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Predator-Prey Model in Quantum Computing

This repository implements a version of the predator-prey model of cognitive science in quantum computing.

The serial.py file has the code to implement a serial approach to the predator-prey model. Such an approach consists of the following steps:

  1. Update the model's parameters from the previous iteration
  2. Allocate attention based on a model (maximizing predicted reward)
  3. Observe locations
  4. Decide on the next optimal location