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