In this paper, we propose two improvements to modeling other agents based on Observed
Situation-Action Pairs and the Nearest Neighbor Rule–reevaluative stereoty** with …

A major challenge in the field of Multi-Agent Systems is to enable autonomous agents to
allocate tasks efficiently. This paper extends previous work on an approach to the collective …

Una de las áreas que más auge ha tenido en los últimos anos dentro del aprendizaje
automático es aquélla en donde se combinan las decisiones de clasificadores individuales …

This paper presents a model for an agent to reason about interaction with multiple users in a
collaborative environment. Central to this model is the concept of an interaction strategy …

A major challenge in the field of multi-agent systems is to enable autonomous agents to
allocate tasks efficiently. This paper extends previous work on an approach to the collective …

In a collaborative environment, knowledge about collaborators' skills is an important factor
when determining which team members should perform a task. However, this knowledge …

In hierarchical organisations, a preferred outcome is to promote a more productive worker to
a more influential status. However, productivity is rarely directly measurable, so an individual …

Una de las áreas que mas auge ha tenido en los últimos años dentro del aprendizaje
automático es aquella en donde se combinan las decisiones de clasificadores individuales …

We present our bayesian-modeler agent which uses a probabilistic approach for agent
modeling. It learns models about the others using a bayesian mechanism and then it plays …

Because of the importance of negotiation in business process and with the development of
electronic commerce, there have emerged many negotiation support systems that support …