Try something like:
The current board state is:
board = [['', '', ''],
['', '', ''],
['', '', '']];
write a javascript function called bestMove(board) that predicts the best tic-tac-toe move to make given a board. use that function to update the board state and return the board state in JSON form.
The response will have a bunch of functions like
function bestMove(board) {
function getEmptySpaces(board) {
function predictBestMove(board, player) {
function minimax(board, isMaximizing) {
function checkWinner(board) {
...
These functions should work together to determine the best move to make in a game of Tic-Tac-Toe, using the minimax algorithm to evaluate each possible move and choosing the one with the highest score.
Then eval and execute the bestMove function, passing in the initial board state, returning the updated board state. Then the human player makes a move.
Then another prompt:
Try something like:
The current board state is:
board = [['X', '', ''],
['', 'O', ''],
['', '', '']];
assume there is a function called bestMove(board) and checkWinner(board) that predicts the best tic-tac-toe move to make given a board. use those functions to update the board state and check the winner and return the board state and current winner in JSON form.
etc...
Using my little engine, I get this solution:
question: "Answering as [rowInt, colInt], writing custom predictBestMove, getEmptySpaces, minimax and checkWinner functions implemented in the thunk, what is the best tic-tac-toe move for player X on this board: [['X', '_', 'X'], ['_', '_', '_'], ['_', '_', '_']]?",
answer: [ 0, 1 ],
https://gist.github.com/williamcotton/e6bdcca0a96a6e7bf5d2fe...