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Advances in Artificial Life and Evolutionary Computation

9th Italian Workshop, WIVACE 2014, Vietri sul Mare, Italy, May 14-15, Revised Selected Papers

This book constitutes the revised selected papers of the 9th Italian Workshop on Advances in Artificial Life and Evolutionary Computation held in Vietri sul Mare, Italy, in May 2014, in conjunction with the 24th Italian Workshop on Neural Networks, WIRN 2014. The 16 papers presented have been thoroughly reviewed and selected from 40 submissions. They cover the following topics: artificial neural networks; fuzzy inference systems; rough set; approximate reasoning; and optimization methods such as evolutionary computation, swarm intelligence, particle swarm optimization.

Examples of the Usage of Infinities and Infinitesimals in Numerical Computations
Yaroslav D. Sergeyev1,2,3(B) 1 ... 2 N.I. Lobatchevsky State University, Nizhni
Novgorod, Russia 3 Institute of High Performance Computing and Networking, ...

Artificial Life and Evolutionary Computation

Proceedings of Wivace 2008, Venice, Italy, 8-10 September 2008

The Italian community in Artificial Life and Evolutionary computation has grown remarkably in recent years, and this book is the first broad collection of its major interests and achievements (including contributions from foreign countries). The contributions in Artificial Life as well as in Evolutionary Computation allow one to see the deep connections between the two fields. The topics addressed are extremely relevant for present day research in Artificial Life and in Evolutionary Computation, which include important contributions from very well-known researchers. The volume provides a very broad picture of the Italian activities in this field. Sample Chapter(s). Chapter 1: Cognitive Dynamics in an Automata Gas (906 KB). Contents: Diffusion of Shapes (R S Shaw & N H Packard); FDC-Based Particle Swarm Optimization (A Azzini et al.); An Evolutionary Predictive Approach to Design High Dimensional Experiments (D De March et al.); Prefrontal Cortex and Action Sequences: A Review on Neural Computational Models (I Gaudiello et al.); Bio-Inspired ICT for Evolutionary Emotional Intelligence (M Villamira & P Cipresso); Cooperation in Corvids: A Simulative Study with Evolved Robots (O Miglino et al.); Distributed Processes in a Agent-Based Model of Innovation (L Ansaloni et al.); Imaginary or Actual Artificial Worlds Using a New Tool in the ABM Perspective (P Terna); Dynamics of Interconnected Boolean Networks with Scale-Free Topology (C Damiani et al.); Semi-Synthetical Minimal Cells (P Stano & P L Luisi); and other papers. Readership: Graduate students, academics and researchers in the field of complex systems, artificial intelligence and robotics.

to Python and vice versa (via the Python-UNO bridge, incorporated in OOo); (iii)
do symbolic calculations in Python (via http://code.google.com/p/sympy/); and (iv)
use Social Network Analysis from Python, with tools like the Igraph library ...