A self-aware paradigm for autonomous architectural systems within the Internet of Things

Ahmed Elsherif, Dina Mandour, May A. Malek Ali, Mohamed Sedky
2017 International Journal of Parallel, Emergent and Distributed Systems  
This research explores a newfangled approach for the notion that architecture is no longer concerned with the organization of space and matter, but rather a system of systems with self-organizational behavior and progressively complex programmatic interventions. Such system represents an Internet of Things (IoT) paradigm that has the capacity to self-organize a pre-defined architecture acclimating dynamically to the demands of the environment through a process of self-awareness and
more » ... ility. This paper is an attempt to develop spaces that bring computation into the physical world by introducing artificial intelligence into building systems so as to communicate, exchange information, and allow right responses and decisions within a sustainable manner. Environments with embedded computational systems and adaptive reconfiguration behavior will be precisely studied. With an intensive focus on smart, self automated architecture that has embraced kinetic motion as an approach for environmental adaptation and responsiveness. This study addresses the networked organization of sensory systems that incorporate computational platforms in relation to user's desires, where architecture turns into an interactive intermediary between human and computation. Correspondingly, the authors are particularly aiming to propose a conceptual framework for delivering a smart autonomous system at the architectural scale which is capable of reconfiguring and interacting constantly in real time. Thus the IoT will foster a rapid development in intelligent systems which would directly introduce an advanced technological leap forward in accommodating a new way of demonstrating human-computer interaction within a novel architectural design approach.
doi:10.1080/17445760.2017.1390098 fatcat:g3qo3mwlgffczeorlnc5gzvtn4