In this paper we describe a simple model of adaptive agents of different types, represented by Learning Classifier Systems (LCS), which make investment decisions about a risk fre...
Affect has been the subject of increasing attention in cognitive accounts of learning. Many intelligent tutoring systems now seek to adapt pedagogy to student affective and motivat...
Jennifer L. Robison, Scott W. McQuiggan, James C. ...
In multi-agent systems, agents need to share information in order to make good decisions. Who does what in order to achieve this matters a lot. The assignment of responsibility in...
Tim Harbers, Rajiv T. Maheswaran, Pedro A. Szekely
We propose a novel approach to intelligent tutoring gaming simulations designed for both educational and inquiry purposes in complex multi-actor systems such as infrastructures or...
This paper deals with modeling mental states of a rational agent, in particular states based on agent’s desires. It shows that the world the agent belongs to forces it to restri...