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E. R.  Hunt, ?What Could Models of Superorganismal Cognition Offer to Embodied AI??, IOP Conference Series: Materials Science and Engineering, vol. 1261, p. 012023, 2022.\par \par E. R.  Hunt, Franks, N. R., and Baddeley, R. J., ?The Bayesian Superorganism: Collective Probability Estimation in Swarm Systems?, Artificial Life Conference Proceedings, vol. 32, pp. 315-323, 2020.\par \par E. R.  Hunt and Hauert, S., ?A checklist for safe robot swarms?, Nature Machine Intelligence, vol. 2, pp. 420-422, 2020.\par \par E. R.  Hunt, ?Evolutionary Stress Factors for Adaptable Robot 'Personalities'?, in Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, 2020, pp. 1387?1388.\par \par E. R.  Hunt, ?Phenotypic Plasticity Provides a Bioinspiration Framework for Minimal Field Swarm Robotics?, Frontiers in Robotics and AI, vol. 7. p. 23, 2020.\par \par E. R.  Hunt, Jenkinson, G., Wilsher, M., Dettmann, C. P., and Hauert, S., ?SPIDER: a Bioinspired Swarm Algorithm for Adaptive Risk-Taking?, Artificial Life Conference Proceedings, vol. 32, pp. 44-51, 2020.\par \par E. R.  Hunt, Jones, S., and Hauert, S., ?Testing the limits of pheromone stigmergy in high-density robot swarms?, Royal Society Open Science, vol. 6, p. 190225, 2019.\par \par }