Goal recognition in incomplete domain models

Ramon Fraga Pereira; Felipe Meneguzzi

Goal recognition in incomplete domain models

Ramon Fraga Pereira, Felipe Meneguzzi

Computing Science

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

3 Citations (Scopus)

Abstract

Recent approaches to goal recognition have progressively relaxed the assumptions about the amount and correctness of domain knowledge and available observations, yielding accurate and efficient algorithms. These approaches, however, assume completeness and correctness of the domain theory against which their algorithms match observations: this is too strong for most real-world domains. In this work, we develop a goal recognition technique capable of recognizing goals using incomplete (and possibly incorrect) domain theories.

Original language	English
Title of host publication	32nd AAAI Conference on Artificial Intelligence, AAAI 2018
Publisher	AAAI Press
Pages	8127-8128
Number of pages	2
ISBN (Electronic)	9781577358008
Publication status	Published - 2018
Event	32nd AAAI Conference on Artificial Intelligence, AAAI 2018 - New Orleans, United States Duration: 2 Feb 2018 → 7 Feb 2018

Conference

Conference	32nd AAAI Conference on Artificial Intelligence, AAAI 2018
Country/Territory	United States
City	New Orleans
Period	2/02/18 → 7/02/18

Cite this

@inproceedings{4c1758424e504b5ab1c18999ba1da969,

title = "Goal recognition in incomplete domain models",

abstract = "Recent approaches to goal recognition have progressively relaxed the assumptions about the amount and correctness of domain knowledge and available observations, yielding accurate and efficient algorithms. These approaches, however, assume completeness and correctness of the domain theory against which their algorithms match observations: this is too strong for most real-world domains. In this work, we develop a goal recognition technique capable of recognizing goals using incomplete (and possibly incorrect) domain theories.",

author = "Pereira, {Ramon Fraga} and Felipe Meneguzzi",

note = "Publisher Copyright: Copyright {\textcopyright} 2018, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.; 32nd AAAI Conference on Artificial Intelligence, AAAI 2018 ; Conference date: 02-02-2018 Through 07-02-2018",

year = "2018",

language = "English",

pages = "8127--8128",

booktitle = "32nd AAAI Conference on Artificial Intelligence, AAAI 2018",

publisher = "AAAI Press",

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TY - GEN

T1 - Goal recognition in incomplete domain models

AU - Pereira, Ramon Fraga

AU - Meneguzzi, Felipe

PY - 2018

Y1 - 2018

N2 - Recent approaches to goal recognition have progressively relaxed the assumptions about the amount and correctness of domain knowledge and available observations, yielding accurate and efficient algorithms. These approaches, however, assume completeness and correctness of the domain theory against which their algorithms match observations: this is too strong for most real-world domains. In this work, we develop a goal recognition technique capable of recognizing goals using incomplete (and possibly incorrect) domain theories.

AB - Recent approaches to goal recognition have progressively relaxed the assumptions about the amount and correctness of domain knowledge and available observations, yielding accurate and efficient algorithms. These approaches, however, assume completeness and correctness of the domain theory against which their algorithms match observations: this is too strong for most real-world domains. In this work, we develop a goal recognition technique capable of recognizing goals using incomplete (and possibly incorrect) domain theories.

UR - http://www.scopus.com/inward/record.url?scp=85060462920&partnerID=8YFLogxK

M3 - Published conference contribution

AN - SCOPUS:85060462920

SP - 8127

EP - 8128

BT - 32nd AAAI Conference on Artificial Intelligence, AAAI 2018

PB - AAAI Press

T2 - 32nd AAAI Conference on Artificial Intelligence, AAAI 2018

Y2 - 2 February 2018 through 7 February 2018

ER -

Goal recognition in incomplete domain models

Abstract

Conference

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Cite this