Artificial Life and Evolutionary Computation

This book constitutes the refereed post proceedings of the 17th Italian Workshop on Artificial Life and Evolutionary Computation, WIVACE 2023, held in Venice, Italy, during September 68, 2023.

The 30 full papers included in this book were carefully reviewed and selected from 55 submissions. They were organized in topical sections as follows: Algorithms for complex systems, Biologically inspired models, Complex chemical systems, Adaptation and swarms, Learning, Medicine and Social systems.

Inhalt
**Algorithms for complex systems.- Energy consumption of evolutionary algorithms in JavaScript.- A Tabu Search Algorithm for the Map Labeling Problem.- Detection and Classification of Risks from Radar Data.- Capturing Emerging Complexity in Lenia.- On the detection of significant pairwise interactions in complex systems.- Biologically inspired models.- The properties of pseudo-attractors in random Boolean networks.- Analysing the expressiveness of metabolic networks representations.- scFBApy: a Python framework for super-network Flux Balance Analysis.- Semantic Information as a Measure of Synthetic Cells' Knowledge of the Environment.- General Lines, Routes and Perspectives of Wetware Embodied AI. From its Organizational Bases to a Glimpse on Social Chemical Robotics.- A proposed mechanism for in vivo programming transmembrane receptors.- Complex chemical systems.- Kauffman Model with Spatially Separated Ligation and Cleavage Reactions.- Percolation Breakdown in Binary and Ternary Monodisperse and Polydisperse Systems of Spherical Particles.- **Adaptation and swarms.- Entangled Gondolas. Design of Multi-Layer Networks of Quantum-Driven Robotic Swarms.- Generalizations of evolved decision-making mechanisms in swarm collective perception.- An investigation of graceful degradation in Boolean network robots subject to onlineadaptation.- Blockchain-Empowered PSO for Scalable Swarm Robotics.-GP/PSO-based embedding of 1-D signals in an auto-encoder fashion.- Learning.- Local delay plasticity supports generalized learning in spiking neural networks.- Improving PVC Detection in ECG Signals: A Recurrent Neural Network Approach.- Medicine.- Clustering Trajectories to study Diabetic Kidney Disease.- Multi-Classification of Alzheimer's Disease by NSGA-II Slices Optimization and Fusion Deep Learning.- Exploiting the potential of Bayesian networks in deriving new insight into Diabetic Kidney Disease (DKD).- A genetic algorithm for feature selection for Alzheimer's Disease Detection Using a Deep Transfer Learning Approach.- Social systems.- Learning whether to be informed in an agent-based evolutionary market model.- Heterogeneous mean-field analysis of best-of-n decision making in networks with zealots.- Does `community detection analysis' find real communities? A statistical evaluationbased on complex networks methods.- Self-loops in social networks: behavior of eigenvector centrality.- Evolutionary Story Sifting over the Log of a Social Simulation.- Evolution of Attraction for Cooperation.