agent-based modelling

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Agent Based Models are computer models that attempt to capture the behaviour of individuals within an environment. They are more intuitive that mathematical or statistical models as the represent objects as we see them: as individual things in the world.

Agent Based Modelling: Introduction

Agent Based Models to some extent evolved from Cellular Automata (CA), and because of this, and because one of the first useful CA models (the Schelling model) was by a social scientist and has been re-implemented many times with ABM, it is worth saying something about CAs before we then go on to look at ABM.

Agent Based Modelling: Introduction

^ Schelling's model of segregation.

1 Elsewhere in the garden

Notes that link to this note (AKA backlinks).

It wasn't so much predator-prey dynamics that interested me - it was the agent-based modelling. Though I do like when software has some link back to nature, one way or another.

Thomas Schelling. agent-based modelling.

I've noticed some constellations of interest forming around agency, self-determination, networked agency, assemblage thinking, actor-network theory, the actor model. Which tie into my past interests in agent-based systems, and technological and political distributed systems.

Flock as a portmanteau of flow and stock, and also because I like flocks of birds and agent-based systems. I like the idea of groups of people doing similar stuff to this, autonomously but connected, producing emergent phenomena.

I got into the area through an interest in agent-based modelling and artificial life (through things like Lindenmeyer systems and cellular automata).

The science of evolution and adaptation was less my strong point, and I focused a little more on the biologically-inspired computing side of things. I really enjoyed the coding of agent-based models.

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