Activity recognition has attracted increasing attention as a number of related research areas
such as pervasive computing, intelligent environments and robotics converge on this critical …

Background Computational state space models (CSSMs) enable the knowledge-based
construction of Bayesian filters for recognizing intentions and reconstructing activities of …

Research on progressive dementia increased significantly in the past years due to the
urgency of the aging population. Patients suffering from such dementia, for instance …

As computers are becoming more and more a part of our everyday life, the vision of Mark
Weiser about ubiquitous computing becomes true. One of the core tasks of such devices is …

The mechanisms of emergence and evolution of collective behaviours in dynamical Multi-
Agent Systems (MAS) of multiple interacting agents, with diverse behavioral strategies in co …

Intention recognition is the process of becoming aware of the intentions of other agents,
inferring them through observed actions or effects on the environment. Intention recognition …

In this chapter we discuss intention recognition in general, and the use of logic-based
formalisms, and deduction and abduction in particular. We consider the relationship …

Wellbeing is often affected by health-related conditions. Among them are nutrition-related
health conditions, which can significantly decrease the quality of life. We envision a system …

Providing cognitive assistance to Alzheimer's patients in smart homes is a field of research
that receives a lot of attention lately. The recognition of the patient's behavior when he …

In order to maintain and improve the quality of life in the homes of people with dementia, we
must elaborate assistive technologies that will alleviate the effects of cognitive decline, such …