A paradigm for coupling procedural and conceptual knowledge in companion systems
Marvin R. G. Schiller, Gregor Behnke, Mario Schmautz, Pascal Bercher, Matthias Kraus, Michael Dorna, Wolfgang Minker, Birte Glimm, Susanne Biundo · 2017
Companion systems are technical systems that adjust their functionality to the needs and the situation of an individual user. Consequently, companion systems are strongly knowledge-based. We propose a modelling paradigm for integrating procedural and conceptual knowledge which is targeted at companion systems that require a combination of planning and reasoning capabilities. The presented methodology couples the hierarchical task network (HTN) planning formalism with an ontology-based knowledge representation, thereby minimising redundancies in modelling and enabling the use of state-of-the-art reasoning and planning tools on the shared knowledge model. The approach is applied within a prototype of a companion system that assists novice users in the do-it-yourself (DIY) domain with the planning and execution of home improvement projects involving the use of power tools.