l consistency where no player can improve their own outcome by changing their strategy, assuming the other players’ strategies remain unchanged
Supervised learning
Supervised learning is a type of machine learning algorithm where the system is trained using labeled data. Labeled data means that each data point is associated with a known output value or label. The goal of supervised learning is to learn a mapping function from input variables (features) to output variables (labels), based on the training data.
Machine learning algorithms
Machine learning algorithms are computer programs that enable machines to learn from data and make predictions or decisions based on that learning. There are various types of machine learning algorithms, including:
AI (Artificial Intelligence) and ML (Machine Learning)
AI refers to the simulation of human intelligence in machines that are programmed to think and learn like humans. AI systems can be designed to perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation.