This paper gives a critical account of the literature on adaptive behaviour in the minority game, a simple congestion game. The literature has proposed a model which differs markedly from many standard learning models in that players are endowed with a fixed subset of behavioural rules or response modes which map the observed history to actions. These rules need not have a behavioural interpretation or be derived from some form of optimizing behaviour. Nonetheless, this model gives rise to behaviour that is close to equilibrium behaviour at the aggregate level. The individual‐level behaviour predicted by the model seems to capture some aspects of observed experimental behaviour that are difficult to explain using standard models
Abstract: We consider boundedly rational learning processes in which players have a priori limited s...
This thesis concerns the foundations of equilibrium notions in game theory. Game theory and its equi...
The minority game (MG) is a simple yet effective binary-decision model which is well suited to study...
This paper gives a critical account of the minority game literature. The minority game is a simple c...
This paper gives a critical account of the minority game literature. The minority game is a simple c...
The minority game is a simple congestion game with two actions and an odd number of players. Players...
The minority game is a simple congestion game in which the players’ main goal is to choose among two...
In minority games, players in a group must decide at each round which of two available options to ch...
A learning rule is adaptive if it is simple to compute, requires little information about the action...
The paper reports simulations applied on two similar congestion games: the first is the classical mi...
The minority model was introduced to study the competition between agents with limited information. ...
The work studies the properties of a coordination game in which agents repeatedly compete to be in t...
In this paper, we investigate the aggregate behavior of populations of learning agents. We compare t...
This paper deals with the problem of specifying a general learning model, the rationality of which i...
Recent models of learning in games have attempted to produce individual-level learning algorithms th...
Abstract: We consider boundedly rational learning processes in which players have a priori limited s...
This thesis concerns the foundations of equilibrium notions in game theory. Game theory and its equi...
The minority game (MG) is a simple yet effective binary-decision model which is well suited to study...
This paper gives a critical account of the minority game literature. The minority game is a simple c...
This paper gives a critical account of the minority game literature. The minority game is a simple c...
The minority game is a simple congestion game with two actions and an odd number of players. Players...
The minority game is a simple congestion game in which the players’ main goal is to choose among two...
In minority games, players in a group must decide at each round which of two available options to ch...
A learning rule is adaptive if it is simple to compute, requires little information about the action...
The paper reports simulations applied on two similar congestion games: the first is the classical mi...
The minority model was introduced to study the competition between agents with limited information. ...
The work studies the properties of a coordination game in which agents repeatedly compete to be in t...
In this paper, we investigate the aggregate behavior of populations of learning agents. We compare t...
This paper deals with the problem of specifying a general learning model, the rationality of which i...
Recent models of learning in games have attempted to produce individual-level learning algorithms th...
Abstract: We consider boundedly rational learning processes in which players have a priori limited s...
This thesis concerns the foundations of equilibrium notions in game theory. Game theory and its equi...
The minority game (MG) is a simple yet effective binary-decision model which is well suited to study...