AmILP 2016 - 1st International Workshop on Ambient Intelligence for Large Premises (AmILP 2016)

In the name of the MOSI-AGIL (Social Modelling of Ambient Intelligence for Large Premises) project (http://www.gsi.dit.upm.es/mosi/), we would like to cordially invite you to consider contributing an original research paper to AmILP 2016, held as part of the European Conference on Artificial Intelligence (ECAI 2016).
Ambient Intelligence (AmI) is intended to provide users with systems tightly integrated with their everyday environment and activities. The goal is minimizing the need of explicit actions by users, through the continuous and distributed orchestration of information and actuation devices. With the advances in the field, AmI is pursuing growingly ambitious goals in terms of the size and integration of its smart spaces, the number of served users, and the level of adaptation to them.
AmILP 2016 will be focused on the particular challenges and potential solutions that appear when AmI moves to Large Premises (LP). In this context, new requirements consider big groups of people moving in premises that fall beyond the classical closed and controlled environments of most AmI systems. The ways of interaction, the expected services, and the behaviour of people acquire a new dimension and variability in those interconnected smart spaces. AmI systems need to adapt to the crowds using large numbers of multiple and heterogeneous AmI resources in distributed and frequently uncontrollable environments that cause unexpected dynamic changes in the system topology.
The AmILP 2016 will be a one-day event and will be held the first day of the ECAI conference (August 29-September 2, 2016).
TOPICS
AmILP 2016 aims at providing a forum for discussing recent advances in engineering complex AmI systems acting in large premises. The research emerging in this domain faces to multidisciplinary issues, both technical and social. In particular, the areas of interest are the following (although this list should not be considered as exclusive):
Psychology of crowds
Sociology of crowds
Crowd simulation
Crowd coordination
Environment specifications and models
Inclusive design
Sensor networks
Information fusion
Machine learning
Agent-based simulation techniques and methodologies
AmI engineering driven by formal models
AmI toolkits and frameworks
AmI testing in large premises
Industrial case studies
Scalability in AmI for large premises