tsuomela + dynamics   11

PLOS ONE: You Can’t Put Old Wine in New Bottles: The Effect of Newcomers on Coordination in Groups
"A common finding in social sciences is that member change hinders group functioning and performance. However, questions remain as to why member change negatively affects group performance and what are some ways to alleviate the negative effects of member change on performance? To answer these questions we conduct an experiment in which we investigate the effect of newcomers on a group’s ability to coordinate efficiently. Participants play a coordination game in a four-person group for the first part of the experiment, and then two members of the group are replaced with new participants, and the newly formed group plays the game for the second part of the experiment. Our results show that the arrival of newcomers decreases trust among group members and this decrease in trust negatively affects group performance. Knowing the performance history of the arriving newcomers mitigates the negative effect of their arrival, but only when newcomers also know the oldtimers performance history. Surprisingly, in groups that performed poorly prior to the newcomers’ arrival, the distrust generated by newcomers is mainly between oldtimers about each other rather than about the newcomers."
groups  interaction  dynamics  communication  organizations  strangers  trust  coordination 
february 2013 by tsuomela
Access : Early-warning signals for critical transitions : Nature
Complex dynamical systems, ranging from ecosystems to financial markets and the climate, can have tipping points at which a sudden shift to a contrasting dynamical regime may occur. Although predicting such critical points before they are reached is extremely difficult, work in different scientific fields is now suggesting the existence of generic early-warning signals that may indicate for a wide class of systems if a critical threshold is approaching.
complexity  science  dynamics  systems  prediction  early-warning  change 
september 2009 by tsuomela
[0901.2203] Neural Networks as dynamical systems
We consider neural networks from the point of view of dynamical systems theory. In this spirit we review recent results dealing with the following questions, adressed in the context of specific models. 1. Characterizing the collective dynamics
biology  neuralnetworks  neurology  model  dynamics  systems  complexity 
february 2009 by tsuomela

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