Mean field dynamics of stochastic cellular automata for random and small-world graphs
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Publication:2197113
DOI10.1016/J.JMP.2020.102380zbMath1448.91232arXiv1610.05105OpenAlexW3027848194MaRDI QIDQ2197113
Jolanda Kossakowski, Lourens J. Waldorp
Publication date: 4 September 2020
Published in: Journal of Mathematical Psychology (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1610.05105
Small world graphs, complex networks (graph-theoretic aspects) (05C82) Random graphs (graph-theoretic aspects) (05C80) Cognitive psychology (91E10) Cellular automata (computational aspects) (68Q80)
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- A hierarchical state space approach to affective dynamics
- Bootstrap percolation on the random graph \(G_{n,p}\)
- Matrix norms applied to weakly ergodic Markov chains
- Phase transitions in the neuropercolation model of neural populations with mixed local and non-local interactions
- Merging for time inhomogeneous finite Markov chains. I: Singular values and stability
- Computation theory of cellular automata
- Time inhomogeneous Markov chains with wave-like behavior
- Markov Random Fields and Their Applications
- Large deviations for mean field models of probabilistic cellular automata
- Dynamical Processes on Complex Networks
- Graphical Models, Exponential Families, and Variational Inference
- Markov Chains
- Paths in graphs
- A First Course in Discrete Dynamical Systems
- Analysis of Boolean Functions
- Collective dynamics of ‘small-world’ networks
- Neuropercolation: A Random Cellular Automata Approach to Spatio-temporal Neurodynamics
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