An overview of workflow management: from process modeling to workflow automation infrastructure
Distributed and Parallel Databases - Special issue on software support for work flow management
Some computer science issues in ubiquitous computing
ACM SIGMOBILE Mobile Computing and Communications Review - Special issue dedicated to Mark Weiser
The invisible future
Distributed and Parallel Databases
Using Case-Based Reasoning to Focus Model-Based Diagnostic Problem Solving
EWCBR '93 Selected papers from the First European Workshop on Topics in Case-Based Reasoning
Modeling and Enactment of Workflow Systems
Proceedings of the 14th International Conference on Application and Theory of Petri Nets
Attack Plan Recognition and Prediction Using Causal Networks
ACSAC '04 Proceedings of the 20th Annual Computer Security Applications Conference
Human-centered computing: a multimedia perspective
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Workflow Simulation for Operational Decision Support Using Design, Historic and State Information
BPM '08 Proceedings of the 6th International Conference on Business Process Management
Location-based activity recognition using relational Markov networks
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Agent-based Cloud service composition
Applied Intelligence
Agent based sensors resource allocation in sensor grid
Applied Intelligence
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To support human functioning, ambient intelligent agents require knowledge about the tasks executed by the human. This knowledge includes design-time information like: (i) the goal of a task and (ii) the alternative ways for a human to achieve that goal, as well as run-time information such as the choices made by a human during task execution. In order to provide effective support, the agent must know exactly what steps the human is following. However, if not all steps along the path can be observed, it is possible that the agent cannot uniquely derive which path the human is following. Furthermore, in order to provide timely support, the agent must observe, reason, conclude and support within a limited period of time. To deal with these problems, this paper presents a generic focused reasoning mechanism to enable a guided selection of the path which is most likely followed by the human. This mechanism is based upon knowledge about the human and the workflow to perform the task. In order to come to such an approach, a reasoning mechanism is adopted in combination with the introduction of a new workflow representation, which is utilized to focus the reasoning process in an appropriate manner. The approach is evaluated by means of an extensive case study.