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What Changes from Ubiquitous Computing to Internet of Things in Interaction Evaluation? Read chapter Read first chapter

2017 | OriginalPaper | Chapter

Knowledge-Based Approach to Modeling Urban Dynamics

Authors : Sonja Gievska, Petre Lameski

Published in: Distributed, Ambient and Pervasive Interactions

Publisher: Springer International Publishing

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Abstract

The model representing the complexity of the pedestrian mobility has to incorporate the nature of the modeled phenomenon by accounting the interdependence between human behavior and urban environment. Our efforts are directed towards correlating emergent behavior patterns of different types of pedestrians to contextual knowledge that will help us map realistic pedestrian behavior into agent’s decision making capabilities. We propose that agent’s beliefs, goals and decision-making strategies should be derived directly from the integrated urban knowledge. Causal probabilistic models that are based on Bayesian inference are proposed as a potential solution to some of the challenges in the pedestrian agent modeling.

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previous chapter Building a Platform Society Towards Sustainability Based on Internet-of-Things
next chapter A Service Infrastructure for Human-Centered IoT-Based Smart Built Environments
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Metadata
Title
Knowledge-Based Approach to Modeling Urban Dynamics
Authors
Sonja Gievska
Petre Lameski
Copyright Year
2017
Book
Distributed, Ambient and Pervasive Interactions

Print ISBN: 978-3-319-58696-0

Electronic ISBN: 978-3-319-58697-7

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-58697-7_18