Abstract
Influence systems form a large class of multiagent systems designed to model how influence, broadly defined, spreads across a dynamic network. We build a general analytical framework which we then use to prove that, while Turing-complete, influence dynamics of the diffusive type is almost surely asymptotically periodic. Besides resolving the dynamics of a popular family of multiagent systems, the other contribution of this work is to introduce a new type of renormalization-based bifurcation analysis for multiagent systems.
| Original language | English (US) |
|---|---|
| Article number | 6375309 |
| Pages (from-to) | 311-320 |
| Number of pages | 10 |
| Journal | Proceedings - Annual IEEE Symposium on Foundations of Computer Science, FOCS |
| DOIs | |
| State | Published - 2012 |
| Event | 53rd Annual IEEE Symposium on Foundations of Computer Science, FOCS 2012 - New Brunswick, NJ, United States Duration: Oct 20 2012 → Oct 23 2012 |
All Science Journal Classification (ASJC) codes
- General Computer Science
Keywords
- Influence systems
- algorithmic calculus
- natural algorithms
- renormalization. multiagent systems