Carletti / Njougouo / Tuci | Artificial Life and Evolutionary Computation | Buch | 978-3-031-93630-2 | sack.de

Buch, Englisch, 303 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Communications in Computer and Information Science

Carletti / Njougouo / Tuci

Artificial Life and Evolutionary Computation

18th Italian Workshop, WIVACE 2024, Namur, Belgium, September 11–13, 2024, Revised Selected Papers
Erscheinungsjahr 2025
ISBN: 978-3-031-93630-2
Verlag: Springer

18th Italian Workshop, WIVACE 2024, Namur, Belgium, September 11–13, 2024, Revised Selected Papers

Buch, Englisch, 303 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Communications in Computer and Information Science

ISBN: 978-3-031-93630-2
Verlag: Springer


This book constitutes revised selected papers from the 18th Italian Workshop on Artificial Life and Evolutionary Computation, WIVACE 2024, which took place in Namur, Belgium, during September 11-13, 2024.

The 23 full papers included in this book were carefully reviewed and selected from 40 submissions.The  workshop brings together computer scientists, mathematicians, biologists, psychologists, and cognitive scientists to discuss issues related to the original of life, evolution and adaption, collective and social behaviours and other topics related to the development of technological solutions inspired by biological principles.

Carletti / Njougouo / Tuci Artificial Life and Evolutionary Computation jetzt bestellen!

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Research

Weitere Infos & Material


.- Emergent Dynamics in Heterogeneous Life-Like Cellular Automata.
.- Autonomous Traffic Management: Integrating Vissim Traffic Model with a Swarm of Drones.
.- Analysing Opinion Dynamics via a Cognitive Model of Structured Beliefs. 
.- When is Reservoir Computing with Cellular Automata Beneficial?.
.- Chemotactic swarming of C. elegans as a collective decision-making process.
.-  Factors Impacting Landscape Ruggedness in Control Problems: a Case Study.
.- Steps to chemically embodied cognition.
.- Benchmarking Decision-Making Mechanisms for Site Selection.
.- Emergent Naming System in an Unknown Dynamic Environment: a Collective Perception Scenario.
.- Mixed-variable surrogate-based optimization using affinity features toimprove the distance for categorical variables.
.- Using pseudo-attractors of genetic regulatory networks to analyze biological data.
.- Costs of Information Gathering Strategies and Their Impact on Animal Dispersal.
.- Cooperation in Evolved Modular Soft Robots.
.-Energy-Aware Neural Architecture Search: Leveraging Genetic Algorithms for Balancing Performance and Consumption.
.- Explainable Multi-label Classification for Predictive Maintenance.
.- Cross-Entropy Regularization with Mutual Information in Training CNNs.
.- Implementation of the response to synchronization in e-puck2 robots.
.- Attractive-repulsive challenge in swarmalators with time-dependent speed.
.- A ”Plug and Play” Table for Composable Molecular Neural Networks Built with DNA.
.- Educational Robotics: from Computational to Complexity Thinking.
.- An Ecological Model of Cancer Development and Control.
.- Stability of Input Representations in Biological Neural Network Reservoirs.
.- Latent agency: A proto-cognitive property of autonomous systems.



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