Agents that reduce work and information overload
Communications of the ACM
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Formal description and evaluation of user-adapted interfaces
International Journal of Human-Computer Studies
The UMASS intelligent home project
Proceedings of the third annual conference on Autonomous Agents
Automated generation of agent behaviour from formal models of interaction
AVI '00 Proceedings of the working conference on Advanced visual interfaces
User Modeling for Personalized City Tours
Artificial Intelligence Review
Personalized Control of Smart Environments
UM '07 Proceedings of the 11th international conference on User Modeling
Agent based smart house platform with affective control
Proceedings of the 2009 Euro American Conference on Telematics and Information Systems: New Opportunities to increase Digital Citizenship
Multi-Agent System Theory for Modelling a Home Automation System
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence
An Architecture for Flexible Entity Configuration in a Simulation Environment
Edutainment '09 Proceedings of the 4th International Conference on E-Learning and Games: Learning by Playing. Game-based Education System Design and Development
Agent-based conference management: a case study in SODA
International Journal of Agent-Oriented Software Engineering
A butler agent for personalized house control
ISMIS'06 Proceedings of the 16th international conference on Foundations of Intelligent Systems
Widget-Based simulator for testing smart space
Transactions on Edutainment III
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In this paper, we propose an approach to the simulation of control of an intelligent home aiming at understanding which is the impact of embedded and pervasive technology on people daily life. In this vision, the house is seen as an intelligent environment made up of independent and distributed devices interacting to support user's goals and tasks. Achieving this aim requires giving, to these intelligent artifacts, an appropriate level of autonomy, distribution, adaptation, proactiveness, etc. Therefore, in some way, they share the same characteristics as agents. C@sa is a multiagent system aiming at modeling, controlling and simulating house behavior according to user and context features.