Distributed sensing, swarm sensing, adaptive social learning
October 14, 2014 — June 28, 2021
agents
bounded compute
collective knowledge
concurrency hell
distributed
economics
edge computing
extended self
game theory
incentive mechanisms
machine learning
networks
swarm
Is this a real field separate from all the things that look similar to it? e.g. probability collectives (are they a thing?) and the nature-inspired algorithms people get disturbingly enthusiastic about (ant colonies, particle swarms, that one based on choirs…), distributed consistency, and reliability engineering (Byzantine generals etc.), …and quorum sensing? How about that?
1 Local versus global design
I’m particularly interested in the constraints on what global organising can be done using local information. There are formal approaches to this, e.g. H. Wang and Rubenstein (2020) and more casual, fun ones like Mordvintsev et al. (2020).
2 Incentive design
If your network has autonomous agents that need to cooperate, how do you design their private utility? Although this looks a little bit like collective decisions, I am thinking of more incentive design-oriented questions. When we say “multi-agent systems” there is usually a presumption that the individual agents are fairly simple, not whole human beings. Special case: flocking. The barriers betwixt these are permeable.
3 Graph topology
If the graph topology of connections is not 1:N but something more complicated, what happens to learnability? What if you need to discover something controlling for graph topology? I have arbitrarily filed that under inference on social graphs and network economics.
4 As metaphor for human systems
See wisdom of crowds versus groupthink, or possible weaponized social media.
5 Incoming
- 大トロ, Collective Intelligence for Deep Learning: A Survey of Recent Developments
- Yoav Shoham and Kevin Leyton-Brown’s textbook, Multiagent Systems Algorithmic, Game-Theoretic, and Logical Foundations is downloadable
- Distributed information processing in biological and computational systems
- Yujian, Digest: Consensus Filters is a quick intro to signal analysis using consensus filters
- Growing Neural Cellular Automata looks at differentiable automata on a grid for prettiness.
- Artificial Communication: How Algorithms Produce Social Intelligence
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