The aim of this article is to help a teacher to evaluate his courses by following the students during the learning phase. We asume that the teacher doesn't use an educational...
In this paper we present the Behaviosite paradigm, a new approach to affecting the behavior of distributed agents in a multiagent system, which is inspired by biological parasites ...
Amit Shabtay, Zinovi Rabinovich, Jeffrey S. Rosens...
— Mobile agents are considered a suitable technology to develop applications for wireless environments with limited communication capabilities. Thus, they offer interesting advan...
In our research we study rational agents which learn how to choose the best conditional, partial plan in any situation. The agent uses an incomplete symbolic inference engine, emp...
Autonomous agents that learn about their environment can be divided into two broad classes. One class of existing learners, reinforcement learners, typically employ weak learning ...