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Intention-based Decision Making via Intention Recognition and its Applications
2013
HanPer-DM+IR
In this chapter we present an intention-based decision making system. We exhibit a coherent combination of two Logic Programming based implemented systems, Evolution Prospection and Intention Recognition. The Evolution Prospection system has proven to be a powerful system for decision making, designing and implementing several kinds of preferences and useful environment-triggering constructs. It is here enhanced with an ability to recognize intentions of other agents—an important aspect not well explored so far. The usage and usefulness of the combined system are illustrated with several extended examples in different application domains, including Moral Reasoning, Ambient Intelligence, Elder Care, and Game Theory.
Book chapter
Han The Anh, Luís Moniz Pereira
Hans W. Guesgen, Stephen Marsland
Human Behavior Recognition Technologies: Intelligent Applications for Monitoring and Security
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IGI Global
http://www.igi-global.com/
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174-211
978-1-4666-3682-8
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http://www.igi-global.com/book/human-behavior-recognition-technologies/72160
http://centria.di.fct.unl.pt/~lmp/publications/online-papers/behavior_recognition.pdf
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Han The Anh and Luís Moniz Pereira, Intention-based Decision Making via Intention Recognition and its Applications, in: Hans W. Guesgen and Stephen Marsland (eds), Human Behavior Recognition Technologies: Intelligent Applications for Monitoring and Security, IGI Global, http://www.igi-global.com/, ISBN 978-1-4666-3682-8, Pag. 174-211, (http://centria.di.fct.unl.pt/~lmp/publications/online-papers/behavior_recognition.pdf), http://www.igi-global.com/book/human-behavior-recognition-technologies/72160, 2013.
<a href="/people/members/view.php?code=cdc7090d1f84f56c0671baa36e87bd77" class="author">Han The Anh</a> and <a href="/people/members/view.php?code=6175f826202ff877fba2ad77784cb9cb" class="author">Luís Moniz Pereira</a>, <b>Intention-based Decision Making via Intention Recognition and its Applications</b>, in: Hans W. Guesgen and Stephen Marsland (eds), <u>Human Behavior Recognition Technologies: Intelligent Applications for Monitoring and Security</u>, IGI Global, http://www.igi-global.com/, ISBN 978-1-4666-3682-8, Pag. 174-211, (<a href="http://centria.di.fct.unl.pt/~lmp/publications/online-papers/behavior_recognition.pdf" target="_blank">url</a>), <i>http://www.igi-global.com/book/human-behavior-recognition-technologies/72160</i>, 2013.
@incollection {HanPer-DM+IR, author = {Han The Anh and Lu\'{\i}s Moniz Pereira}, editor = {Hans W. Guesgen and Stephen Marsland}, title = {Intention-based Decision Making via Intention Recognition and its Applications}, booktitle = {Human Behavior Recognition Technologies: Intelligent Applications for Monitoring and Security}, publisher = {IGI Global}, address = {http://www.igi-global.com/}, pages = {174-211}, isbn = {978-1-4666-3682-8}, note = {http://www.igi-global.com/book/human-behavior-recognition-technologies/72160}, url = {http://centria.di.fct.unl.pt/~lmp/publications/online-papers/behavior_recognition.pdf}, abstract = {In this chapter we present an intention-based decision making system. We exhibit a coherent combination of two Logic Programming based implemented systems, Evolution Prospection and Intention Recognition. The Evolution Prospection system has proven to be a powerful system for decision making, designing and implementing several kinds of preferences and useful environment-triggering constructs. It is here enhanced with an ability to recognize intentions of other agents—an important aspect not well explored so far. The usage and usefulness of the combined system are illustrated with several extended examples in different application domains, including Moral Reasoning, Ambient Intelligence, Elder Care, and Game Theory.}, keywords = {Moral Reasoning, Ambient Intelligence, Elder Care, and Game Theory}, year = {2013}, }
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