#Ootp baseball common ai bugs software
#Ootp baseball common ai bugs mac

My present approach for generating the stats will be to assume a standard bell curve for a statistic and randomize the stats based on a normal distribution. The simple version of the tool will generate names, positions, and some basic stats for the players.

As with all the tools I’ll need to develop, my plan is to start simple and layer on complexity over time. One of the tools I will need to create, therefore, is a player generator. Since I’m not using real players, I need a way of bootstrapping players. Over the last several weeks, I have drawn up a plan for how I will approach this. My approach to all of this is starting very simple and layering on more and more complexity. 400 in a season? Did anyone break a 56-game hitting streak? Who is the home run kings and what is the record? Did any pitcher throw a perfect game? The ultimate goal of my initial 1 experiment is to be able to simulate 100 continuous seasons of baseball, and then look at the resulting number and see who are the leaders? Did anyone every hit. Fictional players, randomly generated, moving through careers based on statistically valid simulations. Part of the point is to think of this as almost an alternate history to baseball.

But at the simplest level, I’m satisfied with producing text-based box scores, play-by-plays, rosters, lineups, standings, etc.įourth, I’m not interested in using real players. My ideal output and presentation layer would be something akin to WolframAlpha, for baseball, where you could type in some natural language queries and get a boatload of results, charts, graphs, numbers, etc. My simulation will be entirely text-based. Third, I’m not interested in developing the kind of elaborate interface that OOTP has. I’m currently more interested in simulating human management through some basic game AI. I’m not (at the moment) interested in human management in the game. It gets to some of what I am looking to do, but not all of it.

#Ootp baseball common ai bugs mac

Not only did I look at this, but I bought a copy for my Mac and played around with it a bit. The top-of-the-line appears to be Out of the Park Baseball.

#Ootp baseball common ai bugs software

Second, I’ve looked at the software that is out there.

It allows me to tinker in ways that I could not do with off-the-shelf software.It allows me to dive deeper into a development package–in this case, Mathematica–that I want to know better.It allows me to make a deeper exploration of baseball by implementing it as a simulation myself.I’m interested in the internal mechanics of how such a piece of software might work.

Sure, there is software out there that can do this, but it exposes only the results. The first, and most important reason, for me, is to learn. I explained some of my reasons for doing this in my original post, and a few people pointed out that there was already software out there that does this, so why reinvent the wheel? I have a couple of thoughts on this: I haven’t had much of a chance to do actual work on it, but in the months since, I’ve done a lot of reading, particularly on the science of sabermetrics, and I now have a plan, at least, for moving forward with this little experiment. Back in August, I wrote a post about my Baseball Century Experiment.