About: Sequential dynamical system is a research topic. Over the lifetime, 37 publications have been published within this topic receiving 1040 citations.
TL;DR: A combinatorial upper bound for the number of non-equivalent SDS for a given graph is given, and this bound is computed explicitly for certain classes of graphs.
TL;DR: The main intractability results show that the reachability problems for SDSs are PSPACE-complete when either of the following restrictions hold: F consists of both simple-threshold-functions and simple-inverted-th threshold functions, or F consists only of threshold functions that use weights in an asymmetric manner.
Abstract: A sequential dynamical system (SDS) over a domain D is a triple (G, F, π), where (i) G(V,E) is an undirected graph with n nodes with each node having a state value from D, (ii) F = {f1, f2,..., fn} is a set of local transition functions with fi denoting the local transition function associated with node vi and (iii) π is a permutation of (i.e., a total order on) the nodes in V. A single SDS transition is obtained by updating the states of the nodes in V by evaluating the function associated with each of them in the order given by π.We consider reachability problems for SDSs with restricted local transition functions. Our main intractability results show that the reachability problems for SDSs are PSPACE-complete when either of the following restrictions hold: (i) F consists of both simple-threshold-functions and simple-inverted-threshold functions, or (ii) F consists only of threshold-functions that use weights in an asymmetric manner. Moreover, the results hold even for SDSs whose underlying graphs have bounded node degree and bounded pathwidth. Our lower bound results also extend to reachability problems for Hopfield networks and communicating finite state machines.On the positive side, we show that when F consists only of threshold functions that use weights in a symmetric manner, reachability problems can be solved efficiently provided all the weights are strictly positive and the ratio of the largest to the smallest weight is bounded by a polynomial function of the number of nodes.
TL;DR: Finite dynamical systems on binary strings, that is, iterates of functions from {0,1}n to itself, are studied by introducing several equivalence relations on systems and studying the resulting equivalence classes.
TL;DR: In this paper, the authors give an example of a sequential dynamical system consisting of intermittent-type maps which exhibits loss of memory with a polynomial rate of decay, and a uniform bound holds for the upper rate of memory loss.
Abstract: We give an example of a sequential dynamical system consisting of intermittent-type maps which exhibits loss of memory with a polynomial rate of decay. A uniform bound holds for the upper rate of memory loss. The maps may be chosen in any sequence, and the bound holds for all compositions.