Ph.D. dissertation, The University of Tokyo, 2026
My Ph.D. dissertation on heterogeneous swarm dynamics as computational reservoirs, with a focus on temporal memory, nonlinear collective behavior, and reservoir computing.
Recommended citation: Lund, T. (2026). Collective Nonlinear Dynamics in Heterogeneous Swarms: A Reservoir Computing Perspective. Ph.D. dissertation, The University of Tokyo.
Published in PeerJ Computer Science, 2026
We show that simple state transitions can unlock substantial temporal memory in swarm-based reservoir computing, with memory capacity scaling linearly with swarm size across the tested range.
Recommended citation: Lund, T., Adams, A., Aubert-Kato, N., & Ikegami, T. (2026). State transitions unlock temporal memory in swarm-based reservoir computing. PeerJ Computer Science, 12:e3763. https://doi.org/10.7717/peerj-cs.3763 https://doi.org/10.7717/peerj-cs.3763
Published in ALIFE 2023: Ghost in the Machine: Proceedings of the 2023 Artificial Life Conference, 2023
Sharing stories, particularly about death, is an important part of many cultures. We explore this concept in artificial agents via Reinforcement Learning.
Recommended citation: Marcin Korecki, Cesare Carissimo, Tanner Lund; July 24–28, 2023. "aRtificiaL death: learning from stories of failure." Proceedings of the ALIFE 2023: Ghost in the Machine: Proceedings of the 2023 Artificial Life Conference. ALIFE 2023: Ghost in the Machine: Proceedings of the 2023 Artificial Life Conference. Online. (pp. 41). ASME. https://doi.org/10.1162/isal_a_00633 https://direct.mit.edu/isal/proceedings/isal/35/41/116928
Published in Alife for and from video games workshop at ALIFE2023, 2023
We investigate the viability of one popular form of automata, namely Neural Cellular Automata, as a way to more fully express life within video game settings and innovate new game mechanics or gameplay loops.
Recommended citation: Sato, H., & Lund, T., & Yoshida, T. (2023, August) Automata Quest: NCAs as a Video Game Life Mechanic. Presented at Alife for and from video games workshop at ALIFE2023. MIT Press. https://arxiv.org/abs/2309.14364
Published in 2015 ASEE Annual Conference & Exposition, 2015
Modern networks are both complex and important, requiring vigilant system administration. By implementing a practical data mining infrastructure, we are able to analyze device data and logs as part of general administrative tasks.
Recommended citation: Lund, T., & Panike, H., & Moses, S., & Rowe, D. C., & Ekstrom, J. J. (2015, June), Practical Data Mining and Analysis for System Administration Paper presented at 2015 ASEE Annual Conference & Exposition, Seattle, Washington. 10.18260/p.24570 https://peer.asee.org/practical-data-mining-and-analysis-for-system-administration