This dissertation focuses on the collaboration of multiple heterogeneous, intelligent agents (hardware or software) which collaborate to learn a task and are capable of sharing knowledge. The concept of collaborative learning in multi-agent and multi-robot systems is largely under studied, and represents an area where further research is needed to…

This paper investigates the relationship between learning style, as determined by Kolb's Learning Style Inventory, age and one measure of academic performance in design assignments for two cohorts of first- and third-year architecture students. The paper focuses on the results of a cross-curriculum learning style survey conducted as part of a…