Thanks for the suggestion, Brian. I'm not familiar with Tom Tango's The Book, but I'll certainly look into it.
One thing worth clarifying is that ActionSims doesn't use AI to manage teams or determine game outcomes. The computer manager operates entirely through rules, probabilities, and decision-making logic that we explicitly program into the game.
We can certainly incorporate research and established baseball strategies into that logic, but each decision has to be evaluated and implemented in code. There's also the challenge of accounting for how baseball strategy has changed across different eras.
I'm always interested in improving the computer manager, particularly when those improvements make the game more believable. I'll take a look at Tango's work and see what we might learn from it.
Thanks for the suggestion, Brian. I'm not familiar with Tom Tango's The Book, but I'll certainly look into it.
One thing worth clarifying is that ActionSims doesn't use AI to manage teams or determine game outcomes. The computer manager operates entirely through rules, probabilities, and decision-making logic that we explicitly program into the game.
We can certainly incorporate research and established baseball strategies into that logic, but each decision has to be evaluated and implemented in code. There's also the challenge of accounting for how baseball strategy has changed across different eras.
I'm always interested in improving the computer manager, particularly when those improvements make the game more believable. I'll take a look at Tango's work and see what we might learn from it.
Thanks again for the suggestion!