Incremental intention recognition

The Anh Han

doi:10.1007/978-3-642-37512-5_2

Incremental intention recognition

Research output: Contribution to journal › Article › peer-review

Abstract

This chapter describes a novel method for incremental intention recognition. It is performed and achieved by incrementally constructing a three layer Bayesian Network model as more actions are observed. The Bayesian Network is composed from a knowledge base of readily specified and readily maintained Bayesian Network fragments. Their simple structures allow easy maintenance by domain experts and also facilitate automatic construction from available plan corpora. Improved performance of the method on the Linux plan corpus case is exhibited.

Original language	English
Pages (from-to)	17-34
Number of pages	18
Journal	Studies in Applied Philosophy, Epistemology and Rational Ethics
Volume	9
DOIs	https://doi.org/10.1007/978-3-642-37512-5_2
Publication status	Published - 1 Jan 2013

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10.1007/978-3-642-37512-5_2

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title = "Incremental intention recognition",

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AB - This chapter describes a novel method for incremental intention recognition. It is performed and achieved by incrementally constructing a three layer Bayesian Network model as more actions are observed. The Bayesian Network is composed from a knowledge base of readily specified and readily maintained Bayesian Network fragments. Their simple structures allow easy maintenance by domain experts and also facilitate automatic construction from available plan corpora. Improved performance of the method on the Linux plan corpus case is exhibited.

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Incremental intention recognition

Abstract

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