A Middleware Infrastructure for Active Spaces
IEEE Pervasive Computing
Metarules to improve tactical Go knowledge
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Heuristic search and computer game playing III
Resource Management Based on Personal Service Aggregations in Smart Spaces
SEUS '05 Proceedings of the Third IEEE Workshop on Software Technologies for Future Embedded and Ubiquitous Systems
AMUN " Autonomic Middleware for Ubiquitous eNvironments Applied to the Smart Doorplate Project
ICAC '04 Proceedings of the First International Conference on Autonomic Computing
Interacting with the ubiquitous computer: towards embedding interaction
Proceedings of the 2005 joint conference on Smart objects and ambient intelligence: innovative context-aware services: usages and technologies
Metacognition in computation: a selected research review
Artificial Intelligence
Adapting Pervasive Environments through Machine Learning and Dynamic Personalization
ISPA '08 Proceedings of the 2008 IEEE International Symposium on Parallel and Distributed Processing with Applications
Toward autonomic pervasive computing
Proceedings of the 10th International Conference on Information Integration and Web-based Applications & Services
Self-adaptive software: Landscape and research challenges
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
HSI'09 Proceedings of the 2nd conference on Human System Interactions
USS Monitor: A Monitoring System for Collaborative Ubiquitous Computing Environment
IEEE Transactions on Consumer Electronics
UMONS: Ubiquitous monitoring system in smart space
IEEE Transactions on Consumer Electronics
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Smart spaces provide services that support users in their daily lives. This requires the smart spaces to recognize the situations and adapt to them. Identifying the situation and adjustment to it in the physical environment has attracted lots of research, but recognition and adaptation at the meta-level has not been studied much. We refer with meta-level recognition and adaptation, that is, with metacognitive functionality, to evaluating the decisions made by the smart space and to adapting the decision making to maximize user experience. The main objective of this PhD work is to equip smart spaces with metacognitive functionality and the expected main contribution is a general framework for Metacognitive Smart Spaces (MSS).