Peer-Reviewed Journal Articles:
2021
22. Attwell, J.R., Ioannou, C.C., Reid, C.R. & Herbert-Read, J.E. (2021), ‘Fish avoid visually noisy environments where prey targeting is reduced’, American Naturalist, 198(3), pp.421-432.
21. *Lutz, M.J., *Reid, C.R., Lustri, C.J., Kao, A.B., Garnier, S. & Couzin, I.D. (2021), ‘Individual error correction drives responsive self-assembly of army ant scaffolds’, Proceedings of the National Academy of Sciences of the USA 118(17)
2020
20. Dunn, L., Lequerica, M.T., Reid, C.R. & Latty, T. (2020), “Dual ecosystem services of syrphid flies (Diptera: Syrphidae): pollinators and biological control agents”, Pest Management Science, 76(6), pp. 1973-1979.20
19. Tasker, P., Reid, C., Young, A.D., Threlfall, C.G. and Latty, T. (2019), “If you plant it, they will come: quantifying attractiveness of exotic plants for winter-active flower visitors in community gardens”, Urban Ecosystems, pp.1-10
2019
18. Hosokawa, A., Reid, C.R. & Latty, T. (2019), ‘Slimes in the city: The diversity of myxomycetes from inner-city and semi-urban parks in Sydney, Australia’, Fungal Ecology, 39, 37-44.
17. Middleton E.J.T., Garnier, S., Latty, T. & Reid, C.R. (2019), ‘Temporal and spatial pattern of trail clearing in the Australian meat ant, Iridomyrmex purpureus’, Animal Behaviour, 150.
16. Luo, D., Reid, C.R., Makinson, J.C., Beekman, M. & Latty, T. (2018), ‘Route selection but not trail clearing are influenced by detour length in the Australian meat ants’, Insectes Sociaux, 1-10.
16. Ray, S.K, Valentini, G., Shah, P., Haque, A., Reid, C.R., Weber, G.F. & Garnier, S. (2019), “Information Transfer During Food Choice in the Slime Mold Physarum polycephalum”, Frontiers in Ecology and Evolution, 7.
2018
15. Middleton, E.J.T., Reid, C.R., Mann, R.P. & Latty, T. (2018), ‘Social and private information influence the decision making of Australian meat ants (Iridomyrmex purpureus)’, Insectes Sociaux, 65(4).
2017
14. Wolff, J.O., Wells, D., Reid, C.R. & Blamires, S.J. (2017), ‘Clarity of objectives and working principles enhances the success of biomimetic programs’, Bioinspiration and Biomimetics 12 (5), 051001.
13. Smith-Ferguson, J., Reid, C.R., Latty, T. & Beekman, M. (2017), ‘Hänsel, Gretel and the slime mould–how an external spatial memory aids navigation in complex environments’, Journal of Physics D: Applied Physics 50 (41), 414003.
12. Bell, M., Perera, S., Piraveenan, M., Bliemer, M., Latty, T. & Reid, C., Network growth models: A behavioural basis for attachment proportional to fitness, Scientific Reports 7, 42431.
2016
11. Reid, C.R. & Latty, T., Collective Behaviour and Swarm Intelligence in Slime Moulds, FEMS Microbiology Reviews 40:6, 798-806.
10. Reid, C.R., MacDonald, H., Mann, R.P., Marshall, J.A.R., Latty, T. & Garnier, S., Decision-making without a brain: How an amoeboid organism solves the two-armed bandit, Journal of the Royal Society Interface 13.119, 20160030.
2015
9. Reid, C.R.*, Lutz, M.J.*, Powell, S., Kao, A.B., Couzin, I.D. & Garnier, S. (2015), Army ants dynamically adjust living bridges in response to a cost-benefit trade-off, Proceedings of the National Academy of Sciences of the USA 112:49, 15113-8
8. Reid, C.R., Garnier, S., Beekman, M. & Latty, T. (2015), Information integration and multiattribute decision making in non-neuronal organisms, Animal Behaviour 100, 44-50
2013
7. Reid, C.R., Beekman, M., Latty, T. & Dussutour, A. (2013), Amoeboid organism uses extracellular secretions to make smart foraging decisions, Behavioral Ecology 24:4, 812-818
6. Reid, C.R. & Beekman, M. (2013), Solving the Towers of Hanoi – how an amoeboid organism efficiently constructs transport networks, The Journal of Experimental Biology 216, 1546-1551
2012
5. Reid, C.R., Latty, T. & Beekman, M. (2012), Making a trail; informed Argentine ants lead colony to the best food by U-turning coupled with enhanced pheromone-laying, Animal Behaviour 84, 1579-1587
4. Reid, C.R., Latty, T., Dussutour, A. & Beekman, M. (2012), Slime mould uses an externalized spatial ‘memory’ to navigate in complex environments, Proceedings of the National Academy of Sciences of the USA 109, 17490-4
3. Ramsch, K., Reid, C.R., Beekman, M. & Middendorf, M. (2012), A mathematical model of foraging in a dynamic environment by trail-laying Argentine ants, Journal of Theoretical Biology 306, 32-45
2011
2. Reid, C.R., Sumpter, D.J.T. & Beekman, M. (2011), Optimisation in a natural system; Argentine ants solve the Towers of Hanoi, The Journal of Experimental Biology 214, 50-58
2006
1. Pearson, S., Siu, K., Hall, C., Reid, C. & Falzon, G. (2006), Small-angle X-ray scattering and second-harmonic generation imaging studies of collagen in invasive carcinoma, Australian Institute of Physics, 17th National Congress
*both authors contributed equally to this work
International Patents:
2008
1. Todd, A., Mokany, E., Birkett, D., Doan, T. & Reid, C., ‘Molecular Switches and Methods for their Use’, IPC: C12Q 1/70 (2006.01), Publication Number WO/2008/040095, International filing date 5/10/07, Publication date 10/4/08
Science Communication:
2021
Bridges, highways, scaffolds: how the amazing engineering of army ants can teach us to build better, The Conversation
2012
The Brainless Slime Mould That Remembers Where it’s Been, The Conversation
Selected Talks and Presentations:
2022: International Union for the Study of Social Insects (IUSSI), San Diego, USA, Decoding the behavioural rules of ant self-assembly
2018: International Conference on Robotics and Automation (ICRA), Brisbane, Australia, How ants are like Voltron: distrubuted self-assembly of structures in army ants and weaver ants (invited, all expenses paid)
2015: Max Planck Collective Behavior Symposium, Konstanz, Germany, Brain of the Blob: Understanding biological decision-making at the cellular level (invited, all expenses paid)
2014: Entomological Society of America (ESA), Portland, Oregon, The self-organisation of living bridges in Eciton hamatum army ants’ (invited)
2014: Social Insects iN the North-East RegionS (SINNERS) 4, Cornell University, New York, The self-organisation of living bridges in Eciton hamatum army ants
2014: Biological Distributed Algorithms, Austin, Texas, Cellular decision making: How an amoeboid organism solves the Two-armed Bandit problem
2014: International Union for the Study of Social Insects (IUSSI) 17th Congress, Cairns, Australia, Cellular Decision-making; How Slime Mould Cracks the Two-Armed Bandit
2014: Social Insects iN the North-East RegionS (SINNERS) 3, University of Pennsylvania, Investigating the self-organized living architectures of Eciton army ants
2014: Collective Dynamics of Communities and Populations, Princeton University, Dynamics of self-organized living architectures in Eciton army ants (invited)
2013: Social Insects iN the North-East RegionS (SINNERS) 2.0, Rockefeller University Field Research Center, Millbrook, New York, Memory in Mass Recruitment; Illuminating the Role of Forager Experience in Dynamic Foraging
2013: Behaviour 2013 – combined International Ethological Conference and Association for the Study of Animal Behaviour, Newcastle-Gateshead, UK, Blob Breaks Bank: an Amoeboid Organism’s Strategy for Solving the Two-Armed Bandit Problem
2013: Animal Behavior Society 50th Annual Conference, University of Colorado, Boulder, USA, The Exploration-Exploitation Tradeoff in an Amoeboid Organism: Slime Mold vs the Two-Armed Bandit
2013: Social Insects iN the North-East RegionS (SINNERS) 1.0, New Jersey Institute of Technology, Collective Decision Making and Problem Solving – a Few Ant Experiments
2012: Collective Behaviour of Social Insects and Related Topics, Hiroshima University, Japan, No Mistake; U-turns Drive Collective Food Choice in Argentine Ants, (invited, all expenses paid)
2012: Ethology and Rheology of Physarum and it’s Related Topics, Future University, Hakodate, Japan, Extracellular Information Use by Slime Mould; Potential for Enhancing Optimisation Algorithms (invited, all expenses paid)
2012: Australian Society for the Study of Animal Behaviour Conference, Geelong, Australia, Slime Mould Uses an External Spatial ‘Memory’ to Navigate in Complex Environments (Best Student Talk Award)
2011: Problem Solving by Slime Moulds, Uppsala University, Sweden, Mechanisms of Dynamic Problem Solving in Nature: an Empirical Approach (invited, all expenses paid)
2011: Australian Evolution Society and IUSSI Australasian Section Joint Conference, James Cook University, Townsville, Australia, Context and State-dependent Trail Pheromone Modulation in the Argentine Ant
2010: International Union for the Study of Social Insects (IUSSI) 16th Congress, Copenhagen, Denmark, Optimization in Natural Systems; Argentine Ants Solve the Towers of Hanoi
2009: Biological Problem Solving, Crommelin Research Station, Sydney, Towers of Hanoi as a Model Optimization Problem for Natural Systems (invited)
Departmental seminars
2015: School of Biological Sciences, University of Sydney, Social Structures; New Insights into the Living Architectures Built by Eciton Army Ants
2013: Biological Sciences, Sussex University, Distributed Brains; Collective Decision Making and Problem Solving in Ant Colonies and Slime Mould
2013: Biological Sciences, NJIT/Rutgers University, Collective Decision Making and Problem Solving in Ants and Slime Mold
2013: Integrated Behavior Research Group, Princeton University, Goo for Brains; How Slime Molds Use an Externalized Spatial Memory for Navigation and Foraging
2012: School of Biological Sciences, University of Sydney, Slime Mould Uses an Externalised Spatial ‘Memory’ to Navigate in Complex Environments
2010: School of Biological Sciences, University of Sydney, How do Natural Systems Solve Dynamic Optimization Problems?
Chris R. Reid 