KEWI: A Knowledge Engineering Tool for AI Planning. Mccluskey, L., Chrpa, L., & Wickler, G. In 2016.
abstract   bibtex   
Hedlamp is one project of a UK-wide initiative into research and development of Autonomous Intelligent Systems, joint funded by the UK research council and a wide range of industries including aerospace, rail, and energy generation. Hedlamp aims to tackle challenges with knowledge engineering of automated planning techniques when applied to such real applications. Normally, successful deployment of planning technology relies on groups of planning experts encoding detailed domain models and investing large amounts of time maintaining them. The demonstration will be of KEWI, a product of the Hedlamp project. KEWI is a high level, application-oriented knowledge engineering framework usable by application developers who want to experiment with the potential of AI Planning, while encoding a precise domain model of some valuable application area. In the demonstration we will run the tools of the framework which support knowledge acquisition, validation and operationality of the domain model. These implement model translation, reformulation, and learning techniques to improve the model’s quality, and that of the planning function of which it is a part. The tool has been tested on benchmark problem domains as well as on a real industrial process.
@InProceedings{icaps16-demo-5,
  author =   {Lee Mccluskey and Lukas Chrpa and Gerhard Wickler},
  title =    {KEWI: A Knowledge Engineering Tool for AI Planning},
  year =     {2016},
  abstract = {Hedlamp is one project of a UK-wide initiative into research and development of Autonomous Intelligent Systems, joint funded by the UK research council and a wide range of industries including aerospace, rail, and energy generation. Hedlamp aims to tackle challenges with knowledge engineering of automated planning techniques when applied to such real applications. Normally, successful deployment of planning technology relies on groups of planning experts encoding detailed domain models and investing large amounts of time maintaining them.
  
The demonstration will be of KEWI, a product of the Hedlamp project. KEWI is a high level, application-oriented knowledge engineering framework usable by application developers who want to experiment with the potential of AI Planning, while encoding a precise domain model of some valuable application area. In the demonstration we will run the tools of the framework which support knowledge acquisition, validation and operationality of the domain model. These implement model translation, reformulation, and learning techniques to improve the model’s quality, and that of the planning function of which it is a part. The tool has been tested on benchmark problem domains as well as on a real industrial process.}
}
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