We present simulation mechanisms by which any network of threshold logic units with either symmetric or asymmetric interunit connections (i.e., a symmetric or asymmetric "Hopfield net") can be simulated on a network of the same type, but without any a priori constraints on the order of updates of the units. Together with earlier constructions, the results show that the truly asynchronous network model is computationally equivalent to the seemingly more powerful models with either ordered sequential or fully parallel updates. 1 Introduction A somewhat unsatifying feature of many otherwise interesting constructions of recurrent threshold logic networks (or, more generally, automata networks) is their use of a global synchronizing m...
We study a class of models incorporating threshold-activated coupling on a lattice of chaotic elemen...
Models of multi-agent systems with fixed network structure usually update the states of all agents i...
Cellular automata (CA) are an abstract model of a distributed dynamical system, as well as of fine-g...
AbstractWe present simulation mechanisms by which any network of threshold logic units with either s...
An automata network is a finite assembly of interconnected entities endowed with a set of local maps...
AbstractWe present here a general and efficient strategy for simulating a synchronous network by a n...
An automata network (AN) is a finite graph where each node holds a state from a finite alphabet and ...
AbstractThis paper deals with finite size networks which consist of interconnections of synchronousl...
Abstract. We show that any locally finite automata network A with global synchronous updates can be ...
AbstractWe first show that the parallel evolution of a network of automata N can be sequentially sim...
International audienceBoolean networks are commonly used in systems biology to model dynamics of bio...
Abstract. This paper shows the existence of a finite neural network, made up of sigmoidal nen-rons, ...
This paper deals with finite size recurrent neural networks which consist of general (possibly with ...
Recently, researchers in artificial intelligence have been actively investigating various connection...
International audienceIn this paper, we develop a framework for an efficient under-approximation of ...
We study a class of models incorporating threshold-activated coupling on a lattice of chaotic elemen...
Models of multi-agent systems with fixed network structure usually update the states of all agents i...
Cellular automata (CA) are an abstract model of a distributed dynamical system, as well as of fine-g...
AbstractWe present simulation mechanisms by which any network of threshold logic units with either s...
An automata network is a finite assembly of interconnected entities endowed with a set of local maps...
AbstractWe present here a general and efficient strategy for simulating a synchronous network by a n...
An automata network (AN) is a finite graph where each node holds a state from a finite alphabet and ...
AbstractThis paper deals with finite size networks which consist of interconnections of synchronousl...
Abstract. We show that any locally finite automata network A with global synchronous updates can be ...
AbstractWe first show that the parallel evolution of a network of automata N can be sequentially sim...
International audienceBoolean networks are commonly used in systems biology to model dynamics of bio...
Abstract. This paper shows the existence of a finite neural network, made up of sigmoidal nen-rons, ...
This paper deals with finite size recurrent neural networks which consist of general (possibly with ...
Recently, researchers in artificial intelligence have been actively investigating various connection...
International audienceIn this paper, we develop a framework for an efficient under-approximation of ...
We study a class of models incorporating threshold-activated coupling on a lattice of chaotic elemen...
Models of multi-agent systems with fixed network structure usually update the states of all agents i...
Cellular automata (CA) are an abstract model of a distributed dynamical system, as well as of fine-g...