AAAI Publications, Workshops at the Twenty-Fifth AAAI Conference on Artificial Intelligence

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Representing Context Using the Context for Human and Automation Teams Model
Gabriel Ganberg, Jeanine Ayers, Nathan Schurr, Michael Therrien, Jeff Rousseau

Last modified: 2011-08-24

Abstract


The goal of representing context in a mixed initiative sys-tem is to model the information at a level of abstraction that is actionable for both the human and automated system. A potential solution to this problem is the Context for Human and Automation Teams (CHAT). This paper introduces the CHAT model and provides example implementations from several different applications such as task scheduling tech-niques, multi-agent systems, and human-robot interaction.

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