Peer-Reviewed Journal Articles:
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
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.
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).
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.
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.
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
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
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
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
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
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
1. ‘The Brainless Slime Mould That Remembers Where it’s Been’, The Conversation, Oct 9
Selected Talks and Presentations:
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)
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?