Publications » A Model and Platform for Building Agent-Based Pervasive Mixed Reality Systems

A Model and Platform for Building Agent-Based Pervasive Mixed Reality Systems

Angelo Croatti, Alessandro Ricci
In agent literature, a partially unexplored area is related to the integration of ever-wider opportunities offered by technologies such as Mixed Reality (MR) and Augmented Reality (AR). In this paper we present a framework called Augmented Worlds (AW), which provides a model and a technological support to develop a broad spectrum of agent-based AR/MR systems. Distinguishing key features of the approach include: bi-directional augmentation, support for existing cognitive agent technologies, support for developing open multi-user environments. In the paper, we describe first the conceptual model on which the framework is based, and then a concrete architecture and prototype implementation. Two case studies about real-world applications -- an augmented museum and an augmented harbour -- engineered with the framework are finally discussed.
Advances in Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection, pages 127--139, 2018.
Yvesand An Demazeau (eds.), Springer International Publishing, Cham
@InProceedings{10.1007/978-3-319-94580-4_10,
author="Croatti, Angelo
and Ricci, Alessandro",
editor="Demazeau, Yves
and An, Bo
and Bajo, Javier
and Fern{\'a}ndez-Caballero, Antonio",
title="A Model and Platform for Building Agent-Based Pervasive Mixed Reality Systems",
booktitle="Advances in Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection",
year="2018",
publisher="Springer International Publishing",
address="Cham",
pages="127--139",
abstract="In agent literature, a partially unexplored area is related to the integration of ever-wider opportunities offered by technologies such as Mixed Reality (MR) and Augmented Reality (AR). In this paper we present a framework called Augmented Worlds (AW), which provides a model and a technological support to develop a broad spectrum of agent-based AR/MR systems. Distinguishing key features of the approach include: bi-directional augmentation, support for existing cognitive agent technologies, support for developing open multi-user environments. In the paper, we describe first the conceptual model on which the framework is based, and then a concrete architecture and prototype implementation. Two case studies about real-world applications -- an augmented museum and an augmented harbour -- engineered with the framework are finally discussed.",
isbn="978-3-319-94580-4"
}