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

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 re-configurability.
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 reconfiguring 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 three conceptual
frameworks for delivering a smart system at the architectural scale which is
capable of reconfiguring and interacting constantly in real time, precisely
focusing on an initial implementation for the first framework utilizing an
experimental customized prototype, while the other two frameworks would be
posteriorly studied through future work.
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.