Prognostic normative reasoning

Authors:
Jean Oh;Felipe Meneguzzi;Katia Sycara;Timothy J. Norman
Affiliations:
Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA;School of Computer Science, Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, RS, Brazil;Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA;Department of Computing Science, University of Aberdeen, Aberdeen, UK
Venue:
Engineering Applications of Artificial Intelligence
Year:
2013

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Abstract

Human users planning for multiple objectives in complex environments are subjected to high levels of cognitive workload, which can severely impair the quality of the plans created. This paper describes a software agent that can proactively assist cognitively overloaded users by providing normative reasoning about prohibitions and obligations so that the user can focus on her primary objectives. In order to provide proactive assistance, we develop the notion of prognostic normative reasoning (PNR) that consists of the following steps: (1) recognizing the user's planned activities, (2) reasoning about norms to evaluate those predicted activities, and (3) providing necessary assistance so that the user's activities are consistent with norms. The idea of PNR integrates various AI techniques, namely, user intention recognition, normative reasoning over a user's intention, and planning, execution and replanning for assistive actions. In this paper, we describe an agent architecture for PNR and discuss practical applications.