Explore the words cloud of the DiODe project. It provides you a very rough idea of what is the project "DiODe" about.
The following table provides information about the project.
THE UNIVERSITY OF SHEFFIELD
|Coordinator Country||United Kingdom [UK]|
|Total cost||1˙413˙705 €|
|EC max contribution||1˙413˙705 € (100%)|
1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
|Duration (year-month-day)||from 2015-08-01 to 2020-07-31|
Take a look of project's partnership.
|1||THE UNIVERSITY OF SHEFFIELD||UK (SHEFFIELD)||coordinator||1˙413˙705.00|
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.
|year||authors and title||journal||last update|
Comment on: Optimal policy for multi-alternative decisions.
published pages: , ISSN: , DOI: 10.1101/2019.12.18.880872
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
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|
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|
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|
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|
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:
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|
Thomas Bose, Andreagiovanni Reina, James AR Marshall
published pages: 30-34, ISSN: 2352-1546, DOI: 10.1016/j.cobeha.2017.03.004
|Current Opinion in Behavioral Sciences 16||2019-06-06|
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|
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|
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|
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|
Thomas O. Richardson, Charles Mullon, James A. R. Marshall, Nigel R. Franks, Thomas Schlegel
The influence of the few: a stable â€˜oligarchyâ€™ 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|
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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The information about "DIODE" are provided by the European Opendata Portal: CORDIS opendata.
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