Titlebook: Cellular Automata and Cooperative Systems; Nino Boccara,Eric Goles,Pierre Picco Book 1993 Springer Science+Business Media Dordrecht 1993 R

土产

How to Fire Almost any Arbitrary Pattern on a Cellular Automaton,of an image. We will use the result showing that every . x . image can be approximated by a WFA. We combine this WFA with the CA-rule for the firing squad to obtain a size-independent CA-rule that will “fire” the approximation of the given image on a two-dimensional CA whose cells can produce pixel values as outputs.

Bereavement

Analysis of a Network Model,t measure of the inhibition states is explicited as well as the distribution of the duration of the inter-spikes of a given cell. If this stability condition is not satisfied, the state of the network converges to some asymptotic state depending on its initial state. In this case, the set of possible asymptotic states is given.

Generosity

Real Computation with Cellular Automata,e presented that point to computational primitives different from classical continuous objects based on addition and multiplication. Several open questions pertaining characterization of real-valued functions computable by cellular automata are briefly discussed, notably the encoding/representation problem and the halting criterion.

剧毒

Lower Bounds on the Memory Capacity of the Dilute Hopfield Model,ent a rigorous analysis of the energy landscape for the Hopfield Hamiltonian on such a network. It is found that if the probability, ., that two given neurons are connected is at least as big as . this model can store at least . = ... random patterns, where .. ≈ 0.027. Our proofs involve some novel results on maximal eigenvalues of random matrices.

没花的是打扰

Automata Network Epidemic Models,correct. For SIR models we have studied the time evolution of the number of infectives, and the stationary density of susceptibles as a function of the degree of mixing. The SIS models exhibit transcritical bifurcations. We have studied the critical behavior in their vicinity, here again, as a funct

为敌

hallow

https://doi.org/10.1007/978-3-322-82431-8correct. For SIR models we have studied the time evolution of the number of infectives, and the stationary density of susceptibles as a function of the degree of mixing. The SIS models exhibit transcritical bifurcations. We have studied the critical behavior in their vicinity, here again, as a funct

Prologue

Christian Freilinger,Norbert A. Klisof particles in an interval of length |(.)(1 - 2.)|.. The second result is a representation of the position X. of a tagged particle of the system that allows us to write .. = .. + .., where .. is a Poisson process of parameter (1 - .)(. - .) and .. is a random variable whose absolute value is stocha

Enrage

https://doi.org/10.1007/978-94-011-1691-6Renormalization group; SPIN; automata; calculus; cellular automaton; complexity; complexity theory; cryptog

–LOUS

978-94-010-4740-1Springer Science+Business Media Dordrecht 1993