implement risky bet simulation

[rlskoeser]

Game for grid: RISKY-BET
Fixed agents with random fixed risk attitudes (same as in RISKY-FOOD)
Everyone starts with $1000
Each round, you can go for SAFE, which keeps your same amount of money, or RISKY, which either multiplies your money by 0.5 or multiplies your money by 1.5.
Each round, there is a p probably of the RISKY bet paying off
Each agent has a risk attitude r, and will take the RISKY bet if p > r

After every 10 rounds, look at your neighbors (4). If anyone has more money than you, adopt their risk attitude [other possibilities: you could average between your risk attitude and theirs]. And then reset at $1000 each?? OR not, try both

Collect how distribution of risk attitudes changes over time. Visualize a grid in two colors (or spectrum of colors) or bins.
0-0.2, 0.2-0.4, 0.4-0.6, 0.6-0.8, 0.8-1

revisions after discussion and review in 2023-06-21 meeting:

• add unit tests to confirm logic is implemented correctly
• revise language / add comments to make logic clearer (risk attitudes, payoff)
• check edge neighbor behavior (risk attitude not adjusting?)
• use 11 bins for colors, based on the 0.5s, since 0, 1, and 0.5 are special cases (0-.05, .05-.15, .15-.25, .25-.35…)
• document the simulation in a readme