Landmark-based approaches for plan recognition tasks

Ramon Fraga  Pereira; Felipe Meneguzzi

doi:10.3233/978-1-61499-672-9-1706

Landmark-based approaches for plan recognition tasks

Ramon Fraga Pereira, Felipe Meneguzzi

Computing Science

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

3 Citations (Scopus)

Abstract

As more computer systems require reasoning about what agents (both human and artificial) other than themselves are doing, the ability to accurately and efficiently recognize goals and plans from agent behavior becomes increasingly important. Plan recognition is the task of recognizing goals and plans based on often incomplete observations that include actions executed by agents and properties of
agent behavior in an environment. Accurate plan recognition is important to monitor and anticipate agent behavior, such as in crime detection and prevention, monitoring activities, and elderly care.

Original language	English
Title of host publication	ECAI 2016
Editors	Gal A. Kaminka, Frank Dignum, Eyke Hullermeier, Paolo Bouquet, Virginia Dignum, Maria Fox, Frank van Harmelen
Publisher	IOS Press
Pages	1706-1707
Number of pages	2
Volume	285
ISBN (Electronic)	9781614996712
DOIs	https://doi.org/10.3233/978-1-61499-672-9-1706
Publication status	Published - 2016
Event	22nd European Conference on Artificial Intelligence, ECAI 2016 - The Hague, Netherlands Duration: 29 Aug 2016 → 2 Sep 2016

Publication series

Name	Frontiers in Artificial Intelligence and Applications

Conference

Conference	22nd European Conference on Artificial Intelligence, ECAI 2016
Country/Territory	Netherlands
City	The Hague
Period	29/08/16 → 2/09/16

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.3233/978-1-61499-672-9-1706Licence: CC BY-NC

https://dl.acm.org/doi/pdf/10.3233/978-1-61499-672-9-1706Licence: Unspecified

Cite this

Landmark-based approaches for plan recognition tasks. / Pereira, Ramon Fraga ; Meneguzzi, Felipe.

ECAI 2016. ed. / Gal A. Kaminka; Frank Dignum; Eyke Hullermeier; Paolo Bouquet; Virginia Dignum; Maria Fox; Frank van Harmelen. Vol. 285 IOS Press, 2016. p. 1706-1707 (Frontiers in Artificial Intelligence and Applications).

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

Pereira, RF & Meneguzzi, F 2016, Landmark-based approaches for plan recognition tasks. in GA Kaminka, F Dignum, E Hullermeier, P Bouquet, V Dignum, M Fox & F van Harmelen (eds), ECAI 2016. vol. 285, Frontiers in Artificial Intelligence and Applications, IOS Press, pp. 1706-1707, 22nd European Conference on Artificial Intelligence, ECAI 2016, The Hague, Netherlands, 29/08/16. https://doi.org/10.3233/978-1-61499-672-9-1706

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T3 - Frontiers in Artificial Intelligence and Applications

SP - 1706

EP - 1707

BT - ECAI 2016

A2 - Kaminka, Gal A.

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A2 - Hullermeier, Eyke

A2 - Bouquet, Paolo

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A2 - Fox, Maria

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PB - IOS Press

T2 - 22nd European Conference on Artificial Intelligence, ECAI 2016

Y2 - 29 August 2016 through 2 September 2016

ER -

Landmark-based approaches for plan recognition tasks

Abstract

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UN SDGs

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