diodeproject Goto Github PK
Name: The DiODe Project
Type: Organization
Bio: Distributed Algorithms for Optimal Decision-Making
Location: Sheffield
Name: The DiODe Project
Type: Organization
Bio: Distributed Algorithms for Optimal Decision-Making
Location: Sheffield
This repository contains the codes used in the adaptation study
Eagle files of the new Overhead Controller of Sheffield Robotics
Simulation software to study consensus collective decisions on random networks with various decision models.
This repository contains code to generate and analyse simulated data that is used in the study of 'Frequency-sensitivity and magnitude-sensitivity in decision-making: predictions of a theoretical model-based study'.
This repository contains code to generate and analyse simulated data that is used in the study of "Inhibition and excitation shape activity selection: effect of oscillations in a decision-making circuit".
Coding Kilo-bots
A GUI for running experiments using Kilobot Smart Arena with four tracking cameras
A GUI for calibrating a Kilobot Smart Arena consisting of four tracking cameras with overlapping fields of view
Supplementary material
Code for comment on Tajima et al. (2019). Optimal policy for multi-alternative decisions. Nature Neuroscience.
Multiscale Modelling Tool - mathematical modelling without the maths
These are the codes related to a comment on the following publication: Tajima, S., Drugowitsch, J., and Pouget, A. Optimal policy for value-based decision-making. Nature Communications, 7:12400, (2016).
Source files of the experiments of stigmergic communication in a Kilobot swarm. Source of the Kilobot software, the ARK experiment, and the ARGoS simulation code.
Kilobot software for collective decision making to reproduce experiments reported in the paper:A. Reina, T. Bose, V. Trianni, J.A.R. Marshall. Effects of Spatiality on Value-Sensitive Decisions Made by Robot Swarms. In Proceedings of the 13th International Symposium on Distributed Autonomous Robotic Systems (DARS), Springer, Berlin, Germany, 2016.
Code to generate the data of the article "Negative feedback may suppress variation to improve collective foraging performance" by Andreagiovanni Reina and James Marshall
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