Creating Planning Domain Models in KEWI

Abstract This paper reports on progress towards a tool for the representation of shared, procedural and declarative knowledge whose aim is to be used for various functions to do with the automation of a complex process control application -primarily to guide the response phase during an emergency situation, but also for supporting normal automated operation. The tool is a Knowledge Engineering Web Interface called KEWI. The focus of the paper is on the conceptual model used to represent the declarative and procedural knowledge. The model consists of three layers: an ontology, a model of basic actions, and more complex methods. It is this structured conceptual model that facilitates knowledge engineering. We are aiming to evaluate the use of a central knowledge model for a range of planning-related functions, where the parts of the model are automatically assembled e.g. into PDDL for operational use. The current application area that drives the development of the tool is well control

Semantic Based Support for Planning Information Delivery in Human-agent Collaborative Teams

Collaborative teams are organizations where joint members work together to solve mutual goals. Mixed-initiative planning systems are useful tools in such situations, because they can support several common activities performed in these organizations. However, as collaborative members are involved in different decision making planning levels, they consequently require different information types and forms of receiving planning information. Unfortunately, collaborative planning delivery is a subject that has not been given much attention by researchers, so that users cannot make the most of such systems since they do not have appropriate support for interaction with them. This work presents a general framework for planning information delivery, which is divided into two main parts: a knowledge representation aspect based on an ontological set and a reasoning mechanism for multimodality visualization. This framework is built on a mixed-initiative planning basis, which considers the additional requirements that the human presence brings to the development of collaborative support systems