Autonomous Motivation in Learning Activities With Friends

Autonomous and fast robot learning through motivation

Research on robot techniques that are fast, user-friendly, and require little application-specific knowledge by the user, is more and more encouraged in a society where the demand of home-care or domestic-service robots is increasing continuously. In this context we propose a methodology which combines reinforcement learning and genetic algorithms to teach a robot how to perform a task when onl...

Curiosity and Intrinsic Motivation for Autonomous Machine Learning

On the contrary, typical machine learning systems—including those associated with recent advances in deep (reinforcement) learning—learn to solve finite sets of tasks that are predefined by the engineer, and only by access to very large databases of examples. As a consequence, such machines require a new dedicated reward/cost function to be programmed by an engineer and time to reprocess millio...

Autonomous motivation, controlled motivation, and goal progress.

Although the self-concordance of goals has been repeatedly shown to predict better goal progress, recent research suggests potential problems with aggregating autonomous and controlled motivations to form a summary index of self-concordance (Judge, Bono, Erez, & Locke, 2005). The purpose of the present investigation was to further examine the relations among autonomous motivation, controlled mo...

Old Friends , New Faces : Motivation Research in the 1990

Motivation and Attention in an Autonomous Agent

In an attempt to construct a neural network based architecture for autonomous agents, we have been investigating motivation and attention as natural parts of a cognitive system (Balkenius 1993a, b). The role of motivation was originally suggested to us by problems encountered in behaviour selection. For agents with a large set of interacting behaviours, interference between behaviours becomes a...