Add to ORKGWe exhibit a large class of simple rules of behavior, which we call adaptive heuristics, and show that they generate rational behavior in the long run. These adaptive heuristics are based on natural regret measures, and may be viewed as a bridge between rational and behavioral viewpoints. The results presented here, taken together, establish a solid connection between the dynamic approach of adaptive heuristics and the static approach of correlated equilibria.
This thesis investigates stochastic adaptive learning and contrasts models of adaptive individuals ...
Many experiments have shown that human subjects do not nec-essarily behave in line with game theoret...
Without the ability to decide and thus give order to a universe - that was originally a chaotic mass...
We propose a simple adaptive procedure for playing a game. In this procedure, players depart from th...
How do people make decisions when time is limited, information unreliable, and the future uncertain?...
I study the path properties of adaptive heuristics that mimic the natural dynamics of play in a game...
Research on adaptive rationality has focused principally on inference, judgment, and decision-making...
This chapter shows how simple heuristics can be an essential tool for navigating the complexities an...
ABSTRACT—The adaptive toolbox is a Darwinian-inspired theory that conceives of the mind as a modular...
In this paper an adaptive decision model based on predictive loops through feeling states is analyse...
In this paper an adaptive decision model based on predictive loops through feeling states is analyse...
Laboratory studies have shown that people cannot handle the time constants in dynamic tasks. Yet the...
We exhibit and characterize an entire class of simple adaptive strategies, in the repeated play of a...
The paper proposes a framework to extend regret theory to dynamic contexts. The key idea is to conce...
Abstract. For the prediction with expert advice setting, we consider methods to construct algorithms...
This thesis investigates stochastic adaptive learning and contrasts models of adaptive individuals ...
Many experiments have shown that human subjects do not nec-essarily behave in line with game theoret...
Without the ability to decide and thus give order to a universe - that was originally a chaotic mass...
We propose a simple adaptive procedure for playing a game. In this procedure, players depart from th...
How do people make decisions when time is limited, information unreliable, and the future uncertain?...
I study the path properties of adaptive heuristics that mimic the natural dynamics of play in a game...
Research on adaptive rationality has focused principally on inference, judgment, and decision-making...
This chapter shows how simple heuristics can be an essential tool for navigating the complexities an...
ABSTRACT—The adaptive toolbox is a Darwinian-inspired theory that conceives of the mind as a modular...
In this paper an adaptive decision model based on predictive loops through feeling states is analyse...
In this paper an adaptive decision model based on predictive loops through feeling states is analyse...
Laboratory studies have shown that people cannot handle the time constants in dynamic tasks. Yet the...
We exhibit and characterize an entire class of simple adaptive strategies, in the repeated play of a...
The paper proposes a framework to extend regret theory to dynamic contexts. The key idea is to conce...
Abstract. For the prediction with expert advice setting, we consider methods to construct algorithms...
This thesis investigates stochastic adaptive learning and contrasts models of adaptive individuals ...
Many experiments have shown that human subjects do not nec-essarily behave in line with game theoret...
Without the ability to decide and thus give order to a universe - that was originally a chaotic mass...