LevinaLab/evolution_dynamical_regime
Which dynamical regime is beneficial for biological systems in the context of the criticality hypothesis? Agent-based evolutionary foraging game with experiments to evaluate generalizability, ability to perform complex tasks and evolvability of agents with respect to their dynamical regime. Paper: https://arxiv.org/abs/2103.12184
This simulation framework helps researchers and computational biologists explore how different 'dynamical regimes' (like order, disorder, or criticality) impact the success of artificial organisms. You input parameters for a foraging game and the evolutionary process, then it simulates populations of neural network-controlled agents. The output provides data on how well these organisms generalize tasks, solve complex problems, and evolve, depending on their underlying dynamical state, helping to understand biological system optimization.
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Use this if you are a computational biologist or criticality researcher interested in simulating the evolution of agents to understand how different dynamical regimes affect their performance and adaptability.
Not ideal if you're looking for a user-friendly application to model real-world biological populations or need to analyze existing biological datasets.
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May 06, 2021
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