19/10/2017 3:35pm
Our paper "Behaviour-Data Relations Modeling Language For Multi- #Robot Control Algorithms" now available to read!… [LINK]
18/10/2017 2:15pm
LEGO's new Women of NASA kit. Great learning for both kids and adults @LEGOIdeas [LINK] [LINK]
17/10/2017 11:01am
Nice open-call #reserch #fellowships programmes at LMU Munich [LINK]
16/10/2017 3:09pm
#robots that can merge and split their collective architecture (but the article title is preposterous @IEEESpectrum) [LINK]
13/10/2017 1:46pm
RT @MMGiuliani: First demo of our new human-robot interaction setup. Come visit us at @BristolRobotLab to have a look 😀. [LINK]

[The Centralised Mindset and Complexity Sci.]

Date: Jan 2013
Tags: swarm :: mind

Humans tend to explain decentralised phenomena as being caused by a single entity. This way of thinking is often referred to as 'the centralised mindset'. Several authors propose that using programming environments where creation of decentralised agent-based systems is easy can help people to start appreciating dynamics of bottom-up models.

However, complexity scientists need to move beyond simple grid worlds with little realism if they are to be taken seriously by others who prefer analytical methods that can predict global behaviours of emergent systems. While responsible complexity science can help us understand and perhaps copy the nature, it is questionable whether we can also use decentralisation as a model of our social, economical or political
organisation. Our currently poor understanding of design and evaluation of emergent systems, as well as our egoistic way of living are among things that stand in the way of our species to become more efficient through decentralisation.

Centralised mindset, complexity science, decentralisation

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