![Beet with green leaves and robotic wheels in the middle of a library with shelves in front and behind it that are filled with periodicals. The robotic beet is looking toward the shelf on the left. Generated with AI via Adobe Firefly.](https://pavliclab.org/wp-content/uploads/2024/06/robotic_beet_with_wheels_looking_at_library_periodicals_wide.webp)
Selected Publications
A representative sample of publications from the lab are listed below, grouped into categories to help provide context for their contribution. For a more complete and up-to-date list, see the PI’s Google Scholar page.
Table of Contents
Life and Social Sciences
Animal Behavior: Collective Decision-Making/Intelligence
Burchill, A.T., T.P. Pavlic, S.C. Pratt, and C.R. Reid. Weaver ants regulate the rate of prey delivery during collective vertical transport. Journal of Experimental Biology (IF=3.2), 226(19):jeb245634. 2023. doi:10.1242/jeb.245634
Navas Zuloaga, M.G., K.M. Baudier, J.H. Fewell, N. Ben-Asher, T.P. Pavlic, and Y. Kang. A Modeling Framework for Adaptive Collective Defense: Crisis Response in Social-Insect Colonies. Journal of Mathematical Biology (IF=2.0), 87:87. 2023. doi:10.1007/s00285-023-01995-5
Baudier, K.M., and T.P. Pavlic. Multi-Level Instrumentation of Bivouac Thermoregulation: Current Methods and Future Directions. Artificial Life and Robotics (IF=1.04), 27:308–315. 2022. doi:10.1007/s10015-022-00759-6
Baudier, K.M., and T.P. Pavlic. Incidental interactions among Neotropical army-ant colonies are met with self-organized walls of ants (Hymenoptera: Formicidae). Myrmecological News (IF=2.6, 15/111 in Entomology), 30:251–258. 2020. doi:10.25849/myrmecol.news_030:251
Baudier, K.M., M.M. Bennett, M.M. Ostwald, S. Hart, T.P. Pavlic, and J.H. Fewell. Age-based changes in kairomone response mediate task partitioning in stingless bee soldiers (Tetragonisca angustula). Behavioral Ecology (IF=3.347, 10/168 in Zoology), 74(10):1–9. 2020. doi:10.1007/s00265-020-02902-4
Baudier, K.M., M. Ostwald, C. Grueter, F. Segers, D. Roubik, T.P. Pavlic, S. Pratt, and J. Fewell. Changing of the guard: flexible specialization and age polyethism in nest defense of the stingless bee Tetragonisca angustula. Behavioral Ecology (IF=3.347, 10/168 in Zoology), 30(4):1041–1049. 2019. doi:10.1093/beheco/arz047
Animal Behavior: Foraging Theory and Nutrition
Pavlic, T.P., and K.M. Passino. The sunk-cost effect as an optimal rate-maximizing behavior. Acta Biotheoretica (IF=0.950), 59(1):53–66, 2011. doi:10.1007/s10441-010-9107-8
Pavlic, T.P., and K.M. Passino. When rate maximization is impulsive. Behavioral Ecology and Sociobiology (IF=2.382), 64(8):1255–1265, August 2010. doi:10.1007/s00265-010-0940-1
Animal Behavior: Biomechanics
Hunter, A.H., T.P. Pavlic, M.J. Angilletta Jr., R.S. Wilson. Identifying the best strategy for soccer penalty success: A predictive model for optimizing behavioural and biomechanical trade-offs. Journal of Biomechanics (IF=1.617), 141:111208. 2022. doi:10.1016/j.jbiomech.2022.111208
Animal Behavior: Methods
X. Guo, M.R. Lin, L.P. Saldyt, A. Azizi, Y. Kang, T.P. Pavlic, and J.H. Fewell. Decoding alarm signal propagation of seed-harvester ants using automated movement tracking and supervised machine learning. Proceedings of the Royal Society B: Biological Sciences (IF=4.637), 289:20212176. 2022. doi:10.1098/rspb.2021.2176
Choi, T., B.P. Pyenson, J. Liebig, and T.P. Pavlic. Beyond Tracking: Using Deep Learning to Discover Novel Interactions in Biological Swarms. In: Proceedings of the 4th International Symposium on Swarm Behavior and Bio-Inspired Robotics (SWARM-2021), June 1–4, 2021. Kyoto, Japan. Best paper award. doi:10.1007/s10015-022-00753-y
Choi, T., B.P. Pyenson, J. Liebig, and T.P. Pavlic. Identification of Abnormal States in Videos of Ants Undergoing Social Phase Change. In: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI-21), 35(17):15286–15292, February 4–6, 2021. Virtual conference. doi:10.1609/aaai.v35i17.17794
Valentini, G., N. Mizumoto, S.C. Pratt, T.P. Pavlic, and S.I. Walker. Revealing the structure of information flows discriminates similar animal social behaviors. eLife (IF=7.080), 9:e55395. 2020. doi:10.7554/eLife.55395
Burchill, A., and T.P Pavlic. Dude, Where’s my Mark? Creating Robust Animal Identification Schemes Informed by Communication Theory. Animal Behaviour (IF=2.689), 154:203–208. 2019. doi:10.1016/j.anbehav.2019.05.013
Neuroscience
Navas Zuloaga, M.G., T.P. Pavlic, and B.H. Smith. Alternative model systems for cognitive variation: eusocial-insect colonies. Trends in Cognitive Sciences (IF=15.4), 26(10):836–848. 2022. Invited. doi:10.1016/j.tics.2022.06.011
Baudier, K.M., M.M. Bennett, M. Barrett, F.J. Cossio, R.D. Wu, S. O’Donnell, T.P. Pavlic, and J.H. Fewell. Soldier neural architecture is temporarily modality specialized but poorly predicted by repertoire size in the stingless bee Tetragonisca angustula. Journal of Comparative Neurology (IF=3.331), 530(4):672–682. 2022. doi:10.1002/cne.25273
Social Systems
Pavlic, T.P. Social Models from Non-Human Systems. In: P. Davis, J. Pfautz, and Angela O’Mahony (Eds), Social-Behavioral Modeling for Complex Systems, ch. 11, pp. 231–261. John Wiley & Sons, 2019. Invited book chapter. doi:10.1002/9781119485001.ch11
Pavlic, T.P., and S.C. Pratt. Superorganismic Behavior via Human Computation. In: P. Michelucci (Ed.), Handbook of Human Computation, ch. 74, pp. 911–960. Springer, New York, NY, 2013. Invited book chapter. doi:10.1007/978-1-4614-8806-4_74
Information in Living Systems
Valentini, G, T.P. Pavlic, S.I. Walker, S.C. Pratt, D. Biro, and T. Sasaki. Naïve individuals promote collective exploration in homing pigeons. eLife (IF=7.080), 10:e68653. 2022. doi:10.7554/eLife.68653
Caetano-Anollés, K., B. Ewers, S. Iyer, J.R. Lucas, T.P. Pavlic, A.P. Seale, and Y. Zeng. A minimal framework for describing living systems: a multi-dimensional view of life across scales. Integrative and Comparative Biology (IF=2.637), 61(6):2053–2065. 2021. Authors in alphabetical order. doi:10.1093/icb/icab172
Weinstein, S., and T.P. Pavlic. Noise and function. In: S.I. Walker, P.C.W. Davies, and G.F.R. Ellis (Eds), From Matter to Life: Information and Causality, ch. 9, pp. 126–143. Cambridge University Press, 2017. Invited book chapter. doi:10.1017/9781316584200.009
Pavlic, T.P., A. Adams, P.C.W. Davies, and S.I. Walker. Self-referencing cellular automata: A model of the evolution of information control in biological systems. In: Proceedings of the 14th International Conference on the Synthesis and Simulation of Living Systems (ALIFE 14), July 30 – August 2, 2014. New York, NY, USA. doi:10.7551/978-0-262-32621-6-ch083
Ecological Applications (Conservation, IPM, etc.)
Jobe, N.B., A. Chourasia, B.H. Smith, E. Molins, A. Rose, T.P. Pavlic, K.P. Paaijmans. Using electric fields to control insects: Current applications and future directions. Journal of Insect Science (IF=2.2), 24(1):8. 2024. doi:10.1093/jisesa/ieae007
Wheatley, R., T.P. Pavlic, O. Levy, and R.S. Wilson. Habitat features and performance interact to determine the outcomes of terrestrial predator–prey pursuits. Journal of Animal Ecology (IF=5.07), 89(12):2951–2971. 2020. doi:10.1111/1365-2656.13353
Wilson, R.S., T.P. Pavlic, R. Wheatley, A.C. Niehaus, and O. Levy. Modeling escape success in terrestrial predator–prey interactions. Integrative and Comparative Biology (IF=2.637), 60(2):497–508. 2020. doi:10.1093/icb/icaa070
Engineering and Design
Robotics: AI
Choi, T., and T.P. Pavlic. Automatic Discovery of Motion Patterns that Improve Learning Rate in Communication-Limited Multi-Robot Systems. In: Proceedings of the 2020 IEEE Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2020), September 14–16, 2020. Karlsruhe, Germany. doi:10.1109/MFI49285.2020.9235218
Robotics: Bio-Inspired
Pavlic, T.P., J. Hanson, G. Valentini, S.I. Walker, and S.C. Pratt. Quorum sensing without deliberation: Biological inspiration for externalizing computation to physical spaces in multi-robot systems. Swarm Intelligence (IF=2.556), 15(1):171–203. 2021. doi:10.1007/s11721-021-00196-4
Pavlic, T.P., S. Wilson, G.P. Kumar, and S. Berman. Control of stochastic boundary coverage by multi-robot systems. Journal of Dynamic Systems, Measurement, and Control (IF=1.304), 137(3):034505, October 21, 2014. doi:10.1115/1.4028353
Bowers, K.P., L.G. Strickland, G. Cooke, C. Pippin, and T.P. Pavlic. Trust-based Information Propagation on Multi-robot Teams in Noisy Low-communication Environments. In: Proceedings of the 14th International Symposium on Distributed Autonomous Robotic Systems (DARS 2018; acceptance rate 36%), October 15–17, 2018. Boulder, CO, USA. doi:10.1007/978-3-030-05816-6_17
Strickland, L.G., K. Baudier, K.P. Bowers, T.P. Pavlic, and C. Pippin. Bio-Inspired Role Allocation of Heterogeneous Teams in a Site Defense Task. In: Proceedings of the 14th International Symposium on Distributed Autonomous Robotic Systems (DARS 2018; acceptance rate 42%), October 15–17, 2018. Boulder, CO, USA. doi:10.1007/978-3-030-05816-6_10
Cooke, G., E. Squires, L. Strickland, K. Bowers, C. Pippin, T.P. Pavlic, and S.C. Pratt. Bio-inspired nest-site selection for distributing robots in low-communication environments. In: Proceedings of the 16th International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS 2018), June 20–22, 2018. Toledo, Spain. doi:10.1007/978-3-319-94779-2_44
Pavlic, T.P., and K.M. Passino. Distributed and Cooperative Task Processing: Cournot Oligopolies on a Graph. IEEE Transactions on Cybernetics (IF=11.079), 44(6):774–784, June 2014. doi:10.1109/TCYB.2013.2271776
Pavlic, T.P., S. Wilson, G.P. Kumar, and S. Berman. An enzyme-inspired approach to stochastic allocation of robotic swarms around boundaries. In: Proceedings of the 16th International Symposium on Robotics Research (ISRR 2013), pp. 631–647, December 16–19, 2013. Singapore. doi:10.1007/978-3-319-28872-7_36
Pavlic, T.P., and K.M. Passino. Generalizing foraging theory for analysis and design. The International Journal of Robotics Research (IF=4.047), 30(5):505–523, 2011. doi:10.1177/0278364910396551
Pavlic, T.P., and K.M. Passino. Foraging theory for autonomous vehicle speed choice. Engineering Applications of Artificial Intelligence (IF=4.201), 22(3):482–489, April 2009. doi:10.1016/j.engappai.2008.10.017
Control Systems: Bio-Inspired
Pavlic, T.P. Using Physical Stigmergy in Decentralized Optimization Under Multiple Non-separable Constraints: Formal Methods and an Intelligent Lighting Example. In: Proceedings of the 2014 Workshop on Nature Inspired Distributed Computing (NIDISC 2014 @ IPDPS 2014), pp. 402–411, May 19, 2014. Phoenix, AZ, USA. doi:10.1109/IPDPSW.2014.52
Computer Vision
Hong, J., K.H. Park, and T.P. Pavlic. Concept-Centric Transformers: Enhancing Model Interpretability through Object-Centric Concept Learning within a Shared Global Workspace. In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2024), January 4–8, 2024. [WACV Link]
Hong, J., and T.P. Pavlic. Randomly Weighted Neuromodulation in Neural Networks Facilitates Learning of Manifolds Common Across Tasks. In: Proceedings of the 2023 Workshop on Unifying Representations in Neural Models (UniReps 2023 @ NeurIPS 2023), December 15, 2023. Best UniReps Proceedings Paper Award. [arXiv preprint]
Hong, J., and T.P. Pavlic. Representing Prior Knowledge Using Randomly, Weighted Feature Networks for Visual Relationship Detection. In: Proceedings of the First International Workshop on Combining Learning and Reasoning: Programming Languages, Formalisms, and Representations (CLeaR 2022 @ AAAI-2022), February 28, 2022. [arXiv preprint]
Hong, J., and T.P. Pavlic. An Insect-Inspired Randomly Weighted Neural Network with Random Fourier Features for Neuro-Symbolic Relational Learning. In: Proceedings of the 15th International Workshop on Neural-Symbolic Learning and Reasoning (NeSy ‘20/21 @ IJCLR 2021), October 25–27, 2021. [NeSy link]