.language.iso en_US en_US
dc.subject Agent Based Modeling en_US
dc.subject Dependency provenance en_US
dc.title Dependency Provenance in Agent Based Modeling en_US
dc.type Preprint en_US
dc.altmetrics.display true en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search IUScholarWorks


Advanced Search

Browse

My Account

Statistics