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Ambient intelligent environments and environmental decisions via agent-based systems

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Abstract

This work introduces an alternative approach to designing ambient intelligent environments by using a multi-agent system consisting of agents that represent inhabitants (humans, animals, plants, and objects) of the environment and physical devices (sensors and actuators) that control and monitor the environment. Inhabitants are able to compromise their own needs for the betterment of the environment as a whole. This synergy creates a balance where each inhabitant potentially receives sub-optimal environmental conditions but the environment as a whole achieves a optimal level. This work addresses several issues involving multiple parameter optimization and constraint satisfaction while maintaining the well being and physical structure of the inhabitants of an environment as well as the comfort of multiple human inhabitants sharing the same environment and its resources.

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  1. University of Calgary, 2500 University Drive N.W., Calgary, AB, Canada

    Gabriel Becerra & Rob Kremer

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  1. Gabriel Becerra
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  2. Rob Kremer
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Correspondence to Gabriel Becerra.

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Becerra, G., Kremer, R. Ambient intelligent environments and environmental decisions via agent-based systems. J Ambient Intell Human Comput 2, 185–200 (2011). https://doi.org/10.1007/s12652-011-0056-0

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