What is the minimax principle in game theory, and how does it apply to two-player games like chess or Go?
Tuesday, 11 June 2024
by EITCA Academy
The minimax principle is a cornerstone concept in game theory, particularly pertinent in the domain of two-player zero-sum games such as chess and Go. This principle fundamentally revolves around the strategic decision-making process where one player's gain is inherently the other player's loss. The minimax principle aims to minimize the possible loss for a worst-case
- Published in Artificial Intelligence, EITC/AI/ARL Advanced Reinforcement Learning, Case studies, Classic games case study, Examination review
Tagged under:
Alpha-Beta Pruning, Artificial Intelligence, Chess, Game Theory, Go, Minimax Algorithm

