The following is a selective list. For more robotics-related publications please visit the Projects page. For an exhaustive list please visit James’ Google Scholar or ORCID pages.

  1. Chandrasekhar, A., Marshall, J. A. R., Austin, C., Navlakha, S., Gordon, D. M. (2021) Better tired than lost: turtle ant trail networks favor coherence over short edges. PLoS Computational Biology (in press).
  2. M.S. Talamali, A. Saha, J.A.R. Marshall, A. Reina. (2021) When less is more: Robot swarms adapt better to changes with constrained communication. Science Robotics 6(56): eabf1416.
  3. H. MaBouDi, A. B. Barron, S. Li, M. Honkanen, O. J. Loukola, F. Peng, W. Li, J. A. R. Marshall, A. Cope, E. Vasilaki and C. Solvi (2021) Non-numerical strategies used by bees to solve numerical cognition tasks. Proceedings of the Royal Society Series B (online first).
  4. J. A. R. Marshall. Borrowing bee brainsNew Scientist 249 (3322), 23
  1. MaBouDi, H., Marshall, J. A. R., Barron, A. (2020) Honeybees solve a multi-comparison ranking task by probability matching Proceedings of the Royal Society Series B (online first).
  1. Bose, T., Pirrone, A., Reina, A., Marshall, J.A.R. (2019) Comparison of magnitude-sensitive sequential sampling models in a simulation-based studyJournal of Mathematical Psychology (online first).

  2. Talamali, S., Bose, T., Haire, M., Xu, X., Marshall, J.A.R., Reina, A. (2019) Sophisticated collective foraging with minimalist agents: a swarm robotics test. Swarm Intelligence (online first). [PDF]

  3. Marshall, J.A.R., Reina, A., Bose, T. (2019) Multiscale Modelling Tool: Mathematical Modelling of Collective Behaviour without the Maths. PLoS one 14 (9). [PDF]

  4. Bose, T., Bottom, F., Reina, A., Marshall, J. A. R. (2019) Frequency-Sensitivity and Magnitude-Sensitivity in Decision-Making: Predictions of a Theoretical Model-Based Study. Computational Brain & Behavior (Online First) [PDF]

  5. Bose, T., Reina, A., Marshall, J. A. R. (2019) Inhibition and excitation shape activity selection: effect of oscillations in a decision-making circuit. Neural Computation 31: 870-896. [PDF]

  6. Marshall, J. A. R., Kurvers, R., Krause, J., Wolf, M. (2019) Quorums enable optimal pooling of independent judgements in biological systems. eLife 8:e40368. [PDF]

  1. Cope, A., Vasilaki, E., Minors, D., Sabo, C., Marshall, J. A. R. & Barron, A. B. (2018) Abstract concept learning in a simple neural network inspired by the insect brain. PLoS Computational Biology 14(9): e1006435 [PDF]

  2. Reina, A., Bose, T., Trianni, V. & Marshall, J. A. R. (2018) Psychophysical laws and the superorganism. Scientific Reports 8, 4387 [PDF]

  3. Booton, R., Yamaguchi, R., Marshall, J. A. R., Childs, D. Z. & Iwasa, Y. (2018) Interactions between immunotoxicants and parasite stress: implications for host health. Journal of Theoretical Biology 445, 120-127 [PDF]

  4. Pirrone, A., Azab, H., Hayden, B. Y., Stafford, T. & Marshall, J. A. R. (2018) Evidence for the speed-value trade-off: human and monkey decision making is magnitude sensitive. Decision 5, 129-142 [PDF]

  5. Richardson, T. O., Mullon, C., Marshall, J. A. R., Franks, N. R. & Schlegel, T. (2018) The influence of the few: a stable ‘oligarchy’ controls information flow in house-hunting ants. Proceedings of the Royal Society285 [PDF]

  1. Marshall, J. A. R., Brown, G. & Radford, A. N. (2017) Individual confidence-weighting and group decision-making. Trends in Ecology and Evolution 32, 636-645 [PDF]

  2. Pirrone, A., Marshall, J. A. R. & Stafford, T. (2017) A drift diffusion model account of the semantic congruity effect. Journal of Numerical Cognition 3, 77-96 [PDF]

  3. Quickfall, C. G. & Marshall, J. A. R. (2017) The evolution of mutualism with modifiers. Ecology & Evolution 7, 6114-6118 [PDF]

  4. Ramirez, J. C. & Marshall, J. A. R. (2017) Can natural selection encode Bayesian priors? Journal of Theoretical Biology 426, 57-66 [PDF]

  5. Reina, A., Trianni, V., Marshall, J. A. R. & Bose, T. (2017) A model of the best-of-N nest-site selection process in honeybees. Physical Review E 95, 052411 [PDF]

  6. Bose, T., Reina, A. Marshall, J. A. R. (2017) Collective decision-making. Current Opinion in Behavioral Sciences 16, 30-34 [PDF]

  7. Booton, R. D., Iwasa, Y., Marshall, J. A. R. & Childs, D. Z. Stress-mediated Allee effects can cause the sudden collapse of honey bee colonies. Journal of Theoretical Biology 420, 213-219 [PDF]

  8. Cope, A. J., Sabo C., Vasilaki, E., Barron, A. B. & Marshall, J. A. R. (2017) A computational model of the integration of landmarks and motion in the insect central complex. PLoS one 12(2): e0172325 [PDF]

  1. Marshall, J. A. R. (2016) What is inclusive fitness theory, and what is it for? Current Opinion in Behavioural Sciences 12, 103-108 [PDF]

  2. Reid, C. R., MacDonald, H., Mann, R. P., Marshall, J. A. R., Latty, T. & Garnier, S. (2016) Decision-making without a brain: how an amoeboid organism solves the two-armed bandit. Journal of the Royal Society: Interface 13: 20160030 [PDF]

  3. Cope, A., Sabo, C., Gurney, K., Vasilaki, E. & Marshall, J. A. R. (2016) A model for an angular velocity-tuned motion detector accounting for deviations in the corridor-centering response of the bee. PLoS Computational Biology 12(5): e1004887 [PDF]

  1. Barron, A., Gurney, K., Meah, L. F., Vasilaki, E. & Marshall, J. A. R. (2015) Decision-making and action selection in insects: inspiration from vertebrate-based theories. Frontiers in Behavioural Neuroscience [PDF]

  2. Marshall, J.A.R. (2015) Social Evolution and Inclusive Fitness Theory: An Introduction. Princeton University Press [order]

    • Queller, D. (2015) The theory of inclusive fitness. Quarterly Review of Biology 91, 343-347 [PDF]

    • Ulrich, E. (2016) Inclusive fitness 101: math not required. Trends in Ecology and Evolution 31, 178-179 [PDF]

    • Akçay, E. (2015) An apology for inclusive fitness theory. Evolution [PDF]

    • Allen, B. (2015) Inclusive fitness theory becomes an end in itself. BioScience 65, 1103-1104 [PDF]

    • Marshall, J. A. R. (2016) Errors in Allen’s review of Social Evolution and Inclusive Fitness Theory: An Introduction. BioScience 66, 185 [PDF]

    • Allen, B. (2016) Statistical inference is not needed when the solution Is already known. BioScience 66, 186 [PDF]

  3. Fawcett, T. W., Marshall, J. A. R. & Higginson, A. D. (2015) The evolution of mechanisms underlying behaviour. Current Zoology 61, 221-225 [PDF]

  4. Marshall, J. A. R., Favreau-Peigné, A., Fromhage, L., McNamara, J. M., Meah, L. F. S. & Houston, A. I. (2015) Cross inhibition improves activity selection when switching incurs time costs. Current Zoology 61, 242-250 [PDF]

  5. Ramírez, J. C. & Marshall, J. A. R. (2015) Self-deception can evolve under appropriate costs. Current Zoology 61, 382-396 [PDF]

  6. Marshall, J. A. R. (2015) Desperately seeking meaning (review of E. O. Wilson’s Meaning of Human Existence). BioScience 65: 328-329 [PDF]

  7. Osinga, H. M. & Marshall, J. A. R. (2015) Adaptive topographies and equilibrium selection in an evolutionary game. PLoS one 10(2): e0116307 [PDF]

  1. Birch, J. & Marshall, J. A. R. (2014) Queller’s separation condition explained and defended. American Naturalist 184, 531-540 [PDF]

  2. Marshall, J. A. R. (2014) Generalisations of Hamilton’s rule applied to non-additive public goods games with random group size. Frontiers in Ecology and Evolution 2, 40 [PDF]

  3. Pirrone, A., Stafford, T. & Marshall, J.A.R. (2014) When natural selection should optimise speed-accuracy trade-offs. Frontiers in Neuroscience 8, 73 [PDF]

  1. Cassey, T.C., Evens, D.R., Bogacz, R., Marshall, J.A.R. & Ludwig, C.J.H. (2013) Adaptive sampling of information in perceptual decision-making. PLoS one 8(11): e78993 [PDF]

  2. Pais, D., Hogan, P.M., Schlegel, T., Franks, N.R., Leonard, N.E. & Marshall, J.A.R. (2013) A mechanism for value-sensitive decision-making.  PLoS one 8(9): e73216 [PDF]

  3. Marshall, J.A.R., Trimmer, P.C., Houston, A.I. & McNamara, J.M. (2013) On evolutionary explanations of cognitive biases. Trends in Ecology and Evolution 28, 469-473 [PDF]

  4. Marshall, J.A.R., Trimmer, P.C. & Houston, A.I. (2013) Unbiased individuals use valuable information when making decisions. Trends in Ecology and Evolution 28, 444-445 [PDF]

  5. Franks, N.R., Richardson, T.O., Stroeymeyt, N., Kirby, R.W., Amos, W. M.D., Hogan, P. M., Marshall, J.A.R. & Schlegel, T. (2013) Speed-cohesion trade-offs in collective decision making in ants and the concept of precision in animal behaviour. Animal Behaviour 85, 1233-1244 [PDF]

  6. Zenil, H. & Marshall, J.A.R. (2012) Computational aspects of essential properties of evolution and life. ACM Ubiquity 2013, 1-16 [PDF]

  7. Trimmer, P.C., Marshall, J.A.R., Fromhage, L., McNamara, J.M. & Houston, A.I. (2012) Understanding the placebo effect from an evolutionary perspective. Evolution & Human Behavior 34, 8-15 [PDF]

  1. Zenil, H., Gershenon, C., Marshall, J.A.R. & Rosenblueth, D.A. (2012) Life as thermodynamic evidence of algorithmic structure in natural environments. Entropy 14, 2173-2191 [PDF]

  2. Marshall, J.A.R., Bogacz, R. & Gilchrist, I.D. (2012) Consistent implementation of decisions in the brain. PLoS one 7(9): e43443 [PDF]

  3. Marshall, J.A.R. & Neumann, F. (2012) Foundations of search – a perspective from computer science. In: Todd, Hills & Robbins (eds.) Cognitive Search: Evolution, Algorithms and the Brain. MIT Press. [PDF]

  4. Schooler L. et al. (2012) Search environments, representation, and encoding. In: Todd, Hills & Robbins (eds.) Cognitive Search: Evolution, Algorithms and the Brain. MIT Press. [PDF]

  5. Trimmer, P.C., McNamara, J.M., Houston, A.I. & Marshall, J.A.R. (2012) Does natural selection favour the Rescorla-Wagner rule? Journal of Theoretical Biology 302, 39-52 [PDF]

  6. Franklin, E., Robinson, E.J.H., Marshall, J.A.R., Sendova-Franks, A. & Franks, N.R. (2012) Do ants need to be old and experienced to teach? Journal of Experimental Biology 215, 1287-1292 [PDF]

  7. Seeley, T.D, Visscher, P.K. Schlegel, T., Hogan, P.M., Franks, N.R. & Marshall, J.A.R. (2012) Stop signals provide cross inhibition in collective decision-making by honeybee swarms. Science 335, 108-111 [PDF]

    • Perspective by Jeremy Niven [PDF]

    • Faculty of 1000 citation by Martin Giurfa [HTML]

  1. Houston, A.I., Trimmer, P.C., Fawcett, T.W., Higginson, A.D., Marshall, J.A.R. & McNamara, J.M. (2011) Is optimism optimal? Functional causes of apparent behavioural biases. Behavioral Processes 89, 172-178 [PDF]

  2. Marshall, J.A.R. (2011) Group selection and kin selection: formally equivalent approaches. Trends in Ecology and Evolution 26, 325-332[PDF]

  3. Robinson, E.J.H., Franks, N.R., Ellis, S., Okuda, S. & Marshall, J.A.R. (2011) A simple threshold rule is sufficient to explain sophisticated collective decision making. PLoS one 6(5): e19981 [PDF]

  4. Abott, P. et al. (2011) Inclusive fitness theory and eusociality. Nature 471, E1-E4 [PDF]

  5. Trimmer, P.C., Houston, A.I., Marshall, J.A.R., Mendl, M.T., Paul, E.S. & McNamara, J.M. (2011) Decision-making under uncertainty: biases and Bayesians. Animal Cognition 14, 465-476 [PDF]

  6. Marshall, J.A.R. (2011) Optimal voting in groups with convergent interests. AAAI Spring Symposium Series [PDF]

  7. Stroeymeyt, N., Robinson, E.J.H., Hogan, P.M., Marshall, J.A.R., Giurfa, M. & Franks, N.R. (2011) Experience-dependent flexibility in collective decision-making by house-hunting ants. Behavioral Ecology 22, 535-542 [PDF]

  8. Marshall, J. A. R., Bogacz, R., Planqué, R., Kovacs, T. & Franks, N. R. (2011) On optimal decision making in brains and social insect colonies. In: Seth et al. (eds.) Modelling Natural Action Selection. Cambridge University Press

  1. Trianni, V., Tuci, L., Passino, K.M. & Marshall, J.A.R. (2010) Swarm cognition: an interdisciplinary approach to the study of self-organising biological collectives. Swarm Intelligence 5, 3-18 [PDF]

  2. Marshall, J. A. R., McNamara, J. M. & Houston, A. I. (2010) The state of Darwinian theory. Behavioral Ecology and Sociobiology 65, 417-420 [PDF]

  3. Marshall, J. A. R. (2010) Ultimate causes and the evolution of altruism. Behavioral Ecology and Sociobiology 65, 503-512 [PDF]

  4. McNamara, J. M., Trimmer, P. C., Eriksson, A., Marshall, J. A. R. & Houston, A. I. (2010) Environmental variability can select for optimism or pessimism. Ecology Letters 14, 58-62 [PDF]

  5. Marshall, J. A. R. (2010) Queller’s rule OK: comment on van Veelen ‘when inclusive fitness is right and when it can be wrong’. Journal of Theoretical Biology 270, 185-188 [PDF]

  1. Marshall, J. A. R. (2009) The donation game with roles played between relatives. Journal of Theoretical Biology 260, 386-391 [PDF]

  2. Marshall, J. A. R. & Franks, N. R. (2009) Colony-level cognition. Current Biology 19, R395-R396 [PDF]

  3. Marshall, J. A. R., Bogacz, R., Dornhaus, A. Planqué, R., Kovacs, T. & Franks, N. R. (2009) On optimal decision making in brains and social insect colonies. Journal of the Royal Society: Interface 6, 1065-1074 [PDF]

  4. Franks, N. R., Dornhaus, A., Marshall, J. A. R. & Dechaume-Moncharmont, F. X. (2009) The dawn of a golden age in mathematical insect sociobiology. In: Gadau and Fewell (eds.) Organization of Insect Societies. Harvard University Press.

  1. Trimmer, P., Bogacz, R., Houston, A. I., Marshall, J. A. R., McNamara, J. M., Mendl, M., Paul, E. (2008) Mammalian choices: combining fast-but-innacurate and slow-but-accurate decision-making systems. Proceedings of the Royal Society B 275, 2353-2361 [PDF]

  1. Franks, N. R., Hooper, J. W., Gumn, M., Bridger, T. H., Marshall, J. A. R., Gross, R. & Dornhaus, A. (2007) Moving targets: collective decisions and flexible choices in house-hunting ants. Swarm Intelligence 2, 81-94 [PDF]

  2. Planqué, R., Dechaume-Moncharmont, F. X., Franks, N. R., Kovacs, T. & Marshall, J. A. R. (2007) Why do house-hunting ants recruit in both directions? Naturwissenschaften 94, 1028-1042 [PDF]

  3. Planqué, R., Dornhaus, A., Franks, N. R., Kovacs, T. & Marshall, J. A. R. (2007) Weighting waiting in collective decision-making. Behavioral Ecology and Sociobiology 61, 347-356 [PDF]

  4. Marshall, J. A. R. & Franks, N. R. (2007) Computer modelling in behavioral and evolutionary ecology: whys and wherefores. In: Laubichler and Müller (eds.) Modelling Biology – Structures, Behaviors, Evolution. Vienna Series in Theoretical Biology, MIT Press.

  1. Marshall, J. A. R., Dornhaus, A., Franks, N. R. & Kovacs, T. (2006) Noise, cost and speed-accuracy trade-offs: decision making in a decentralized system. Journal of the Royal Society: Interface 3, 243-254 [PDF]

  1. Marshall, J. A. R. (2004) Review of “The Structure of Evolutionary Theory” by S. J. Gould. Artificial Life 10, 113-115 [PDF]

  1. Marshall, J. A. R. & Rowe, J. E. (2003) Viscous populations and their support for reciprocal cooperation. Artificial Life 9, 327-334 [PDF]

  2. Marshall, J. A. R. & Rowe, J. E. (2003) Kin selection may inhibit the evolution of reciprocation. Journal of Theoretical Biology 222, 331-335 [PDF]