[Tweets]

20/04/2018 6:16pm
DART: Noise injection for robust imitation learning via @Robohub [LINK]
18/04/2018 12:44am
RT @UomRobotics: Check out Festo's New Bionic Robots Include Rolling Spider, Flying Fox [LINK] @Festo are real world leade…
17/04/2018 8:47pm
A new exciting #postdoc position in #swarm #robotics at @unisouthampton [LINK]
12/04/2018 12:24am
RT @wjscheirer: Pre-print of the long awaited position paper: "The Limits and Potentials of Deep Learning for Robotics." Provocative stuff…

[To Vote or Not To Vote: A Swarm Approach]

Added on 19/01/2012
Tags: swarm :: mind


I’ve never voted. I am not sure why, I perhaps don't care enough. People always tell me: 'Imagine everybody would decide not to vote! You have to vote because every small opinion counts towards the final results'. I've never agreed with it, although I couldn't express why. On one hand, it seems like democracy works because decisions depend on opinions of many people, yet it seems like your own vote does not matter at all. The answer to this dilemma can be found in principles of swarm behaviour.

The main strength of biological swarms is in collective decision-making about a common action like what to hunt or where to migrate. However, swarm behaviour only works because of interactions between individuals. One single unit on its own has no impact, even if it keeps repeating its behaviour over and over. An ant can forever walk back and forth to a bad nest site if it doesn't distribute pheromone. A bee can repeatedly collect nectar from a weak flower source if it does not dance to attract other nest mates. It is not the action itself but the passing of information about one's action that results in emergent global results, which is also what makes swarms hard to engineer.

I would therefore argue that there is nothing wrong with not voting. As long as you keep it to yourself or at least don't try to persuade others to behave as you do, your decision to not vote has no impact on who will be the president or who a parliament will constitute of. The same goes for your choice of whom to vote for if you decide to. Your individual action does not matter. Only waves of your impact on others do.


{Please enable JavaScript in order to post comments}

[You might also be intested in...]

Neural Networks and the Evolution of Cooperation
The paper investigates artificial evolution of cooperation in the Iterated Prisoner's Dilemma using a number of player implementations. Existing strategy encoding and neural network models are compared with action-discriminating neural network created during writing of this paper.
Does Communication Make a Difference?
This paper compares different animal groups from eusocial insect colonies to human society and discusses their mechanics and behaviour as agent systems.
Robot Flocking: Sensors and Control
This paper discusses various kinds of robot sensory input, approaches to motor control and ways they could be used for flocking. Focus is put on vision and Gibsonian optic flow that could be utilised by robots with advanced behaviour.
V-REP, Gazebo or ARGoS? A robot simulators comparison
Let’s have a look at three commonly used open-source simulators for robotics: V-REP, Gazebo and ARGoS, to find out which one suits your project the best.
Designing Effective Roadmaps for Robotics Innovation
Automated factories, autonomous delivery drones, self-driving cars: these and similar technologies will soon touch every aspect of our lives. An engaging discussion about how these technologies are regulated and innovated took place at the IROS 2017 conference.
The Information-Cost-Reward framework for understanding robot swarm foraging
The Information-Cost-Reward (ICR) framework relates the way in which robots obtain and share information about where work needs to be done to the swarm’s ability to exploit that information in order to perform work efficiently in the context of a particular task and environment.