Models of competitive learning: complex dynamics, intermittent conversions and oscillatory coarsening
arXiv:cond-mat/9908173 · doi:10.1103/PhysRevE.60.5218
Abstract
We present two models of competitive learning, which are respectively interfacial and cooperative learning. This learning is outcome-related, so that spatially and temporally local environments influence the conversion of a given site between one of two different types. We focus here on the behavior of the models at coexistence, which yields new critical behavior and the existence of a phase involving a novel type of coarsening which is oscillatory in nature.
23 pages, 11 figures. To appear in Phys. Rev. E
Cited by in corpus (13)
- Critical Coarsening without Surface Tension: the Voter Universality Class
- Phase transition and selection in a four-species cyclic Lotka-Volterra model
- Particles Sliding on a Fluctuating Surface: Phase Separation and Power Laws
- Learning theories reveal loss of pancreatic electrical connectivity in diabetes as an adaptive response
- The Dynamics of Efficiency: A Simple Model
- A deterministic model of competitive cluster growth: glassy dynamics, metastability and pattern formation
- Learning with a network of competing synapses
- Anomalous aging phenomena caused by drift velocities
- Competing synapses with two timescales: a basis for learning and forgetting
- Slow synaptic dynamics in a network: from exponential to power-law forgetting
- The dynamics of competitive learning: the role of updates and memory
- Storing and retrieving long-term memories: cooperation and competition in synaptic dynamics
- Competing with oneself: Introducing self-interaction in a model of competitive learning