Artificial intelligence for chess that can be adapted to another board game?

Question

Artificial intelligence

Good afternoon!
I'm exploring the possibility of making AI for this wonderful (but almost unknown in Russia) game: en.wikipedia.org/wiki/Djambi
I came to the conclusion that it would be easiest to adapt a simple ready-made chess AI for it.
I am looking for an AI that meets the following requirements:
- source code is available;
- the ability to adapt to another board-based game, with a different set of pieces and rules from chess;
- the ability to adapt to a game focused on 3..6 people at the table.
I think it would be logical if this is not an engine focused on using ready-made "chess" combinations and endgames, but using an abstract representation of the field and pieces on it and a mathematical calculation of the "efficiency" of a particular move.

Answer 1

Dig towards minimax (preferably with alpha-beta cutoffs), and I think that you will change your mind about "the easiest thing would be to adapt a simple ready-made chess AI for it."

Answer 2

I came up with a different approach:
1. for each enemy piece, create a relationship with each cell of the field and identify the possibility of a strike
2. for each of my pieces, create a relationship with each cell of the field and determine possible moves and possible attacks
3. calculate the cost of a move for each available move , IF UNDER ATTACK = MINUS THE PRICE OF THE WALKER, IF ATTACK = PLUS THE PRICE OF THE ATTACKED, PLUS THE SUM OF ALL FLOOR(SHEETS UNDER ATTACK AFTER THE MOVE
)
or just take a 100% move, or if there are several 100% moves, then take a random