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Dosidicus 2.4.1

simulation · Rufus Pearce

Dosidicus electronicae A digital pet with a simple neural network [research project] https://github.com/ViciousSquid/Dosidicus * Includes tools for visualising and understanding neural networks, Hebbian learning and Neurogenesis Autonomous Behavior: The squid neural network makes autonomous decisions based on current state (hunger, sleepiness, etc.). Implements a vision cone for food detection, simulating realistic foraging behavior. Hebbian learning algorithm runs every 30 seconds (configurable) Experiences from short-term and long-term memory can influence decision-making Squid can create new neurons in response to his environment (Neurogenesis) Fully documented (https://github.com/ViciousSquid/Dosidicus/wiki) Needs Management System: Tracks various needs like hunger, sleepiness, happiness, and cleanliness. Needs change over time and affect the pet's health and behaviour. The squid can become sick and die if his needs are neglected. Personality system Seven different personality types which influence behaviour

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