Raiding the inarticulate since 2010

accelerated academy acceleration agency AI Algorithmic Authoritarianism and Digital Repression archer Archive Archiving artificial intelligence automation Becoming Who We Are Between Post-Capitalism and Techno-Fascism big data blogging capitalism ChatGPT claude Cognitive Triage: Practice, Culture and Strategies Communicative Escalation and Cultural Abundance: How Do We Cope? Corporate Culture, Elites and Their Self-Understandings craft creativity critical realism data science Defensive Elites Digital Capitalism and Digital Social Science Digital Distraction, Personal Agency and The Reflexive Imperative Digital Elections, Party Politics and Diplomacy digital elites Digital Inequalities Digital Social Science Digital Sociology digital sociology Digital Universities elites Fragile Movements and Their Politics Cultures generative AI higher education Interested labour Lacan Listening LLMs margaret archer Organising personal morphogenesis Philosophy of Technology platform capitalism platforms Post-Democracy, Depoliticisation and Technocracy post-truth psychoanalysis public engagement public sociology publishing Reading realism reflexivity scholarship sexuality Shadow Mobilization, Astroturfing and Manipulation Social Media Social Media for Academics social media for academics social ontology social theory sociology technology The Content Ecosystem The Intensification of Work theory The Political Economy of Digital Capitalism The Technological History of Digital Capitalism Thinking trump twitter Uncategorized work writing zizek

Complexity and Collective Behaviour

Leverhulme Bridges Programme Weekly Colloquium
Spring Term Week 2, Tues 19 January 2 – 3pm Wolfson Research Ex. Rm 3
 

Prof. Matthew Turner, Centre for Complexity Science

“Collective behaviour” 

Abstract: Collective behaviour, in which agents coordinate their activity, is ubiquitous across all societies. We don’t yet fully understand how human societies coordinate or even how human crowds move. However, a general principle in science is that one should first seek to understand a simple (the most simple) system exhibiting the behaviour that is of interest and then, using any insights gained, work up to understand more complex examples. Our work is mostly concerned with simple examples of collective behaviour from the animal kingdom. Here one observes flocking birds, shoaling fish and swarming insects. What are these systems trying to “compute”, why are they trying to do it and how to they coordinate this behaviour? To what extent do these systems represent intelligent collectives with computational potential above and beyond that of the individuals concerned?