Resource Distributions

(InflGame.domains.rd)

This module provides functions to compute and select resource distributions for influencer games. It includes implementations for various types of resource distributions, such as beta, Dirichlet, and multi-modal Gaussian distributions in 1D and 2D domains.

The module is designed to work with the InflGame package and supports resource distribution evaluation over specified bin points. These distributions are used to model resource availability in different domains and scenarios of influencer games.

Functions:

Function	Description
resource_distribution_choice	Selects and computes a resource distribution based on the specified type and parameters.
multi_modal_gaussian_distribution_1D	Computes a 1D multi-modal Gaussian mixture distribution for resources.
multi_modal_gaussian_distribution_2D	Computes a 2D multi-modal Gaussian mixture distribution for resources.
beta_distribution	Computes a beta distribution for resources on the 2-simplex.
dirichlet_distribution	Computes a Dirichlet distribution for resources.

Usage:

The resource_distribution_choice function serves as the main entry point for selecting and computing a resource distribution based on the specified type and parameters.

Example:

import numpy as np
from InflGame.domains.rd import resource_distribution_choice

# Define bin points and parameters
bin_points = np.linspace(0, 1, 100)
resource_type = "beta"
resource_parameters = [2, 5]

# Compute the resource distribution
resources = resource_distribution_choice(bin_points, resource_type, resource_parameters)
print(resources)