AbstractWe propose a construction of an accepting hybrid network of evolutionary processors (AHNEP) which behaves as a universal device in the class of all these devices. We first construct a Turing machine which can simulate any AHNEP and then an AHNEP which simulates the Turing machine. We think that this approach can be applied to other bio-inspired computing models which are computationally complete
AbstractIn this paper, we investigate the role of evolutionary operations in accepting hybrid networ...
Starting from the fact that complete Accepting Hybrid Networks of Evolutionary Processors allow much...
AbstractThis paper shows the existence of a finite neural network, made up of sigmoidal neurons, whi...
AbstractWe propose a construction of an accepting hybrid network of evolutionary processors (AHNEP) ...
In this paper we consider three variants of accepting networks of evolutionary processors. It is kno...
We consider three complexity classes defined on Accepting Hybrid Networks of Evolutionary Processor...
[EN] The goal of this work is twofold. Firstly, we propose a uniform view of three types of acceptin...
We consider time complexity classes defined on accepting hybrid networks of evolutionary processors...
AbstractA hybrid network of evolutionary processors (an HNEP) is a graph where each node is associat...
This paper presents an extended behavior of networks of evolutionary processors. Usually, such nets ...
In this paper we simplify a recent model of computation considered in [Margenstern et al. 2005], nam...
AbstractThe Accepting Networks of Evolutionary Processors (ANEPs for short) are bio-inspired computa...
AbstractWe propose a computational model that is inspired by genetic operations over strings such as...
In this paper, we present some results regarding the size complexity of Accepting Networks of Evolut...
Starting from the fact that complete Accepting Hybrid Networks of Evolutionary Processors allow much...
AbstractIn this paper, we investigate the role of evolutionary operations in accepting hybrid networ...
Starting from the fact that complete Accepting Hybrid Networks of Evolutionary Processors allow much...
AbstractThis paper shows the existence of a finite neural network, made up of sigmoidal neurons, whi...
AbstractWe propose a construction of an accepting hybrid network of evolutionary processors (AHNEP) ...
In this paper we consider three variants of accepting networks of evolutionary processors. It is kno...
We consider three complexity classes defined on Accepting Hybrid Networks of Evolutionary Processor...
[EN] The goal of this work is twofold. Firstly, we propose a uniform view of three types of acceptin...
We consider time complexity classes defined on accepting hybrid networks of evolutionary processors...
AbstractA hybrid network of evolutionary processors (an HNEP) is a graph where each node is associat...
This paper presents an extended behavior of networks of evolutionary processors. Usually, such nets ...
In this paper we simplify a recent model of computation considered in [Margenstern et al. 2005], nam...
AbstractThe Accepting Networks of Evolutionary Processors (ANEPs for short) are bio-inspired computa...
AbstractWe propose a computational model that is inspired by genetic operations over strings such as...
In this paper, we present some results regarding the size complexity of Accepting Networks of Evolut...
Starting from the fact that complete Accepting Hybrid Networks of Evolutionary Processors allow much...
AbstractIn this paper, we investigate the role of evolutionary operations in accepting hybrid networ...
Starting from the fact that complete Accepting Hybrid Networks of Evolutionary Processors allow much...
AbstractThis paper shows the existence of a finite neural network, made up of sigmoidal neurons, whi...