Artificial Life and Evolutionary Computation

1. Front Matter

   Pages I-XI

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2. Physical–Chemical Phenomena

   1. Front Matter

      Pages 1-1

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   2. Quantum Neural Networks Achieving Quantum Algorithms

      • Delphine Nicolay, Timoteo Carletti

      Pages 3-15

   3. Signal Transduction and Communication Through Model Membranes in Networks of Coupled Chemical Oscillators

      • Federico Rossi, Kristian Torbensen, Sandra Ristori, Ali Abou-Hassan

      Pages 16-31

   4. Controlling Chemical Chaos in the Belousov-Zhabotinsky Oscillator

      • Marcello A. Budroni, Mauro Rustici, Nadia Marchettini, Federico Rossi

      Pages 32-48

   5. Fragment Based Molecular Dynamics for Drug Design

      • Lucia Sessa, Luigi Di Biasi, Simona Concilio, Stefano Piotto

      Pages 49-58

   6. Stochastic Numerical Models of Oscillatory Phenomena

      • Raffaele D’Ambrosio, Martina Moccaldi, Beatrice Paternoster, Federico Rossi

      Pages 59-69

3. Biological Systems

   1. Front Matter

      Pages 71-71

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   2. Understanding Embodied Cognition by Building Models of Minimal Life

      • Luisa Damiano, Pasquale Stano

      Pages 73-87

   3. Computing Hierarchical Transition Graphs of Asynchronous Genetic Regulatory Networks

      • Marco Pedicini, Maria Concetta Palumbo, Filippo Castiglione

      Pages 88-103

   4. The Impact of Self-loops in Random Boolean Network Dynamics: A Simulation Analysis

      • Sara Montagna, Michele Braccini, Andrea Roli

      Pages 104-115

   5. A Comparison Between Threshold Ergodic Sets and Stochastic Simulation of Boolean Networks for Modelling Cell Differentiation

      • Michele Braccini, Andrea Roli, Marco Villani, Roberto Serra

      Pages 116-128

   6. A Relevance Index Method to Infer Global Properties of Biological Networks

      • Marco Villani, Laura Sani, Michele Amoretti, Emilio Vicari, Riccardo Pecori, Monica Mordonini et al.

      Pages 129-141

   7. Dynamical Properties of a Gene-Protein Model

      • Davide Sapienza, Marco Villani, Roberto Serra

      Pages 142-152

   8. Simulating Populations of Protocells with Uneven Division

      • Martina Musa, Marco Villani, Roberto Serra

      Pages 153-164

   9. An Integrated Model Quantitatively Describing Metabolism, Growth and Cell Cycle in Budding Yeast

      • Pasquale Palumbo, Marco Vanoni, Federico Papa, Stefano Busti, Meike Wortel, Bas Teusink et al.

      Pages 165-180

   10. Estimating Effects of Extrinsic Noise on Model Genes and Circuits with Empirically Validated Kinetics

       • Samuel M. D. Oliveira, Mohamed N. M. Bahrudeen, Sofia Startceva, Andre S. Ribeiro

       Pages 181-193

4. Economy and Society

   1. Front Matter

      Pages 195-195

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   2. Calibrating Dynamic Factor Models with Genetic Algorithms

      • Fabio Della Marra

      Pages 197-211

   3. Functional Interactions in Complex Networks: A Three-Step Methodology for the Implementation of the Relevance Index (RI)

      • Riccardo Righi, Sofia Samoili

      Pages 212-228

This book constitutes the revised selected papers of the 12th Italian Workshop on Advances in Artificial Life, Evolutionary Computation, WIVACE 2017, held in Venice, Italy, in September 2017.The 23 full papers presented were thoroughly reviewed and selected from 33 submissions. They cover the following topics: physical-chemical phenomena; biological systems; economy and society; complexity; optimization.

• artificial intelligence
• boolean algebra
• boolean networks
• cluster analysis
• clustering
• evolutionary algorithms
• formal logic
• genetic algorithms
• robotics
• semantics
• algorithm analysis and problem complexity

• Ca’ Foscari University of Venice, Venice, Italy

  Marcello Pelillo, Irene Poli, Debora Slanzi

• University of Bologna, Cesena, Italy

  Andrea Roli

• University of Modena and Reggio Emilia, Modena, Italy

  Roberto Serra, Marco Villani

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