Distributed Artificial Intelligence

A primer on Multi-Agent Systems, Agent-Based Modeling, and Swarm Intelligence

Francesco Corea
14 min readMar 28, 2019

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I. Setting the stage

Almost two years ago, I paused thinking about the future of AI and drew down some “predictions” about where I thought the field was going.

One of those forecasts concerned reaching a general intelligence in several years, not through a super powerful 100-layers deep learning algorithm, but rather through something called collective intelligence. However, except for very obvious applications (e.g., drones), I have not read or seen any big development in the field and I thus thought to dig a bit into that to check what is currently going on.

As part of the AI Knowledge Map then, I will have a look here not only at Swarm Intelligence (SI) but more generally at Distributed AI, which also includes Agent-Based Modeling (ABM) and Multi-Agent Systems (MAS).

II. Distributed AI (DAI)

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Francesco Corea
Francesco Corea

Written by Francesco Corea

Data science @ Greycroft. Previously @Balderton @Anthemis @UCLA. All opinions are my own.

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