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Mobile Intention Recognition [electronic resource] / by Peter Kiefer.

By: Contributor(s): Publisher: New York, NY : Springer New York, 2012Edition: 1Description: XVI, 168 p. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781461418542
Subject(s): Genre/Form: Additional physical formats: Printed edition:: No titleDDC classification:
  • 004.6 23
LOC classification:
  • TK5105.5-5105.9
Online resources:
Contents:
Introduction -- Mobile Intention Recognition -- Related Approaches in Plan Recognition -- Mobile Intention Recognition with Spatially Constrained Grammars -- Evaluation and Discussion -- Conclusion and Outlook.
In: Springer eBooksSummary: Mobile Intention Recognition addresses problems of practical relevance for mobile system engineers: how can we make mobile assistance systems more intelligent? How can we model and recognize patterns of human behavior which span more than a limited spatial context? This text provides an overview on plan and intention recognition, ranging from the late 1970s to very recent approaches. This overview is unique as it discusses approaches with respect to the specificities of mobile intention recognition. This book covers problems from research on mobile assistance systems using methods from artificial intelligence and natural language processing. It thus addresses an extraordinary interdisciplinary audience.
Item type: eBooks
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Introduction -- Mobile Intention Recognition -- Related Approaches in Plan Recognition -- Mobile Intention Recognition with Spatially Constrained Grammars -- Evaluation and Discussion -- Conclusion and Outlook.

Mobile Intention Recognition addresses problems of practical relevance for mobile system engineers: how can we make mobile assistance systems more intelligent? How can we model and recognize patterns of human behavior which span more than a limited spatial context? This text provides an overview on plan and intention recognition, ranging from the late 1970s to very recent approaches. This overview is unique as it discusses approaches with respect to the specificities of mobile intention recognition. This book covers problems from research on mobile assistance systems using methods from artificial intelligence and natural language processing. It thus addresses an extraordinary interdisciplinary audience.

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