Science's immunity to moral refutation

Our moral convictions cannot, on the face of it, count in evidence against scientific claims with which they happen to conflict. Moral anti-realists of whatever stripe can explain this easily: science is immune to moral refutation because moral discourse is defective as a trustworthy source of true and objective judgments. Moral realists, they can add, are unable to explain this immunity. After describing how anti-realists might implement this reasoning, the paper argues that the only plausible realist comeback turns on the practical nature of moral reasoning. This comeback, however, places significant constraints on the structure of evidence for moral judgments. These constraints cannot be met by coherentist defenders of reflective-equilibrium methodology or by anyone sympathetic to bottom-up, case-driven foundationalism, including those who claim we have perceptual or perception-like access to moral truths. Unfortunately for realists in these categories, alternative realism-friendly accounts of science’s apparent moral immunity are unpromising. These neither explain nor explain away our unwillingness to infer an is from an ought, as Hume might have put it. Science’s apparent immunity to moral refutation therefore poses a serious problem for any realist unhappy with top-down, theory-driven conceptions of the structure of moral evidence

In Search for the Rationality of Moods

What it is about mood, as a specific type of affect, that makes it not easily amenable to standard models of rationality? It is commonly assumed that the cognitive rationality of an affective state is somehow depended upon how that state is related to what the state is about, its so called intentional object; but, given that moods do not seem to bear an intentional relation to an object, it is hard to see how they can be in the offing for rational assessment. In the first part of the paper I outline three ways of attributing intentionality to moods, raising for each one of them a series of problems, thus casting doubt on the viability of an intentionalist grounding for the rationality of moods. I then move to an examination of the view of moods as background feelings, which are intimately related to how we perceive the world; however, in my view, that approach fails to provide standards of assessment that would permit appraising the mood itself as rational or irrational. Finally, I look at an account of moods as mechanisms whose function is to monitor the balance between environmental demands and one’s physical or psychological resources. That is a promising way to proceed in our exploration of mood states; it faces though some formidable phenomenological challenges. All in all, defending the rationality of moods calls for a rethinking of the assumptions that are prevalent in the current literature over the representational dimension of affective states

Representationalism and the Intentionality of Moods

It seems hard to comprehend how, during mood experience, the ‘inner’ meets the ‘outer’. The objective of this paper is to show that a currently popular attempt at providing a neat solution to that problem fails. The attempt comes under the heading of representationalism, according to which the phenomenal aspects of mood are exhausted by its representational content. I examine three accounts of intentionality developed within the representationalist camp, and I show that they incur phenomenological and metaphysical costs. © 2017, Springer Science+Business Media Dordrecht

The authority of pleasure

The aim of the paper is to reassess the prospects of a widely neglected affective conception of the aesthetic evaluation and appreciation of art. On the proposed picture, the aesthetic evaluation and appreciation of art are non-contingently constituted by a particular kind of pleasure. Artworks that are valuable qua artworks merit, deserve, and call for a certain pleasure, the same pleasure that reveals (or at least purports to reveal) them to be valuable in the way that they are, and constitutes their aesthetic evaluation and appreciation. This is why and how art is non-contingently related to pleasure. Call this, the Affective View. While I don’t advance conclusive arguments for the Affective View in this paper, I aim to reassess its prospects by (1) undermining central objections against it, (2) dissociating it from hedonism about the value of artworks (the view that this value is grounded in, and explained by, its possessors’ power to please), and (3) introducing some observations on the practice of art in support of it. Given that the objections I discuss miss their target, and given the observations in support of it, I conclude that the Affective View is worth serious reconsideration

Passive fear

“Passive fear” denotes a certain type of response to a perceived threat; what is distinctive about the state of passive fear is that its behavioral outlook appears to qualify the emotional experience. I distinguish between two cases of passive fear: one is that of freezing in fear; the other is that of fear-involved tonic immobility. I reconstruct the explanatory strategy that is commonly employed in the field of emotion science, and argue that it leaves certain questions about the nature of passive fear unanswered. I subsequently propose an account of passive fear that builds upon a phenomenological theory of emotions, placing emphasis on the interpretation of current research into human tonic immobility. © 2014, Springer Science+Business Media Dordrecht

Semantic web enabled software analysis

One of the most important decisions researchers face when analyzing software systems is the choice of a proper data analysis/exchange format. In this paper, we present EvoOnt, a set of software ontologies and data exchange formats based on OWL. EvoOnt models software design, release history information, and bug-tracking meta-data. Since OWL describes the semantics of the data, EvoOnt (1) is easily extendible, (2) can be processed with many existing tools, and (3) allows to derive assertions through its inherent Description Logic reasoning capabilities. The contribution of this paper is that it introduces a novel software evolution ontology that vastly simplifies typical software evolution analysis tasks. In detail, we show the usefulness of EvoOnt by repeating selected software evolution and analysis experiments from the 2004-2007 Mining Software Repositories Workshops (MSR). We demonstrate that if the data used for analysis were available in EvoOnt then the analyses in 75% of the papers at MSR could be reduced to one or at most two simple queries within off-the-shelf SPARQL tools. In addition, we present how the inherent capabilities of the Semantic Web have the potential of enabling new tasks that have not yet been addressed by software evolution researchers, e.g., due to the complexities of the data integration

Tracking concept drift of software projects using defect prediction quality

Defect prediction is an important task in the mining of software repositories, but the quality of predictions varies strongly within and across software projects. In this paper we investigate the reasons why the prediction quality is so fluctuating due to the altering nature of the bug (or defect) fixing process. Therefore, we adopt the notion of a concept drift, which denotes that the defect prediction model has become unsuitable as set of influencing features has changed – usually due to a change in the underlying bug generation process (i.e., the concept). We explore four open source projects (Eclipse, OpenOffice, Netbeans and Mozilla) and construct file-level and project-level features for each of them from their respective CVS and Bugzilla repositories. We then use this data to build defect prediction models and visualize the prediction quality along the time axis. These visualizations allow us to identify concept drifts and – as a consequence – phases of stability and instability expressed in the level of defect prediction quality. Further, we identify those project features, which are influencing the defect prediction quality using both a tree induction-algorithm and a linear regression model. Our experiments uncover that software systems are subject to considerable concept drifts in their evolution history. Specifically, we observe that the change in number of authors editing a file and the number of defects fixed by them contribute to a project’s concept drift and therefore influence the defect prediction quality. Our findings suggest that project managers using defect prediction models for decision making should be aware of the actual phase of stability or instability due to a potential concept drift

On the Diversity and Availability of Temporal Information in Linked Open Data

An increasing amount of data is published and consumed on the Web according to the Linked Data paradigm. In consideration of both publishers and consumers, the temporal dimension of data is important. In this paper we investigate the characterisation and availability of temporal information in Linked Data at large scale. Based on an abstract definition of temporal information we conduct experiments to evaluate the availability of such information using the data from the 2011 Billion Triple Challenge (BTC) dataset. Focusing in particular on the representation of temporal meta-information, i.e., temporal information associated with RDF statements and graphs, we investigate the approaches proposed in the literature, performing both a quantitative and a qualitative analysis and proposing guidelines for data consumers and publishers. Our experiments show that the amount of temporal information available in the LOD cloud is still very small; several different models have been used on different datasets, with a prevalence of approaches based on the annotation of RDF documents. © 2012 Springer-Verlag Berlin Heidelberg