Several recent results have implemented a number of deterministic automata (finite-state, pushdown, even Turing machines and neural nets) using piecewise linear dynamical systems in one- and two dimensional euclidean spaces. Nondeterministic devices have only been likewise implemented by iterated systems containing several maps. We show how to simulate nondeterministic and concurrent systems (finitestate automata, pushdown automata, and Petri nets) using a single deterministic piecewise linear map of the real interval. As a consequence, we establish a correspondence between nondeterminism and incremental entropy of the corresponding dynamical system. Relationship to the separation of complexity classes is discussed
International audienceWe study the decidability and computational complexity for several decision pr...
This paper is an attempt to unify classical automata theory and dynamical systems theory. We present...
(eng) We explore the simulation and computational capabilities of dynamical systems. We first introd...
Several recent results have implemented a number of deterministic automata (finite-state, pushdown, ...
We explore the simulation and computational capabilities of discrete and continuous dynamical system...
We explore the simulation and computational capabilities of discrete and continuous dynamical system...
AbstractWe explore the simulation and computational capabilities of discrete and continuous dynamica...
It has been known for a short time that a class of recurrent neural networks has universal computati...
AbstractAn important open problem in the area of membrane computing is whether there is a model of P...
AbstractThe study of synchronized alternating machines has enabled to characterize several natural c...
Euclidean Automata (EA) are finite state computational devices that take continuous parameter vector...
AbstractMotivated by recent applications of finite automata to theoretical physics, we study the min...
AbstractThe purpose of this paper is twofold: to give a precise notion of a realization for simulati...
AbstractIt has been known for a short time that a class of recurrent neural networks has universal c...
A model of parallel computation based on a generalization of nondeterminism in Turing machines is i...
International audienceWe study the decidability and computational complexity for several decision pr...
This paper is an attempt to unify classical automata theory and dynamical systems theory. We present...
(eng) We explore the simulation and computational capabilities of dynamical systems. We first introd...
Several recent results have implemented a number of deterministic automata (finite-state, pushdown, ...
We explore the simulation and computational capabilities of discrete and continuous dynamical system...
We explore the simulation and computational capabilities of discrete and continuous dynamical system...
AbstractWe explore the simulation and computational capabilities of discrete and continuous dynamica...
It has been known for a short time that a class of recurrent neural networks has universal computati...
AbstractAn important open problem in the area of membrane computing is whether there is a model of P...
AbstractThe study of synchronized alternating machines has enabled to characterize several natural c...
Euclidean Automata (EA) are finite state computational devices that take continuous parameter vector...
AbstractMotivated by recent applications of finite automata to theoretical physics, we study the min...
AbstractThe purpose of this paper is twofold: to give a precise notion of a realization for simulati...
AbstractIt has been known for a short time that a class of recurrent neural networks has universal c...
A model of parallel computation based on a generalization of nondeterminism in Turing machines is i...
International audienceWe study the decidability and computational complexity for several decision pr...
This paper is an attempt to unify classical automata theory and dynamical systems theory. We present...
(eng) We explore the simulation and computational capabilities of dynamical systems. We first introd...