We introduce the use of negative preferences to produce solutions that are acceptable to a group of users. Using negative preference profiling, a system determines which solution...
Dennis L. Chao, Justin Balthrop, Stephanie Forrest
Intelligent software agents (agents) adhering to the action selection paradigm have only one primary task that they need accomplish at any given time: to choose their next action....
Ryan James McCall, Stan Franklin, David Friedlande...
Abstract. The definition, assembly and manipulation of learning objects is becoming more and more popular in learning environments. But despite standardization efforts their approp...
In reinforcement learning, an agent tries to learn a policy, i.e., how to select an action in a given state of the environment, so that it maximizes the total amount of reward it ...
This paper presents a linear genetic programming approach, that solves simultaneously the region selection and feature extraction tasks, that are applicable to common image recogni...
Gustavo Olague, Eva Romero, Leonardo Trujillo, Bir...