Agents that reduce work and information overload
Communications of the ACM
Knowledge engineering and management: the CommonKADS methodology
Knowledge engineering and management: the CommonKADS methodology
Reusable Components for Knowledge Modelling: Case Studies in Parametric Design Problem Solving
Reusable Components for Knowledge Modelling: Case Studies in Parametric Design Problem Solving
A decision-theoretic approach for designing proactive communication in multi-agent teamwork
Proceedings of the 2004 ACM symposium on Applied computing
Ontology Based Context Modeling and Reasoning using OWL
PERCOMW '04 Proceedings of the Second IEEE Annual Conference on Pervasive Computing and Communications Workshops
MundoCore: A light-weight infrastructure for pervasive computing
Pervasive and Mobile Computing
The Contract Net Protocol: High-Level Communication and Control in a Distributed Problem Solver
IEEE Transactions on Computers
IRS-III: A broker-based approach to semantic Web services
Web Semantics: Science, Services and Agents on the World Wide Web
Meta-case-based reasoning: self-improvement through self-understanding
Journal of Experimental & Theoretical Artificial Intelligence
μOR --- A Micro OWL DL Reasoner for Ambient Intelligent Devices
GPC '09 Proceedings of the 4th International Conference on Advances in Grid and Pervasive Computing
Like an intuitive and courteous butler: a proactive personal agent for task management
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Editorial: BeAware!-Situation awareness, the ontology-driven way
Data & Knowledge Engineering
Designing socially acceptable multimodal interaction in cooking assistants
Proceedings of the 16th international conference on Intelligent user interfaces
How much semantic data on small devices?
EKAW'10 Proceedings of the 17th international conference on Knowledge engineering and management by the masses
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The sheer complexity and number of functionalities embedded in many everyday devices already exceed the ability of most users to learn how to use them effectively. An approach to tackle this problem is to introduce 'smart' capabilities in technical products, to enable them to proactively assist and co-operate with humans and other products. In this paper we provide an overview of our approach to realizing networks of proactive and co-operating smart products, starting from the requirements imposed by real-world scenarios. In particular, we present an ontology-based approach to modeling proactive problem solving, which builds on and extends earlier work in the knowledge acquisition community on problem solving methods. We then move on to the technical design aspects of our work and illustrate the solutions, to do with semantic data management and co-operative problem solving, which are needed to realize our functional architecture for proactive problem solving in concrete networks of physical and resource-constrained devices. Finally, we evaluate our solution by showing that it satisfies the quality attributes and architectural design patterns, which are desirable in collaborative multi-agents systems.