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This project forked from aprili1u/fish-network

Background There may be many forms of selective pressure acting on the evolution of cognitive ability. One hypothesis is that complex social environments lead to the evolution of increased social cognition. However, a consistent framework for quantifying the complexity of a social environment and the precise factors that influence that complexity has yet to be created. Aims The aim of this project is to assess how the parameters of different networks affect selective pressure on the evolution of cognitive ability in simulations. Strategy This agent-based model is centered around an energy trade-off and the costs and benefits of repeated games between agents. Agents gain energy by consuming resources and expend energy for maintaining their body size and brain; excess energy is stored and can be used when interacting with other fish. To consume a resource, fish enter a repeated Hawk-Dove game with another fish. The interaction ends when at least one Fish plays Dove or when one fish dies. Fish die if their energy reaches zero and during natural mortality that is weighted by their stored energy. Each fish is defined by its body size investment, cognitive investment, and behavioral strategy. At any given time step, a fish also has an energy level, a specific memory, and a position in a network. When fish die, they are replaced by mutated clone of surviving fish weighted by their stored energy. Over time, we expect that different networks will produce different distributions of body size investment, cognitive investment, and behavioral strategy.