How evaluation guides AI research
AI Magazine
A knowledge-intensive, integrated approach to problem solving and sustained learning
A knowledge-intensive, integrated approach to problem solving and sustained learning
A context model for knowledge-intensive case-based reasoning
International Journal of Human-Computer Studies - Special issue: using context in applications
Dynamic Memory: A Theory of Reminding and Learning in Computers and People
Dynamic Memory: A Theory of Reminding and Learning in Computers and People
A Catalyst for Mobile and Ubiquitous Computing
IEEE Pervasive Computing
Modelling the Competence of Case-Bases
EWCBR '98 Proceedings of the 4th European Workshop on Advances in Case-Based Reasoning
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
Pervasive Computing
True Visions: The Emergence of Ambient Intelligence (Frontiers Collection)
True Visions: The Emergence of Ambient Intelligence (Frontiers Collection)
Everyware: The Dawning Age of Ubiquitous Computing
Everyware: The Dawning Age of Ubiquitous Computing
Context-awareness in user modelling: requirements analysis for a case-based reasoning application
ICCBR'03 Proceedings of the 5th international conference on Case-based reasoning: Research and Development
Evaluating CBR systems using different data sources: a case study
ECCBR'06 Proceedings of the 8th European conference on Advances in Case-Based Reasoning
Contextualised ambient intelligence through case-based reasoning
ECCBR'06 Proceedings of the 8th European conference on Advances in Case-Based Reasoning
Enriching events to support hospital care
Proceedings of the 7th Middleware Doctoral Symposium
Artificial Intelligence in Medicine
Improving pervasive application behavior using other users' information
ICCBR'10 Proceedings of the 18th international conference on Case-Based Reasoning Research and Development
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Ambient intelligent systems are defined as being able to perceive their environment, being aware of the presence of people and other agents, and respond intelligently to these agents' needs. Today the hardware requirements for achieving these capabilities are met. Earlier work have argued that knowledge intensive case-based reasoning is a feasible method for ambient intelligence. In this paper that argument is supported by testing of an implementation in a hospital ward domain, which shows that despite some issues related to the current implementation the case-based reasoner performs at an acceptable level.