Buch, Englisch, 198 Seiten, Format (B × H): 155 mm x 235 mm
19th Italian Workshop, WIVACE 2025, Siena, Italy, September 3–5, 2025, Proceedings
Buch, Englisch, 198 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Communications in Computer and Information Science
ISBN: 978-3-032-33184-7
Verlag: Springer
This book constitutes the proceedings of the 19th Italian Workshop on Artificial Life and Evolutionary Computation, WIVACE 2025, which took place in Siena, Italy, during September 3-5, 2025.
The 14 full papers included in these proceedings were carefully reviewed and selected from 21 submissions. They were organized in the following topical sections: Artificial life for environment management; AILife: Artificial Intelligence in Life Sciences; Going deep in the origin and diversity of life; and ALife in complex environments.
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Research
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Weitere Infos & Material
.- Artificial life for environment management.
.- Venezia the living city.
.- Multi-Agent Learning for Multi-Intersection Traffic Control with a Swarm of Drones.
.- Accelerating Landslide Temporal Forecasting through a Re-engineered Software System: GASAKe 2.1.
.- AILife: Artificial Intelligence in Life Sciences.
.- A comparison on Cross–Domain Representation Learning for Skin–Lesion Classification.
.- Comparing General and Domain-Specific Pre-trained Language Models for Natural Product Classification.
.- Electrical Dynamics in Living Scenedesmus acutus.
.- Going deep in the origin and diversity of life.
.- Collective autocatalysis in a modified binary polymer model.
.- Thermodynamics of Biological Switches.
.- Complex System Exploration with Interactive Human Guidance.
.- A phenomenological glider? Enactivism and IIT in the Game of Life.
.- ALife in complex environments.
.- Characterization of bow-tie zones in unknown systems.
,- Toward a Gaian Synthetic Approach. Techno-Apoptosis as a Catalyst for Sustainable Robotics.
.- Impact of the COVID-19 Outbreak on the Italian Twitter Vaccination Debate: A Network-Based Analysis.
.- Numerical Modeling of Surface Reactions in Chemoresistive Gas Sensors: A Computational Approach to Predictive Behavior.
