Intuitive Set Research Articles

Programming Away Human Rights and Responsibilities? \u201cThe Moral Machine Experiment\u201d and the Need for a More \u201cHumane\u201d AV Future

Dilemma situations involving the choice of which human life to save in the case of unavoidable accidents are expected to arise only rarely in the context of autonomous vehicles (AVs). Nonetheless, the scientific community has devoted significant attention to finding appropriate and (socially) acceptable automated decisions in the event that AVs or drivers of AVs were indeed to face such situations. Awad and colleagues, in their now famous paper “The Moral Machine Experiment”, used a “multilingual online ‘serious game’ for collecting large-scale data on how citizens would want AVs to solve moral dilemmas in the context of unavoidable accidents.” Awad and colleagues undoubtedly collected an impressive and philosophically useful data set of armchair intuitions. However, we argue that applying their findings to the development of “global, socially acceptable principles for machine learning” would violate basic tenets of human rights law and fundamental principles of human dignity. To make its arguments, our paper cites principles of tort law, relevant case law, provisions from the Universal Declaration of Human Rights, and rules from the German Ethics Code for Autonomous and Connected Driving.

Diagnostic Metrics for Evaluating Model Simulations of the East Asian Monsoon

AbstractThe distinctive monsoon climate over East Asia, which is affected by the vast Eurasian continent and Pacific Ocean basin and the high-altitude Tibetan Plateau, provides arguably the best testbed for evaluating the competence of Earth system climate models. Here, a set of diagnostic metrics, consisting of 14 items and 7 variables, is specifically developed. This physically intuitive set of metrics focuses on the essential features of the East Asian summer monsoon (EASM) and East Asian winter monsoon (EAWM), and includes fields that depict the climatology, the major modes of variability, and unique characteristics of the EASM. The metrics are applied to multimodel historical simulations derived from 20 models that participated in phases 3 and 5 of the Coupled Model Intercomparison Project (CMIP3 and CMIP5, respectively), along with the newly developed Nanjing University of Information Science and Technology Earth System Model, version 3. The CMIP5 models show significant improvements over the CMIP3 models in terms of the simulated East Asian monsoon circulation systems on a regional scale, major modes of EAWM variability, the monsoon domain and precipitation intensity, and teleconnection associated with the heat source over the Philippine Sea. Clear deficiencies persist from CMIP3 to CMIP5 with respect to capturing the major modes of EASM variability, as well as the relationship between the EASM and ENSO during El Niño developing and decay phases. The possible origins that affect models’ performance are also discussed. The metrics provide a tool for evaluating the performance of Earth system climate models, and facilitating the assessment of past and projected future changes of the East Asian monsoon.

AVIATOR: Morphological object reconstruction in 3D

Reconstructing 3D distributions from their 2D projections is a ubiquitous problem in various scientific fields, particularly so in observational astronomy. In this work, we present a new approach to solving this problem: a Vienna inverse-Abel-transform based object reconstruction algorithm AVIATOR. The reconstruction that it performs is based on the assumption that the distribution along the line of sight is similar to the distribution in the plane of projection, which requires a morphological analysis of the structures in the projected image. The output of the AVIATOR algorithm is an estimate of the 3D distribution in the form of a reconstruction volume that is calculated without the problematic requirements that commonly occur in other reconstruction methods such as symmetry in the plane of projection or modelling of radial profiles. We demonstrate the robustness of the technique to different geometries, density profiles, and noise by applying the AVIATOR algorithm to several model objects. In addition, the algorithm is applied to real data: We reconstruct the density and temperature distributions of two dense molecular cloud cores and find that they are in excellent agreement with profiles reported in the literature. The AVIATOR algorithm is thus capable of reconstructing 3D distributions of physical quantities consistently using an intuitive set of assumptions.

Whole volume brain extraction for multi-centre, multi-disease FLAIR MRI datasets

Automatic segmentation of the brain from magnetic resonance images (MRI) is a fundamental step in many neuroimaging processing frameworks. There are mature technologies for this task for T1- and T2-weighted MRI; however, a widely-accepted brain extraction method for Fluid-Attenuated Inversion Recovery (FLAIR) MRI has yet to be established. FLAIR MRI are becoming increasingly important for the analysis of neurodegenerative diseases and tools developed for this sequence would have clinical value. To maximize translation opportunities and for large scale research studies, algorithms for brain extraction in FLAIR MRI should generalize to multi-centre (MC) data. To this end, this work proposes a fully automated, whole volume brain extraction methodology for MC FLAIR MRI datasets. The framework is built using a novel standardization framework which reduces acquisition artifacts, standardizes the intensities of tissues and normalizes the spatial coordinates of brain tissue across MC datasets. Using the standardized datasets, an intuitive set of features based on intensity, spatial location and gradients are extracted and classified using a random forest (RF) classifier to segment the brain tissue class. A series of experiments were conducted to optimize classifier parameters, and to determine segmentation accuracy for standardized and unstandardized (original) data, as a function of scanner vendor, feature type and disease type. The models are trained, tested and validated on 156 image volumes (∼8000 image slices) from two multi-centre, multi-disease datasets, acquired with varying imaging parameters from 30 centres and three scanner vendors. The image datasets, denoted as CAIN and ADNI for vascular and dementia disease, respectively, represent a diverse collection of MC data to test the generalization capabilities of the proposed design. Results demonstrate the importance of standardization for segmentation of MC data, as models trained on standardized data yielded a drastic improvement in brain extraction accuracy compared to the original, unstandardized data (CAIN: DSC = 91% and ADNI: DSC = 86% vs. CAIN: 78% and ADNI: 65%). It was also found that models created from one scanner vendor based on unstandardized data yielded poor segmentation results in data acquired from other scanner vendors, which was improved through standardization. These results demonstrate that to create consistency in segmentations from multi-institutional datasets it is paramount that MC variability be mitigated to improve stability and to ensure generalization of machine learning algorithms for MRI.

Bioeconomic modeling of seasonal fisheries

Seasonality or periodicity–biological, environmental, or economic–are fundamental properties of most marine fisheries. We propose a generic infinite horizon discrete time fisheries management model by modifying existing models and frameworks of analysis to reflect seasonal variation or more general multiperiodicity in parameters, variables, or functional forms. Our model captures such variations via repeated cycles of multiple intervals with differing characteristics. The framework offers a simple and intuitive set up of arbitrary periodicity and seasonality in any feature, which significantly increases model realism. Further, it distances itself from continuous time modeling approaches where uniqueness and solvability of periodic models generally are difficult to assert. In our setting, the governing equations for the time-dependent value function of the management optimization problem are shown to be equivalent to a high-dimensional contraction and hence ensure uniqueness and a feasible solution algorithm. We illustrate our approach using a simple example to demonstrate that accounting for seasonality in fisheries management can improve outcomes considerably. Our framework also provides for analysis of seasonal regulatory measures. Ultimately, our approach applies to renewable resource management more generally and to many infinite-horizon, discrete time optimization problems with periodic features.

Optimism in unconscious, intuitive morality

Moral cognition, by its very nature, stems from intuitions about what is good and bad, and these intuitions influence moral assessments outside of conscious awareness. However, because humans evolved a shared set of moral intuitions, and are compelled to justify their moral assessments as good and rational (even erroneously) to others, moral virtue and moral progress are still possible.

Those were the days: learning to rank social media posts for reminiscence

Social media posts are a great source for life summaries aggregating activities, events, interactions and thoughts of the last months or years. They can be used for personal reminiscence as well as for keeping track with developments in the lives of not-so-close friends. One of the core challenges of automatically creating such summaries is to decide which posts are memorable, i.e., should be considered for retention and which ones to forget. To address this challenge, we design and conduct user evaluation studies and construct a corpus that captures human expectations towards content retention. We analyze this corpus to identify a small set of seed features that are most likely to characterize memorable posts. Next, we compile a broader set of features that are leveraged to build general and personalized machine-learning models to rank posts for retention. By applying feature selection, we identify a compact yet effective subset of these features. The models trained with the presented feature sets outperform the baseline models exploiting an intuitive set of temporal and social features.

The politics of exemplarity: Ferrara on the disclosure of new political worlds

This paper focuses on the idea of exemplarity outlined by the Italian critical theorist Alessandro Ferrara that forms part of his general case for the centrality of disclosure to emancipatory political reasoning. Ferrara argues that “at its best” political thought should have the capacity to animate the democratic imagination by disclosing new political worlds and hence new possibilities for thought and action. I argue that Ferrara’s notion of exemplarity provides important conceptual resources for a re-grounding of critical theory in the type of experientially based disclosing critique that has, post Habermas, been marginalized. Ferrara’s work is significant in two respects. First, exemplary universalism provides a much-needed alternative to the assimilative paradigms of normative reasoning that dominate contemporary political theory. Exemplary normativity suggests a mode of reasoning from concrete particularity that is more inclusive than principle-based approaches of voices which, by virtue of their marginal or disempowered status, are often absent from democratic deliberation. Second, Ferrara shows us how, contra Habermas, far from being an unstable process of meaning creation, exemplary disclosure has a systematic internal rationale that renders it open to inter-subjective validation. I contend, however, that the critical promise of the idea of exemplarity is unfulfilled because of its grounding in the speculative construct of sensus communis defined as a set of trans-cultural intuitions about human flourishing. This socially deracinated abstraction blocks an adequate understanding of the asymmetrical relations of power around which social difference is always constructed. Ultimately, Ferrara is unable to demonstrate how exemplarity does in fact disclose new political worlds and new possibilities for thought so much as confirm established liberal norms. Drawing on critical race theory, I propose a re-politicized understanding of exemplarity that locates its disclosing force in the actual dynamics of struggles against oppression rather than in a socially weightless abstraction.

Extracting Latent Moral Information from Text Narratives: Relevance, Challenges, and Solutions

ABSTRACTMoral Foundations Theory (MFT) and the Model of Intuitive Morality and Exemplars (MIME) contend that moral judgments are built on a universal set of basic moral intuitions. A large body of research has supported many of MFT’s and the MIME’s central hypotheses. Yet, an important prerequisite of this research—the ability to extract latent moral content represented in media stimuli with a reliable procedure—has not been systematically studied. In this article, we subject different extraction procedures to rigorous tests, underscore challenges by identifying a range of reliabilities, develop new reliability test and coding procedures employing computational methods, and provide solutions that maximize the reliability and validity of moral intuition extraction. In six content analytical studies, including a large crowd-based study, we demonstrate that: (1) traditional content analytical approaches lead to rather low reliabilities; (2) variation in coding reliabilities can be predicted by both text features and characteristics of the human coders; and (3) reliability is largely unaffected by the detail of coder training. We show that a coding task with simplified training and a coding technique that treats moral foundations as fast, spontaneous intuitions leads to acceptable inter-rater agreement, and potentially to more valid moral intuition extractions. While this study was motivated by issues related to MFT and MIME research, the methods and findings in this study have implications for extracting latent content from text narratives that go beyond moral information. Accordingly, we provide a tool for researchers interested in applying this new approach in their own work.

Development of a Programming Teaching-Aid Robot with Intuitive Motion Instruction Set

A robot that consists of a compact disc (CD) and an embedded microcomputer has been developed as a robotics learning tool for elementary and junior high school students. The students can program the robot to draw a variety of shapes by placing a pen in the center hole of the CD. As the movement track of the robot can be recorded, the students can preserve their devised program execution results. In addition, intuitive instructions can be used to control the robot. This allows to input the program by operating several push-button switches. The program instructions can be viewed on the robot’s 8 LEDs-display interface. This robot is a unique teaching tool, which can be used to learn the mechanism of the robot composed of sensors, actuators, and a computer, without using a personal computer.

Please mind the gappy content

Representationalist theories of experience face the problem that two sets of compelling intuitions seem to support the contrary conclusions that we should ascribe, respectively, singular contents and general contents to experience. Susanna Schellenberg has, in a series of articles, argued that we can conserve both sets of intuitions if we award a central explanatory role to the notions of gappy-contents and content-schemas in our theory of experience. I argue that there is difficulty in seeing how gappy-contents and content-schemas can fulfil the explanatory role envisioned for them by Schellenberg. The central problem is that both gappy-contents and contentschemas lack truth-conditions. Schellenberg attempts to support her view by suggesting an analogy between the role of content-schemas in our account of experience and the role of Kaplan’s notion of character in our account of demonstrative statements. However, I show that this analogy breaks down at crucial places when it is explored in detail. Hence, gappy-contents and content-schemas cannot fill the explanatory roles that the representationalist awards to fully truth-evaluable contents. Therefore, Schellenberg’s theory provides no way for the representationalist to conserve both sets of competing intuitions.

The curious case of the decapitated frog: on experiment and philosophy

ABSTRACTPhysiologists have long known that some vertebrates can survive for months without a brain. This phenomenon attracted limited attention until the nineteenth century when a series of experiments on living, decapitated frogs ignited a controversy about consciousness. Pflüger demonstrated that such creatures do not just exhibit reflexes; they also perform purposive behaviours. Suppose one thinks, along with Pflüger's ally Lewes, that purposive behaviour is a mark of consciousness. Then one must count a decapitated frog as conscious. If one rejects this mark, one can avoid saying peculiar things about decapitated animals. But as Huxley showed, this position leads quickly to epiphenomenalism. The dispute long remained stalemated because it rested on conflicting sets of intuitions that were each compatible with the growing body of experiments. What eventually resolved it is that one set of intuitions supported a research programme in physiology that came to seem more fruitful on the whole. So my case study suggests an alternative model for experimental philosophy as compared with more recent practice. Rather than using experiment to bolster our philosophical intuitions directly, we should explore how our philosophical intuitions might bolster (or block) fruitful experimental inquiry in science.

A systematic method to synthesize all dividing wall columns for n‐component separation—Part I

We present an easy‐to‐use step‐wise procedure to synthesize an initial‐dividing wall column (i‐DWC) from any given n‐component basic distillation column sequence or its thermally coupled derivative. The procedure to be used is dependent on the nature of the distillation column sequence that is to be converted into a DWC, and comprises of an intuitive set of steps that we demonstrate through examples. It is noteworthy that, even for a ternary distillation, 15 potentially useful DWCs, some of which had been missing from the literature, have now been identified. This work significantly expands the search space of useful DWCs to separate any given multicomponent mixture. © 2017 American Institute of Chemical Engineers AIChE J, 64: 649–659, 2018

A Google-Based Freeware Solution for Archaeological Field Survey and Onsite Artifact Analysis

ABSTRACTThis paper introduces a new freeware digital system, based on Google/Android platforms, designed to be a fully integrated and customizable solution to record, manage, and share archaeological survey data. The core of the system is two custom smartphone/tablet applications, through which surveyors are able to retrieve geographical coordinates and relevant attribute data from archaeological locations, but also to perform onsite analysis of artifacts, including taking accurate measurements with digital calipers directly connected to the mobile devices. The system saves all data recovered in the devices' internal memory, as well as in a cloud-based spatial database (Google Fusion Tables), where data can be automatically shared and examined using a rather intuitive set of visualization tools to instantly make maps or produce exploratory charts. Using the example of a recent field survey project for Stone Age sites in Mozambique, we provide a detailed discussion of the creation and use of all hardware and software components of our solution that will allow other researchers to reproduce the methodology and customize the system to meet the needs of their own projects.

Jesus and Augustine: The God of Terror and the Origins of European Doubt

This article explores a central current of religious doubt in the West, from Sebastian Castellio in the sixteenth century to Ludwig Feuerbach in the nineteenth. It argues that theologies of arbitrary judgment — chiefly Augustinian — have served as a major stimulus to scepticism and doubt in the modern era. The claim is that philosophical suspicion that the God of orthodoxy is an invention rests on a set of ethical intuitions, mostly Christian, leading to the apparent paradox that many of the fiercest critics of Christianity have listed Jesus Christ among their intellectual sources. Such an alignment, it is argued, cannot be regarded as purely tactical, even in Enlightenment figures such as Baruch Spinoza and Voltaire. If, as can be shown, religious reasoning was so central to the psychology of radical criticism and doubt, it may be time to drop the terminology of “secularisation” altogether.

Observational Research Using Propensity Scores.

In most observational studies, treatments or other "exposures" (in an epidemiologic sense) do not occur at random. Instead, treatments or other such interventions depend on several patient-related and patient-independent characteristics. Such factors, associated with the receipt vs nonreceipt of treatment, may also be-independently-associated with outcomes. Thus, confounding exists making it difficult to ascertain the true association between treatments and outcomes. Propensity scores (PS) represent an intuitive set of approaches to reduce the influence of such "confounding" factors. PS is a computed probability of treatment, a value that is estimated for each patient in an observational study and then applied (in a variety of ways such as matching, stratification, weighting, etc.) to reduce distortion in the true nature of the association between treatment (or any similar exposure) and outcomes. Despite several advantages, PS-based methods cannot account for unmeasured confounding, ie, for factors that are not being included in the computation of PS.

Domains and ferroelectric switching pathways inCa3Ti2O7from first principles

Hybrid improper ferroelectricity, where an electrical polarization can be induced via a trilinear coupling to two non-polar structural distortions of different symmetry, has recently been experimentally demonstrated for the first time in the $n$=2 Ruddlesden-Popper compound Ca$_3$Ti$_2$O$_7$. In this paper we use group theoretic methods and first-principles calculations to identify possible ferroelectric switching pathways in Ca$_3$Ti$_2$O$_7$. We identify low-energy paths that reverse the polarization direction by switching via an orthorhombic twin domain, or via an antipolar structure. We also introduce a chemically intuitive set of local order parameters to give insight into how these paths are relevant to switching nucleated at domain walls. Our findings suggest that switching may proceed via more than one mechanism in this material.

O CAMINHO E AS SUAS ETAPAS: AS QUATRO NOBRES VERDADES (CATVARYĀRYASATYAṆI), O NOBRE ÓCTUPLO CAMINHO (ĀRYĀṢṬĀṆGIKAMARGA) E OS ESTÁGIOS DOS BUSCADORES

RESUMO Este artigo objetiva ser uma breve introdução à práxis soteriológica budista, enfatizando, num primeiro momento, as quatro nobres verdades (catvaryāryasatyaṇi), aquele conjunto de intuições fundamentais formuladas pelo Buda desde o seu primeiro sermão; depois se descreve o nobre óctuplo caminho (āryāṣṭāṇgikamarga), o conjunto de práticas ensinadas pelo Buda para a consecução da experiência do despertar; finalmente, descrevem-se os estágios do caminho tanto no ambiente theravādin quanto na tradição mahāyāna.

Interactive design of 3D-printable robotic creatures

We present an interactive design system that allows casual users to quickly create 3D-printable robotic creatures. Our approach automates the tedious parts of the design process while providing ample room for customization of morphology, proportions, gait and motion style. The technical core of our framework is an efficient optimization-based solution that generates stable motions for legged robots of arbitrary designs. An intuitive set of editing tools allows the user to interactively explore the space of feasible designs and to study the relationship between morphological features and the resulting motions. Fabrication blueprints are generated automatically such that the robot designs can be manufactured using 3D-printing and off-the-shelf servo motors. We demonstrate the effectiveness of our solution by designing six robotic creatures with a variety of morphological features: two, four or five legs, point or area feet, actuated spines and different proportions. We validate the feasibility of the designs generated with our system through physics simulations and physically-fabricated prototypes.

Chimira: analysis of small RNA sequencing data and microRNA modifications.

Summary: Chimira is a web-based system for microRNA (miRNA) analysis from small RNA-Seq data. Sequences are automatically cleaned, trimmed, size selected and mapped directly to miRNA hairpin sequences. This generates count-based miRNA expression data for subsequent statistical analysis. Moreover, it is capable of identifying epi-transcriptomic modifications in the input sequences. Supported modification types include multiple types of 3′-modifications (e.g. uridylation, adenylation), 5′-modifications and also internal modifications or variation (ADAR editing or single nucleotide polymorphisms). Besides cleaning and mapping of input sequences to miRNAs, Chimira provides a simple and intuitive set of tools for the analysis and interpretation of the results (see also Supplementary Material). These allow the visual study of the differential expression between two specific samples or sets of samples, the identification of the most highly expressed miRNAs within sample pairs (or sets of samples) and also the projection of the modification profile for specific miRNAs across all samples. Other tools have already been published in the past for various types of small RNA-Seq analysis, such as UEA workbench, seqBuster, MAGI, OASIS and CAP-miRSeq, CPSS for modifications identification. A comprehensive comparison of Chimira with each of these tools is provided in the Supplementary Material. Chimira outperforms all of these tools in total execution speed and aims to facilitate simple, fast and reliable analysis of small RNA-Seq data allowing also, for the first time, identification of global microRNA modification profiles in a simple intuitive interface.Availability and implementation: Chimira has been developed as a web application and it is accessible here: http://www.ebi.ac.uk/research/enright/software/chimira.Contact: aje@ebi.ac.ukSupplementary information: Supplementary data are available at Bioinformatics online.