The theme of this course is the allocation of n objects (or elements) into g categories (or classes), discussed from several viewpoints. We shall start from descriptions of the world as facts (taking place or not), and events as propositions (true or not) about facts (taking place or not). Not everything in the world is known, and what remains is a set of possibilities. For this reason, events...
The theme of this course is the allocation of n objects (or elements) into g categories (or classes), discussed from several viewpoints. We shall start from descriptions of the world as facts (taking place or not), and events as propositions (true or not) about facts (taking place or not). Not everything in the world is known, and what remains is a set of possibilities. For this reason, events...
The theme of this course is the allocation of n objects (or elements) into g categories (or classes), discussed from several viewpoints. We shall start from descriptions of the world as facts (taking place or not), and events as propositions (true or not) about facts (taking place or not). Not everything in the world is known, and what remains is a set of possibilities. For this reason, events...
The theme of this course is the allocation of n objects (or elements) into g categories (or classes), discussed from several viewpoints. We shall start from descriptions of the world as facts (taking place or not), and events as propositions (true or not) about facts (taking place or not). Not everything in the world is known, and what remains is a set of possibilities. For this reason, events...
The theory of Mean Field Games (MFGs hereafter) is a powerful framework for analyzing scenarios in which a large number of forward-looking players interact through the distributions of their state. MFG theory is strongly connected to the study of Nash equilibria in N-player games for large N (number of the agents), a central topic in many applications, which yet presents significant...
The theory of Mean Field Games (MFGs hereafter) is a powerful framework for analyzing scenarios in which a large number of forward-looking players interact through the distributions of their state. MFG theory is strongly connected to the study of Nash equilibria in N-player games for large N (number of the agents), a central topic in many applications, which yet presents significant...
The theory of Mean Field Games (MFGs hereafter) is a powerful framework for analyzing scenarios in which a large number of forward-looking players interact through the distributions of their state. MFG theory is strongly connected to the study of Nash equilibria in N-player games for large N (number of the agents), a central topic in many applications, which yet presents significant...
The theory of Mean Field Games (MFGs hereafter) is a powerful framework for analyzing scenarios in which a large number of forward-looking players interact through the distributions of their state. MFG theory is strongly connected to the study of Nash equilibria in N-player games for large N (number of the agents), a central topic in many applications, which yet presents significant...
The theory of Mean Field Games (MFGs hereafter) is a powerful framework for analyzing scenarios in which a large number of forward-looking players interact through the distributions of their state. MFG theory is strongly connected to the study of Nash equilibria in N-player games for large N (number of the agents), a central topic in many applications, which yet presents significant...
The theme of this course is the allocation of n objects (or elements) into g categories (or classes), discussed from several viewpoints. We shall start from descriptions of the world as facts (taking place or not), and events as propositions (true or not) about facts (taking place or not). Not everything in the world is known, and what remains is a set of possibilities. For this reason, events...
