Propositional Architecture using Induced Representation
Paper i proceeding, 2014

The paper describes a method and an approach to using sensor data, machine-learning and pattern recognition for proposing and guiding immediate modifications to the existing built environment. The proposed method; Induced Representation, consists of a few steps which we have identified as crucial for such an approach. The steps are A: data collection from the environment, B: machine cognition, learning, prediction, and, c: proposition, visualization, and embodied representations for quick implementation. In the paper we outline the factual and theoretical basis for this approach, and we present and discuss three experiments that each deal with the steps A, B and C.

Prediction

Machine Learning

Architecture

Proposition

Sensors

Cognition

Induced Representation

Embodiment

Representation.

Sensor Fusion

Författare

Stig Anton Nielsen

Chalmers, Arkitektur

Alexandru Dancu

Chalmers, Tillämpad informationsteknologi

What’s the Matter? Materiality and Materialism at the Age of Computation

297-312

Ämneskategorier

Arkitekturteknik

Interaktionsteknik

Inbäddad systemteknik

Annan samhällsbyggnadsteknik

Robotteknik och automation

Signalbehandling

Datorsystem

Styrkeområden

Informations- och kommunikationsteknik

Building Futures

Drivkrafter

Hållbar utveckling

ISBN

978-960-89320-6-7

Mer information

Skapat

2017-10-07