Utility maximization is a key element of a number of theoretical approaches to explaining human behavior. Among these approaches are rational analysis, ideal observer theory, and signal detection theory. While some examples of these approaches define the utility maximization problem with little reference to the bounds imposed by the organism, others start with, and emphasize approaches in which bounds imposed by the information processing architecture are considered as an explicit part of the utility maximization problem. These latter approaches are the topic of this issue of the journal.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/106824/1/tops12089.pd
A perfectly rational decision-maker chooses the best action with the highest utility gain from a set...
Sensory information encoded by humans and other organisms is generally presumed to be as accurate as...
The paper shows that bounded rationality, in the form of limited knowledge of utility, is an explana...
Utility maximization is a key element of a number of theoretical approaches to explaining human beha...
We propose a framework for including information‐processing bounds in rational analyses. It is an ap...
This thesis is concerned with explaining human control and decision making behaviours in an integrat...
University of Minnesota Ph.D. dissertation. October 2019. Major: Psychology. Advisors: Paul Schrater...
Abstraction and hierarchical information-processing are hallmarks of human and animal intelligence u...
The allocation of behavior among competing activities and goal objects depends on the payoffs they p...
Expected utility models are often used as a normative baseline for human performance in motor tasks....
The ability to form abstractions and to generalize well from few samples are hallmarks of human and ...
Given free information and unlimited processing power, should decision algorithms use as much inform...
Rationality is frequently associated with making the best possible decisions. It's widely acknowledg...
ABSTRACT: Human utility embodies a number of seemingly ir-rational aspects. The leading example in t...
Bounded rationality concerns the study of decision makers with limited information processing resour...
A perfectly rational decision-maker chooses the best action with the highest utility gain from a set...
Sensory information encoded by humans and other organisms is generally presumed to be as accurate as...
The paper shows that bounded rationality, in the form of limited knowledge of utility, is an explana...
Utility maximization is a key element of a number of theoretical approaches to explaining human beha...
We propose a framework for including information‐processing bounds in rational analyses. It is an ap...
This thesis is concerned with explaining human control and decision making behaviours in an integrat...
University of Minnesota Ph.D. dissertation. October 2019. Major: Psychology. Advisors: Paul Schrater...
Abstraction and hierarchical information-processing are hallmarks of human and animal intelligence u...
The allocation of behavior among competing activities and goal objects depends on the payoffs they p...
Expected utility models are often used as a normative baseline for human performance in motor tasks....
The ability to form abstractions and to generalize well from few samples are hallmarks of human and ...
Given free information and unlimited processing power, should decision algorithms use as much inform...
Rationality is frequently associated with making the best possible decisions. It's widely acknowledg...
ABSTRACT: Human utility embodies a number of seemingly ir-rational aspects. The leading example in t...
Bounded rationality concerns the study of decision makers with limited information processing resour...
A perfectly rational decision-maker chooses the best action with the highest utility gain from a set...
Sensory information encoded by humans and other organisms is generally presumed to be as accurate as...
The paper shows that bounded rationality, in the form of limited knowledge of utility, is an explana...