The author defines a model for information propagation through the oriented bonds of a square lattice. The source of information is the origin, and the propagation takes place in only one quadrant, along the diagonal t (time) direction. The information reaches increasing-t layers of lattice points (r, t) according to a probability distribution P(x-xc<<, r, t) dependent only on the previous P(x-xc, r, t-1), where x is the concentration of present bonds. The model shows two distinct behaviours for large values of t: the information will disappear if xxc , or survive forever if xx(inf) c . Taking advantage of the Markovian behaviour and assuming that P is homogeneous, the author gets the values xc=1/2 for the critical concentration, v=1 for the t-correlation length critical exponent, theta =2 for the t/r crossover exponent, and beta =1/2 for the order parameter exponent. Along directions other than t, from the same origin, we get v1=1. The homogeneity assumption is supported by numerical calculations of the time evolution. This evolution is a deterministic cellular automaton, each cell r retaining a real (instead of discrete) value for P. The similarities and differences between the present model and directed bond percolation are also discussed.
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