Anti-logic or common sense that can hinder machine’s energy performance: Energy and comfort control models based on artificial intelligence responding to abnormal indoor environments

2017 ◽  
Vol 204 ◽  
pp. 117-130 ◽  
Author(s):  
Jonghoon Ahn ◽  
Soolyeon Cho
Author(s):  
Rosa Romano

The Smart Skin Envelope research analyses the recent revolution that has taken place in the sector of planning and production of smart skin components, made up of dynamic layers. The aim is to identify the technological, functional, qualitative and performance parameters that guide the decisions of the actors in the innovation process. It explores the factors that drive them to develop solutions and proposals designed to transform the envelope of the building from a static to a dynamic element, featuring interoperable components that can interact with the input from the outdoor and indoor environments, in relation to which the smart skin acts as a system of boundary and delimitation. The proposed research programme explores in particular the sector of Smart Envelopes, setting as its priority objective the identification and definition of the energy performance, both through analysis of the state of the art and through the development of a facade component that is dynamic in terms of the adaptive variability of its performance.


Author(s):  
Subrata Dasgupta

Many ordinary problems and everyday activities are not conducive to algorithmic solutions. Yet, people do perform these tasks and solve such problems, so what other computational means are available to perform such tasks? The answer is to resort to a mode of computing that deploys heuristics—rules, precepts, principles, hypotheses based on common sense, experience, judgement, analogies, informed guesses, etc., which offer promise but are not guaranteed to solve problems. Heuristic computing encompasses both heuristic search and heuristic algorithms. ‘Heuristic computing’ explains a meta-heuristic called ‘satisficing’; the difference between exact and heuristic algorithms; how heuristics is used in artificial intelligence; weak and strong methods; and how to interpret heuristic rules.


Author(s):  
John Horty

The task of formalizing common-sense reasoning within a logical framework can be viewed as an extension of the programme of formalizing mathematical and scientific reasoning that has occupied philosophers throughout much of the twentieth century. The most significant progress in applying logical techniques to the study of common-sense reasoning has been made, however, not by philosophers, but by researchers in artificial intelligence, and the logical study of common-sense reasoning is now a recognized sub-field of that discipline. The work involved in this area is similar to what one finds in philosophical logic, but it tends to be more detailed, since the ultimate goal is to encode the information that would actually be needed to drive a reasoning agent. Still, the formal study of common-sense reasoning is not just a matter of applied logic, but has led to theoretical advances within logic itself. The most important of these is the development of a new field of ‘non-monotonic’ logic, in which the conclusions supported by a set of premises might have to be withdrawn as the premise set is supplemented with new information.


2019 ◽  
Vol 8 (2) ◽  
pp. 109-125 ◽  
Author(s):  
Clea Bourne

Public relations’ (PR) professional habitus is defined by a relentless focus on optimism and futurity. This professional habitus renders PR indispensable to the corporate world after crisis, when new, potentially controversial, growth strategies must be sold-in to stakeholders. This article argues that PR’s professional habitus is heavily influenced by neoliberalism, an ideology which ‘confidently identifies itself with the future’. The discussion is timely, as 21st-century neoliberal capitalism becomes redefined by artificial intelligence (AI). The article combines PR theory, communications theory and political economy to consider the changing shape of neoliberal capitalism, as AI becomes naturalised as ‘common sense’ and a ‘public good’. The article explores how PR supports AI discourses, including promoting AI in national competitiveness and promoting ‘friendly’ AI to consumers, while promoting Internet inequalities. The article concludes that the PR profession’s myopia regarding the implications of promoting AI and neoliberalism is shaped by poor levels of diversity in the PR profession.


2020 ◽  
Vol 24 (11) ◽  
pp. 862-872 ◽  
Author(s):  
Murray Shanahan ◽  
Matthew Crosby ◽  
Benjamin Beyret ◽  
Lucy Cheke

2020 ◽  
Author(s):  
Valdir Aliati ◽  
Hameed Metghalchi ◽  
Jon Wallace

Abstract Global warming has caused an increase for more energy efficient combustion engines. Measuring the energy performance at real time may require many sensors that increase the final cost of the energy system. This paper describes the feasibility of using deep learning Artificial Intelligence (A.I.) methods to estimate energy system performance using acoustical signals. First, an audio recorder was set up to measure the acoustic signals, while taking direct measurements of an aircraft propulsion system. Then, an energy balance equation for the aircraft was calibrated, and transformed into an algorithm that calculates the Specific Total Energy (STE) in real-time by using the direct measurements recorded. The acoustic signatures were filtered out and their statistical features were used to train and test an artificial neural network that outputs the aircraft’s energy state. This process showed that it is possible to create and train models with an R2 as high as 0.99854, while avoiding overfitting; proving that it is feasible to monitor an energy system performance by using acoustic signals.


Common-sense morality implicitly assumes that reasonably clear distinctions can be drawn between the ‘full’ moral status usually attributed to ordinary adult humans, the partial moral status attributed to non-human animals, and the absence of moral status, usually ascribed to machines and other artefacts. These assumptions were always subject to challenge; but they now come under renewed pressure because there are beings we are now able to create, and beings we may soon be able to create, which blur traditional distinctions between humans, non-human animals, and non-biological beings. Examples are human non-human chimeras, cyborgs, human brain organoids, post-humans, human minds that have been uploaded into computers and onto the internet, and artificial intelligence. It is far from clear what moral status we should attribute to any of these beings. While commonsensical views of moral status have always been questioned, the latest technological developments recast many of the questions and raise additional objections. There are a number of ways we could respond, such as revising our ordinary suppositions about the prerequisites for full moral status. We might also reject the assumption that there is a sharp distinction between full and partial moral status. The present volume provides a forum for philosophical reflection about the usual presuppositions and intuitions about moral status, especially in light of the aforementioned recent and emerging technological advances.


Sign in / Sign up

Export Citation Format

Share Document