By Dr Adam John Hepworth

Book Chapters

Hepworth AJ, 2021, 'Activity Recognition for Shepherding', in Shepherding UxVs for Human-Swarm Teaming: An Artificial Intelligence Approach to Unmanned X Vehicles, Springer International Publishing, pp. 131 - 164, http://dx.doi.org/10.1007/978-3-030-60898-9_7

Journal articles

Hepworth AJ; Hussein ASM; Reid DJ; Abbass HA, 2024, 'Contextually aware intelligent control agents for heterogeneous swarms', Swarm Intelligence, http://dx.doi.org/10.1007/s11721-024-00235-w

Hepworth AJ; Hussein A; Reid DJ; Abbass HA, 2023, 'Swarm analytics: Designing information markers to characterise swarm systems in shepherding contexts', Adaptive Behavior, 31, pp. 323 - 349, http://dx.doi.org/10.1177/10597123221137090

Hepworth AJ; Baxter DP; Abbass HA, 2022, 'Onto4MAT: A Swarm Shepherding Ontology for Generalized Multiagent Teaming', IEEE Access, 10, pp. 59843 - 59861, http://dx.doi.org/10.1109/ACCESS.2022.3180032

Hepworth AJ; Baxter DP; Hussein A; Yaxley KJ; Debie E; Abbass HA, 2021, 'Human-Swarm-Teaming Transparency and Trust Architecture', IEEE/CAA Journal of Automatica Sinica, 8, pp. 1281 - 1295, http://dx.doi.org/10.1109/JAS.2020.1003545

Hepworth A; yaxley K; Baxter D; Joiner K; Abbass H, 2020, 'Tracking Footprints in a Swarm: Information-Theoretic and Spatial Centre of Influence Measures', , http://dx.doi.org/10.36227/techrxiv.12834002

Conference Papers

Baxter D; Hepworth A; Joiner K; Abbass H, 2021, 'On the Premise of a Swarm Guidance Ontology for Human-Swarm Teaming', Baltimore, United States, presented at 65th Annual Conference of Human Factors and Ergonomics Society (HFES21), Baltimore, United States, 04 October 2021 - 08 October 2021, http://dx.doi.org/10.1177/1071181322661541

Hepworth AJ; Yaxley KJ; Baxter DP; Joiner KF; Abbass H, 2020, 'Tracking Footprints in a Swarm: Information-Theoretic and Spatial Centre of Influence Measures', in 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020, pp. 2217 - 2224, http://dx.doi.org/10.1109/SSCI47803.2020.9308537

, 2019, 'Baselining the whole-of-force capability and capacity of the Australian Defence Force', in El Sawah, S. (ed.) MODSIM2019, 23rd International Congress on Modelling and Simulation., Modelling and Simulation Society of Australia and New Zealand, presented at 23rd International Congress on Modelling and Simulation (MODSIM2019), http://dx.doi.org/10.36334/modsim.2019.b3.peacock

Hepworth AJ; Atkinson MP; Szechtman RS, 2017, 'A sequential elimination approach to value-at-risk and conditional value-at-risk selection', in Chan V; DAmbrogio A; Zacharewicz G; Mustafee N (eds.), Proceedings - Winter Simulation Conference, Institute of Electrical and Electronics Engineers (IEEE), Las Vegas, Nevada, USA, pp. 2324 - 2335, presented at Top Accessed Articles 2017 Winter Simulation Conference (WSC), Las Vegas, Nevada, USA, 03 December 2017 - 06 December 2017, http://dx.doi.org/10.1109/wsc.2017.8247963

Theses / Dissertations

Hepworth A, 2017, A multi-armed bandit approach to superquantile selection, http://hdl.handle.net/10945/55620

Working Papers

Hepworth A; Yaxley K; Baxter DH; Joiner K; Abbass H, 2020, Tracking Footprints in a Swarm: Information-Theoretic and Spatial Centre of Influence Measures (submitted, preprint online), IEEE, http://dx.doi.org, https://www.techrxiv.org/articles/preprint/Tracking_Footprints_in_a_Swarm_Information-Theoretic_and_Spatial_Centre_of_Influence_Measures/12834002/1

Preprints

Hepworth A; Hussein A; Reid D; Abbass H, 2022, Contextually Aware Intelligent Control Agents for Heterogeneous Swarms, , http://dx.doi.org/10.21203/rs.3.rs-2293295/v1

Hepworth A; Hussein A; Reid D; Abbass H, 2022, Contextually Aware Intelligent Control Agents for Heterogeneous Swarms, , http://dx.doi.org/10.48550/arxiv.2211.12560

Hepworth A; Hussein A; Reid D; Abbass H, 2022, Swarm Analytics: Designing Information Markers to Characterise Swarm Systems in Shepherding Contexts, , http://dx.doi.org/10.1177/10597123221137090

Hepworth AJ; Baxter DP; Abbass HA, 2022, Onto4MAT: A Swarm Shepherding Ontology for Generalised Multi-Agent Teaming, , http://dx.doi.org/10.1109/ACCESS.2022.3180032

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