Titlebook: Artificial Life and Evolutionary Computation; 17th Italian Worksho Marco Villani,Stefano Cagnoni,Roberto Serra Conference proceedings 2024

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Kauffman Model with?Spatially Separated Ligation and?Cleavage Reactionsocatalytic sets in which some macromolecules mutually catalyze each other’s formation. This mechanism is theoretically described in the Kauffman model. We introduce and simulate an extension of the Kauffman model, in which ligation and cleavage reactions are spatially separated in different containe

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PLE

Entangled Gondolas. Design of?Multi-layer Networks of?Quantum-Driven Robotic Swarmsarms of robots to clean the canals of Venice, interacting with computers on gondolas. The interaction between gondolas is one level higher in the hierarchy of communication. In other studies, pairwise communications between the robots in robotic swarms have been modeled via quantum computing. Here,

EVICT

Generalizations of?Evolved Decision-Making Mechanisms in?Swarm Collective Perceptionrm of robots engaged in a collective perception task. The neuro-controllers are both designed—using evolutionary computation—to operate in a randomly distributed cues environment, but under different conditions for what concerns the length of the communication range characterising the robots interac

STELL

https://doi.org/10.1007/978-3-030-81736-7ess function for 500 generations, we select interesting runs for an extended evolutionary time of 2500 generations. Results indicate that the kernel’s center of mass increases with a specific set of pixels and the overall complexity measures also increase. We also utilize our evolutionary method ini

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CANT

https://doi.org/10.1007/978-1-4471-5146-3f taxonomy. Based on the obtained results, it emerges that m-DAGs are a good compromise between the amount of network information and the computational effort needed to obtain reliable patterns on the taxonomic clustering of the different organisms.

真實(shí)的人

https://doi.org/10.1007/978-1-4471-5146-3c information. Its quantitative measure is obtained for a smart drug delivery scenario where synthetic cells sense an environment made up of cancerous cells. These release a signal molecule that triggers the production of a cytotoxic drug by the synthetic cell. For the same scenario, the stored sema

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