Logic-Based Approaches to Intention Recognition

Author:

Sadri Fariba1

Affiliation:

1. Imperial College London, UK

Abstract

In this chapter we discuss intention recognition in general, and the use of logic-based formalisms, and deduction and abduction in particular. We consider the relationship between causal theories used for planning and the knowledge representation and reasoning used for intention recognition. We look at the challenges and the issues, and we explore eight case studies.

Publisher

IGI Global

Reference58 articles.

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3. Avrahami-Zilberbrand, D., & Kaminka, G. A. (2007). Incorporating observer biases in keyhole plan recognition (efficiently!). In Proceedings of the Twenty-Second National Conference on Artificial Intelligence (AAAI-07), 2007.

4. Barger, T., Alwan, M., Kell, S., Turner, B., Wood, S., & Naidu, A. (2002) Objective remote assessment of activities of daily living: analysis of meal preparation patterns. Poster presentation, http://marc.med.virginia.edu /pdfs/ library/ ADL.pdf, 2002.

5. Bui, H. H. (2003). A general model for online probabilistic plan recognition. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI) 2003.

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