This paper seeks to connect the literatures from artificial intelligence, economics, and cognitive science to make the case that not only is the notion of bounded optimality from the AI literature the right goal for agent design, it can also serve as a principled means for modeling boundedly rational agents in complex systems like economic markets. While appealing, this goal leaves open two critical questions. First, bounded optimality is defined over an expected set of problems the agent might face and it is not obvious what criterion to use for expected problems. Second, it will typically be impossible to design a provably boundedly optimal agent even given a set of expected problems, because the agent design problem itself is intractable...
Rationality in games and decisions is traditionally understood as requiring that agents act optimall...
We propose a framework for including information-processing bounds in rational analyses. It is an ap...
A central question in game theory, learning, and other fields is how a rational intelligent agent sh...
Since its inception, articial intelligence has relied upon a theoretical foundation cen-tred around ...
Abstract. Non-classical models of economic behaviour, usually sum-marised under the notion of ’Bound...
Non-classical models of economic behaviour, usually summarised under the notion of 'Bounded Rational...
This paper examines the use of evolutionary programming in agent-based modelling to implement the th...
Non-classical models of economic behaviour, usually summarised under the notion of 'Bounded Rational...
This paper examines the use of evolutionary programming in agent-based modelling to implement the th...
If you accept that evolved agents will be only boundedly rational, what are the consequences for the...
Non-classical models of economic behaviour, usually summarised under the notion of 'Bounded Rational...
Non-classical models of economic behaviour, usually summarised under the notion of 'Bounded Rational...
This thesis investigates the problem of emulating seemingly irrational behaviour with the use of a r...
This thesis investigates the problem of emulating seemingly irrational behaviour with the use of a r...
In this paper I will present an analysis of the impact that the notion of “bounded rationality”, ...
Rationality in games and decisions is traditionally understood as requiring that agents act optimall...
We propose a framework for including information-processing bounds in rational analyses. It is an ap...
A central question in game theory, learning, and other fields is how a rational intelligent agent sh...
Since its inception, articial intelligence has relied upon a theoretical foundation cen-tred around ...
Abstract. Non-classical models of economic behaviour, usually sum-marised under the notion of ’Bound...
Non-classical models of economic behaviour, usually summarised under the notion of 'Bounded Rational...
This paper examines the use of evolutionary programming in agent-based modelling to implement the th...
Non-classical models of economic behaviour, usually summarised under the notion of 'Bounded Rational...
This paper examines the use of evolutionary programming in agent-based modelling to implement the th...
If you accept that evolved agents will be only boundedly rational, what are the consequences for the...
Non-classical models of economic behaviour, usually summarised under the notion of 'Bounded Rational...
Non-classical models of economic behaviour, usually summarised under the notion of 'Bounded Rational...
This thesis investigates the problem of emulating seemingly irrational behaviour with the use of a r...
This thesis investigates the problem of emulating seemingly irrational behaviour with the use of a r...
In this paper I will present an analysis of the impact that the notion of “bounded rationality”, ...
Rationality in games and decisions is traditionally understood as requiring that agents act optimall...
We propose a framework for including information-processing bounds in rational analyses. It is an ap...
A central question in game theory, learning, and other fields is how a rational intelligent agent sh...