An agent is an autonomous computer system situated in an environment to fulfill a design
objective. Multi-Agent Systems aim to solve problems in a flexible and robust way by …

Good modeling practices are essential for producing reliable and reproducible ecological
models. Inherent to good modeling practices are fundamental coding and documentation …

In the context of an Intelligent Agents course, we have chosen NetLogo as the means to
satisfy the students' demand for hands-on practice, to help them understand at a deeper …

While many" alien" plant and animal species are purposefully introduced into new areas as
ornamentals, livestock, crops, and even pets, these species can escape into other areas and …

Inspired by the theory of practical reasoning, Belief-Desire-Intention (BDI) agents are
perhaps the most well-known type and architecture of cognitive agents. Such agents can …

Targeted drug delivery with the use of nanorobots, a yet mostly theoretical but very
promising future concept, is anticipated to become a significant ally in cancer treatment. The …

Agent-Based Modeling is a technique oriented to representing, modelling and explaining
complex systems in a variety of domains. Cognitive agents comprise a computational tool …

Recently research on human wayfinding has focused mainly on mental representations
rather than processes of wayfinding. The objective of this paper is to demonstrate the …

Nowadays, gamification, or the use of game elements in serious activities, is applied to
enhance engagement and to improve user's outcomes. On another note, the teaching of …

Traditional theory classroom dynamics suffer from student feedback and interaction.
Unfortunately, attendance rates also represent a common problem. In order to mitigate these …