I don't see any need to "solve" the "problem", at least in this context. The goal is maximize utility, not to minimize "surprise". All we care about is the ordinal values of the choices; getting the quantitative values right is simply a means to that end. The "solution" presented in your article doesn't make any sense; unless there's some asymmetry between the choices, how can your "solution" change the ordinal value of the choices?