We suggest that the interaction of a Globally Coupled Map (GCM) with an individual element inside the system is, from a computational point of view, indistinguishable of a mu,epsilon-dependent noise in the turbulent ...

Aquest article vol ser un recull de les primeres experiències al Citilab apropant la programació dels ordinadors a la gent del carrer. Sense cap requeriment previ, qualsevol pot inscriure's a algun dels cursos de la nostra ...

Submitted to Physica D. Focusing on a phenomenon observed in the temporal patterns of activity behavior of Leptothorax ants, we introduce the notion of Noise Induced Computation. We study, from a Noise Induced Transition ...

Fluid Neural Networks (FNN) are a mathematical framework where the phenomenon of self-synchronization in ant colonies can be explained, predicting the model a critical density, i.e. a density where oscillations appear, ...

Restricted Boltzmann Machines (RBMs) are general unsupervised learning devices to ascertain generative models of data distributions. RBMs are often trained using the Contrastive Divergence (CD) learning algorithm, an ...

Army ant colonies display complex foraging raid patterns involving thousands of individuals communicating through chemical trails. In this paper we explore, by means of a simple search algorithm, the properties of these ...

Some authors have hypothesized that the observed self-synchronized activity in ant colonies provides some adaptive advantages, and, in particular, it has been suggested that task realization may benefit from this ordered ...

We extend the classical Stallings theory (describing subgroups of free groups as automata) to direct products of free and abelian groups: after introducing enriched automata (i.e., automata with extra abelian labels), we ...

Fluid Neural Networks can be used as a theoretical framework for a wide range of complex systems such as social insects. In this paper we show that collective logical gates can be built in such a way that complex computation ...