The DiODe team organises a minisymposium at the Mathematical Models in Ecology and Evolution conference taking place in London this July. In this minisymposium, recent progress on collective behaviour and decision making will be discussed by a selection of excellent speakers.
Two new papers with results of the DiODe project have been accepted recently. The review article entitled Collective Decision Making, which appeared in the journal Current Opinion in Behavioural Sciences, summarises recent progress in natural and artificial collective decision making. The other paper entitled A model of the best-of-N nest-site selection process in honeybees has been accepted for publication in Physical Review E and generalises in a theoretical study the nest site selection of honeybees to three and more options.
Salah Talamali joins the DiODe team beginning of May 2017 to investigate heterogeneities in collective decision making. His PhD project will involve the development of decision making algorithms and their implementation on the Kilobot platform, bringing the state of the art of artificial decision making closer to studying real-world scenarios using a swarm of robots.
Another way to get into the Spirit of Christmas. Enjoy!
James gave a plenary lecture at the 2nd course on Multiscale Integration in Biological Systems at the Institut Curie in November, in which he demonstrated an early prototype of the DiODe project’s new software tool for modelling collective behaviour.
James gave the opening keynote at Distributed Autonomous and Robotics Systems 2016 in London, on collective decision-making in social insect colonies and robot swarms. Giovanni’s work on value-sensitive decision-making in robot swarms featured, and was also included separately in the conference proceedings.
A swarm of 150 kilobot robots takes a value-sensitive decentralised decision between two options (red and blue). The swarm must select the best quality option if the quality is higher than a given threshold (in this study, greater than 1.5). In this experiment, the options have quality v=5 thus the swarm makes a decision for the option blue.
The overlaying coloured circles show the two options localised in the environment. The options are signalled through two static kilobot robots acting as beacons that send infrared messages with the option’s ID and quality. The robots light up their LED in a colour that corresponds to their internal commitment state: green for the uncommitted state and red and blue for commitment to the option of the respective colour.
Supplementary video of the paper:
A. Reina, T. Bose, V. Trianni and J. A. R. Marshall. “Effects of Spatiality on Value-Sensitive Decisions Made by Robot Swarms”. DARS 2016.
Chelsea Sabo and Alex Cope who were previously working on the Green Brain project have joined the DiODe project to help building a smart arena for the 900 Kilobots we have at Sheffield Robotics.
Aldo Encarnacion joined the DiODe team to work on the mathematical modelling of cellular decision making. The main part of his PhD project will involve the development of a theory that understands metabolic pathways in terms of decision making strategies.
Open position as a Research Associate in Collective Robotics for 1 year.
Application deadline 11 August 2016. More information at https://t.co/6H92Stt79c