Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Eleonora Bilotta is active.

Publication


Featured researches published by Eleonora Bilotta.


International Journal of Bifurcation and Chaos | 2011

ARTIFICIAL MICRO-WORLDS PART I: A NEW APPROACH FOR STUDYING LIFE-LIKE PHENOMENA

Eleonora Bilotta; Pietro Pantano; Stefano Vena

In this paper, we present the k-totalistic class of Cellular Automata (CA), which we generate from evolutionary processes, giving rise to Artificial Micro-Worlds (AMW). Within these micro-worlds, we observe a huge range of self-replicators and an equally huge range of models of self-replicating structures that behave like biological species. On the basis of empirical observations, we propose a new way for studying artificial life-like phenomena through which we can apply methods similar to those used in Zoology, observing and classifying different species and investigating their population dynamics.


Leonardo | 2013

Toward the Use of Chua's Circuit in Education, Art and Interdisciplinary Research: Some Implementation and Opportunities

Francesca Bertacchini; Eleonora Bilotta; Lorella Gabriele; Pietro Pantano; Assunta Tavernise

ABSTRACT This paper considers the merging of Chaos with art, including such forms as digital images, sounds and music, based on dynamic systems derived from Chuas Circuit and using appropriate coding methods. Design elements, logos, musical instruments, software environments, multimedia theater performances and virtual museums with strange attractors have also been realized. In the field of education, the paper introduces environments that have foreseen the virtual manipulation of patterns derived from Chuas Circuit, which has fostered a deeper understanding of the evolution of dynamic systems through computer simulation.


Archive | 2010

Cellular Automata and Complex Systems: Methods for Modeling Biological Phenomena

Eleonora Bilotta; Pietro Pantano

Cellular Automata and Complex Systems: Methods for Modeling Biological Phenomena describes the use of cellular automata to provide important insights into a vast range of physical, biological, social, economic and psychological phenomena. This book presents contemporary research on discrete dynamical systems such as one-dimensional and two-dimensional cellular automata and outlines how these systems can be exploited for artistic purposes, translating their mathematical configurations into music and visual media.


NUMERICAL COMPUTATIONS: THEORY AND ALGORITHMS (NUMTA–2016): Proceedings of the 2nd International Conference “Numerical Computations: Theory and Algorithms” | 2016

Emergence of linguistic-like structures in one-dimensional cellular automata

Francesca Bertacchini; Eleonora Bilotta; Fabio Caldarola; Pietro Pantano; Leonardo Renteria Bustamante

In this paper we give a summary of some empirical investigations which show high analogies between Cellular Automata and linguistic structures. In particular we show as coupling regular domains of Cellular Automata we find complex emerging structures similar to combination of words, phonemes and morphemes in natural languages.


2015 Digital Heritage | 2015

Virtual museums and Calabrian cultural heritage: Projects and challenges.

Simona Giglio; Lorella Gabriele; Pietro Pantano; Eleonora Bilotta; Francesca Bertacchini

This work aims at illustrating how Information and Communication Technologies (ICT) could be used to exploit and disseminate Cultural Heritage, providing learning experiences for different targets of users, especially young people. The objective is also to promote and diffuse Calabrian cultural heritage of the ancient Magna Graecia period in a global perspective. The case study of Calabrian Magna Graecia (Italy) is presented, with particular reference to the projects “Virtual Museum Net of Magna Graecia” and “NETConnect”.


Enfoque UTE | 2017

VALE-Emotions: Aplicación móvil de enseñanza para individuos con Desordenes del Espectro Autista

Diana Olmedo-Vizueta; Jorge Hernandez-Ambato; Diego Ávila-Pesantez; Eleonora Bilotta; Pietro Pantano

En este articulo, se presenta el desarrollo de una aplicacion movil interactiva para fortalecer el aprendizaje de reconocimiento de emociones en ninos con Desordenes del Espectro Autista (ASD, en ingles). Esta App forma parte de un Avanzado Ambiente Virtual de Aprendizaje (VALE, en ingles), propuesto por los autores para soportar actividades de ensenanza y aprendizaje. La App VALE-Emotions esta fundamentada en las seis emociones basicas estudiadas por (Paul Ekman, 1992), pero no esta limitada solo al reconocimiento de tales emociones en sus maximos niveles de intensidad. De hecho, la App permite determinar el reconocimiento efectivo de estas emociones a diferentes niveles de intensidad. Tales niveles de intensidad son generados por una codificacion propuesta por los autores mediante un DFE (Expresiones Faciales Dinamicas, en espanol) usando avatars virtuales. Cada actividad de aprendizaje es realizada a traves de aplicaciones de entrenamiento y evaluacion, dando la oportunidad a los usuarios de desarrollar, aprender y fortalecer libremente habilidades sociales de una manera entretenida. xa0Ademas, se reportan los resultados de experimentacion usando VALE-Emotions en individuos con ASD. En general, los participantes mostraron una eficiente respuesta a los estimulos durante las actividades desarrolladas obteniendo un alto y rapido reconocimiento de ciertas emociones.


In Honor of the 65th Birthday of Antonio Greco | 2007

Generating Multi State Cellular Automata by using Chua's "Universal Neuron"

Eleonora Bilotta; Gianpiero Di Blasi; Arcavacata Rende; Sebastiano Giambò; Pietro Pantano

In 1999 Chua demonstrated that it is possible to obtain boolean Cellular Au-tomata (CA) by using Cellular Neural Networks (CNNs), implemented as chips, which definitely reduce the time of simulation for discrete dynamical systems such as CA and allow for a better understanding of complexity. In this work we demonstrate that Chuas Universal Neuron which simulates boolean CA can be generalized for multistate CA. This new approach allows to investigate the nature of the CA rule space, in relationship with the Universal Neuron parameter space, establishing relationships between discrete and continuous dynamical systems and analysing the nature of local and global rules in affecting the behaviour of these systems. The method which we have developed is fruitful since we have found a lot of CA which can be considered complex rules of class IV, in the Wolfram classification. Furthermore we have used the idea of genetical computation in considering the values of the Universal Neuron parameter space as a sort of genotype which determines and produces variations in the CA behaviour. On this basis, we have implemented a genetic algorithm which fits very well with the searching for CA complex rules. WSPC-Proceedings Trim Size: 9in x 6in bilotta˙diblasi˙giambo˙pantano 2 temporal dimension of many biological phenomena and processes.


Archive | 2008

A Gallery of Chua Attractors: (With DVD-ROM)

Eleonora Bilotta; Pietro Pantano


ICAL 2003 Proceedings of the eighth international conference on Artificial life | 2002

Is self-replication an embedded characteristic of artificial/living matter?

Eleonora Bilotta; Antonio Lafusa; Pietro Pantano


Archive | 2001

Artificial Life Music Tells of Complexity

Eleonora Bilotta; Pietro Pantano

Collaboration


Dive into the Eleonora Bilotta's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge