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