Number of agents:	9

Number of arms:	2

		arm mean (μ): variance (σ²):
		arm mean (μ): variance (σ²):
		arm mean (μ): variance (σ²):
		arm mean (μ): variance (σ²):
		arm mean (μ): variance (σ²):
		arm mean (μ): variance (σ²):
		arm mean (μ): variance (σ²):

Learning Problem

	Unknown μ and known σ²
	Agents learn about each arm's μ by observing the payouts yielded by that arm. Agents update their beliefs using Bayes' Theorem Agents' initial beliefs are given by the improper flat prior (i.e., p(μ) is proportional to a constant). Agents choose the arm with the greatest E(μ).
	Unknown μ and unknown σ²
	Agents learn about each arm's μ and σ² by observing the payouts yielded by that arm. Agents update their beliefs using Bayes' Theorem. Agents' initial beliefs are given by the improper prior p(μ,σ²) ∝ (σ²)^-1. Agents choose the arm with the greatest E(μ).