DiODe SIGNED
Distributed Algorithms for Optimal Decision-Making
Total Cost €
0EC-Contrib. €
0Partnership
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Project "DiODe" data sheet
The following table provides information about the project.
| Coordinator |
THE UNIVERSITY OF SHEFFIELD
Organization address contact info |
| Coordinator Country | United Kingdom [UK] |
| Project website | http://diode.group.shef.ac.uk/ |
| Total cost | 1˙413˙705 € |
| EC max contribution | 1˙413˙705 € (100%) |
| Programme |
1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC)) |
| Code Call | ERC-2014-CoG |
| Funding Scheme | ERC-COG |
| Starting year | 2015 |
| Duration (year-month-day) | from 2015-08-01 to 2020-07-31 |
Partnership
Take a look of project's partnership.
| # | ||||
|---|---|---|---|---|
| 1 | THE UNIVERSITY OF SHEFFIELD | UK (SHEFFIELD) | coordinator | 1˙413˙705.00 |
Map
Project objective
This grant will develop and translate a unifying framework for optimal decision-theory, and observations of natural systems, to design distributed algorithms for decentralised decision-making. This will enable a technological step-change in techniques for controlling distributed systems, primarily demonstrated during the grant by decentralised control of robot swarms. These algorithms and associated methodology will also provide hypotheses and tools to change the way scientists think about and interrogate natural decision mechanisms, from intracellular regulatory networks, via neural decision circuits, to decision-making populations of animals. Specific objectives are:
1. Distributed value-sensitive decision-making: undertake optimality analyses of the applicant’s existing decentralised decision-making algorithms based on observations of collective iterated voting-processes in honeybees, and extend these.
2. Distributed sampling and decision-making: design distributed mechanisms that implement optimal compromises between sampling information and making decisions based on that information.
3. Individual-confidence and distributed decision-making: translate machine learning theory to collective behaviour models, designing mechanisms in which weak decision-makers optimally combine their decisions to optimise group performance.
4. Optimal distributed decision-making in collective robotics: translate theory from objective 1 to 3 towards practical applications in artificial systems, demonstrated using collectively-deciding robots.
5. Development of tools for life scientists and validation of theoretical predictions in natural systems: interact with named collaborators to investigate identified decision mechanisms in single cells, in neural circuits, and in social groups. Develop accessible modelling tools to facilitate investigations by life scientists.
Publications
| year | authors and title | journal | last update |
|---|---|---|---|
| 2019 |
James Marshall Comment on: Optimal policy for multi-alternative decisions. published pages: , ISSN: , DOI: 10.1101/2019.12.18.880872 |
BiorXiv | 2020-03-13 |
| 2019 |
Marshall, J. A. R., Kurvers, R., Krause, J., Wolf, M. Quorums enable optimal pooling of independent judgements in biological systems. published pages: , ISSN: 2050-084X, DOI: 10.7554/elife.40368.001 |
eLife 8:e40368 | 2020-03-13 |
| 2020 |
Thomas Bose, Angelo Pirrone, Andreagiovanni Reina, James A.R. Marshall Comparison of magnitude-sensitive sequential sampling models in a simulation-based study published pages: 102298, ISSN: 0022-2496, DOI: 10.1016/j.jmp.2019.102298 |
Journal of Mathematical Psychology 94 | 2020-03-13 |
| 2020 |
Thomas Bose, Freya Bottom, Andreagiovanni Reina, James A. R. Marshall Frequency-Sensitivity and Magnitude-Sensitivity in Decision-Making: Predictions of a Theoretical Model-Based Study published pages: 66-85, ISSN: 2522-0861, DOI: 10.1007/s42113-019-00031-4 |
Computational Brain & Behavior 3/1 | 2020-03-13 |
| 2020 |
Mohamed S. Talamali, Thomas Bose, Matthew Haire, Xu Xu, James A. R. Marshall, Andreagiovanni Reina Sophisticated collective foraging with minimalist agents: a swarm robotics test published pages: 25-56, ISSN: 1935-3812, DOI: 10.1007/s11721-019-00176-9 |
Swarm Intelligence 14/1 | 2020-03-13 |
| 2019 |
James A. R. Marshall, Andreagiovanni Reina, Thomas Bose Multiscale Modelling Tool: Mathematical modelling of collective behaviour without the maths published pages: e0222906, ISSN: 1932-6203, DOI: 10.1371/journal.pone.0222906 |
PLOS ONE 14/9 | 2020-03-13 |
| 2019 |
Andreagiovanni Reina, Viktor Ioannou, Junjin Chen, Lu Lu, Charles Kent, James A. R. Marshall Robots as Actors in a Film: No War, A Robot Story. published pages: , ISSN: , DOI: |
arXiv | 2020-03-13 |
| 2019 |
Thomas Bose, Andreagiovanni Reina, James A. R. Marshall Inhibition and Excitation Shape Activity Selection: Effect of Oscillations in a Decision-Making Circuit published pages: 870-896, ISSN: 0899-7667, DOI: 10.1162/neco_a_01185 |
Neural Computation 31/5 | 2020-03-13 |
| 2017 |
Thomas Bose, Andreagiovanni Reina, James AR Marshall Collective decision-making published pages: 30-34, ISSN: 2352-1546, DOI: 10.1016/j.cobeha.2017.03.004 |
Current Opinion in Behavioral Sciences 16 | 2019-06-06 |
| 2018 |
Andreagiovanni Reina, Thomas Bose, Vito Trianni, James A. R. Marshall Psychophysical Laws and the Superorganism published pages: , ISSN: 2045-2322, DOI: 10.1038/s41598-018-22616-y |
Scientific Reports 8/1 | 2019-06-06 |
| 2017 |
Andreagiovanni Reina, James A. R. Marshall, Vito Trianni, Thomas Bose Model of the best-of- N nest-site selection process in honeybees published pages: , ISSN: 2470-0045, DOI: 10.1103/PhysRevE.95.052411 |
Physical Review E 95/5 | 2019-06-06 |
| 2017 |
Andreagiovanni Reina, Alex J. Cope, Eleftherios Nikolaidis, James A. R. Marshall, Chelsea Sabo ARK: Augmented Reality for Kilobots published pages: 1755-1761, ISSN: 2377-3766, DOI: 10.1109/LRA.2017.2700059 |
IEEE Robotics and Automation Letters 2/3 | 2019-06-06 |
| 2017 |
James A.R. Marshall, Gavin Brown, Andrew N. Radford Individual Confidence-Weighting and Group Decision-Making published pages: 636-645, ISSN: 0169-5347, DOI: 10.1016/j.tree.2017.06.004 |
Trends in Ecology & Evolution 32/9 | 2019-06-06 |
| 2018 |
Thomas O. Richardson, Charles Mullon, James A. R. Marshall, Nigel R. Franks, Thomas Schlegel The influence of the few: a stable ‘oligarchy’ controls information flow in house-hunting ants published pages: 20172726, ISSN: 0962-8452, DOI: 10.1098/rspb.2017.2726 |
Proceedings of the Royal Society B: Biological Sciences 285/1872 | 2019-06-06 |
| 2016 |
Reina A., Bose T., Trianni V., Marshall, J.A.R. Effects of Spatiality on Value-Sensitive Decisions Made by Robot Swarms. published pages: , ISSN: , DOI: |
Proceedings of the 13th International Symposium on Distributed Autonomous Robotic Systems (DARS) | 2019-06-06 |
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