… a neural network so that they are more consistent with utility theory, … We demonstrate that
Neural Utility Functions can recover … item representations from a shallow Neural Utility Function. …

… (F-DNN) in which the utility of each alternative is the function of all the alternative-specific …
probability functions. Overall, the behavioral knowledge of alternative-specific utility function …

… logit model with aggregate utility function is preferred in this … resultant predictions of NNs for
utility are substituted in the logit … We had another comparison by calibrating the utility function …

… point for applying models for neural acceleration to graph-… neural networks, and graph
neural networks. We demonstrate these techniques on the problem related to the utility functions …

… method determining a subject’s utility function is not available. We investigated two … utility
functions by using response-locked event-related potentials in order to assess their neural …

… The local linearity property of the utility function that we derive from our second and stronger
notion of local linearity is that the utility function is locally exactly linear almost everywhere. …

… By so doing, we address the function of the underlying neural circuitry and the question of …
on a neural system that determines goal selection by signaling the utility of competing goals. …

… are the core of a utility function that constrains neural computation. For advanced social …
Neural signaling evolved to serve all these functions, but the range of basic mechanisms …

… of this paper: the neural architecture may indeed compute … we had assumed a linear utility
function and were able to thus … incorporating a more realistic utility function and adding to that …

… the expected utility criterion. On the one hand, if individuals possess a utility function stemming
from … Embedding such a utility function in a simple rule of thumb involving no beliefs about …