We simulated an economy with 1000 buyers and (unless otherwise
specified) 5 pricebots.
employing the aforementioned pricing strategies. In the simulations
depicted below, each buyer's valuation of the good v = 1, and each
seller's production cost c = 0.5. The mixture of buyer types is set
at 
,i.e., 75% are bargain hunters, or shopbot users. The
simulations were asynchronous: at each time step, a buyer or seller
was randomly selected to carry out an action (e.g., buying an item or
resetting a price). The chance that a given agent was selected for
action was determined by its rate; the rate 
at which a given
buyer b attempts to purchase the good was set to 0.001, while the
rate 
at which a given seller reconsiders its price was
0.00002 (except where otherwise specified). Each simulation was
iterated for 100 million time steps.