Upper Bound on the Products of Particle Interactions in Cellular Automata
arXiv:nlin/0008038 · doi:10.1016/S0167-2789(01)00252-4
Abstract
Particle-like objects are observed to propagate and interact in many spatially extended dynamical systems. For one of the simplest classes of such systems, one-dimensional cellular automata, we establish a rigorous upper bound on the number of distinct products that these interactions can generate. The upper bound is controlled by the structural complexity of the interacting particles---a quantity which is defined here and which measures the amount of spatio-temporal information that a particle stores. Along the way we establish a number of properties of domains and particles that follow from the computational mechanics analysis of cellular automata; thereby elucidating why that approach is of general utility. The upper bound is tested against several relatively complex domain-particle cellular automata and found to be tight.
17 pages, 12 figures, 3 tables, http://www.santafe.edu/projects/CompMech/papers/ub.html V2: References and accompanying text modified, to comply with legal demands arising from on-going intellectual property litigation among third parties. V3: Accepted for publication in Physica D. References added and other small changes made per referee suggestions
References in corpus (2)
Cited by in corpus (11)
- Local information transfer as a spatiotemporal filter for complex systems
- Automatic Filters for the Detection of Coherent Structure in Spatiotemporal Systems
- What Is a Macrostate? Subjective Observations and Objective Dynamics
- A framework for the local information dynamics of distributed computation in complex systems
- Self-referential basis of undecidable dynamics: from The Liar Paradox and The Halting Problem to The Edge of Chaos
- Lempel-Ziv complexity analysis of one dimensional cellular automata
- A Particular Universal Cellular Automaton
- Spectral domain boundaries in cellular automata
- A Language for Particle Interactions in One-dimensional Cellular Automata
- On Conservative and Monotone One-dimensional Cellular Automata and Their Particle Representation
- The Search for Computational Intelligence