@inproceedings{b53ba9ccab434aaa9e280b6b851b0ae9,
title = "Plan Recognition Design",
abstract = "Goal Recognition Design (GRD) is the problem of designing a domain in a way that will allow easy identification of agents{\textquoteright} goals. This work extends the original GRD problem to the Plan Recognition Design (PRD) problem which is the task of designing a domain using plan libraries in order to facilitate fast identification of an agent{\textquoteright}s plan. While GRD can help to explain faster which goal the agent is trying to achieve, PRD can help in faster understanding of how the agent is going to achieve its goal. we define a new measure that quantifies the worst-case distinctiveness of a given planning domain, propose a method to reduce it in a given domain and show the reduction of this new measure in three domains from the literature.",
author = "Reuth Mirsky and Roni Stern and Meir Kalech and Yakov Gal",
year = "2017",
month = mar,
day = "21",
language = "English",
publisher = "AAAI Press",
pages = "4971--4972",
booktitle = "Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence",
note = "Thirty-First AAAI Conference on Artificial Intelligence, AAAI 2017 ; Conference date: 04-02-2017 Through 09-02-2017",
}