Mauro Ceruti
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Gaia 2
Based on a conference held in Perugia, Italy (1988) this collection of papers and symposia confirms Heisenberg's saying that real science is made in the conversation of scientists
Interconnected Universe, The: Conceptual Foundations Of Transdisciplinary Unified Theory
This book offers an original hypothesis capable of unifying evolution in the physical universe with evolution in biology; herewith it lays the conceptual foundations of “transdisciplinary unified theory”. The rationale for the hypothesis is presented first; then the theoretical framework is outlined, and thereafter it is explored in regard to quantum physics, physical cosmology, micro- and macro-biology, and the cognitive sciences (neurophysiology, psychology, with attention to anomalous phenomena as well). The book closes with a variety of studies, both by the author and his collaborators, sketching out the implications of the hypothesis in regard to brain dynamics, cosmology, the concept of space, phenomena of creativity, and the prospects for the elaboration of a mature transdisciplinary unified theory. The Foreword is written by philosopher of science Arne Naess, and the Afterword is contributed by neuroscientist Karl Pribram.
Artificial Life and Evolutionary Computation
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.