Minimizing efforts in validating crowd answers

In recent years, crowdsourcing has become essential in a wide range of Web applications. One of the biggest challenges of crowdsourcing is the quality of crowd answers as workers have wide-ranging levels of expertise and the worker community may contain faulty workers. Although various techniques for quality control have been proposed, a post-processing phase in which crowd answers are validated is still required. Validation is typically conducted by experts, whose availability is limited and who incur high costs. Therefore, we develop a probabilistic model that helps to identify the most beneficial validation questions in terms of both, improvement of result correctness and detection of faulty workers. Our approach allows us to guide the experts work by collecting input on the most problematic cases, thereby achieving a set of high quality answers even if the expert does not validate the complete answer set. Our comprehensive evaluation using both real-world and synthetic datasets demonstrates that our techniques save up to 50% of expert efforts compared to baseline methods when striving for perfect result correctness. In absolute terms, for most cases, we achieve close to perfect correctness after expert input has been sought for only 20% of the questions

Will a Conservative vision for community cohesion work?

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Logical and Theoretical Foundations of African Environmental Ethics

[English] The paper observed that the various ethics that constitute the system of African environmental ethics are not based on or linked to any known African ontology and formal logic. It argued that the contextualisation of African environmental ethics on African ontology and African logic is essential since Western ontology and logic do not serve to adequately explain and provide proper meanings to the various concepts and propositions employed in the African environmental ethics. Therefore, the paper aimed to, and indeed, link and establishes African environmental ethics on a definite and sound African ontology and formal logic based on Ibuanyidanda complementary ontology and Ezumezu integrativist logic. [Annang] Nwed ndun̄ọ ami akondo ada akud ate k’ idem mme ido ukpeme nkan-n̄kuk ke Africa ada nsan nsan ye ọntọlọgy ye lọgik Africa. Nnwed ami abenne awọ́d ate ke ọntọlọgy ye lọgik mfia agwo iwamma ke adinam awan̄a mme nsio nsio akpọ-ikọ, adaha ikọ, mme usem, ye mme edu ake 'adọhọke ke mme ido ukpeme nkan-n̄kuk ke Africa. Ntak ade anam ukpep mkpọ ami anwana ndiben ido ukpeme nkan-n̄kuk Africa n̄ka n̄ke kọọn̄ ke ọntọlọgy ye lọgik afọnnọ nte itiat ikaba, ade anam anye asan̄a 'ke kem ye Ibuanyidanda Ontology ye Ezumezu Logic

What is the method in applying formal methods to PLC applications?

The question we investigate is how to obtain PLC applications with confidence in their proper functioning. Especially, we are interested in the contribution that formal methods can provide for their development. Our maxim is that the place of a particular formal method in the total picture of system development should be made very clear. Developers and customers ought to understand very well what they can rely on or not, and we see our task in trying to make this explicit. Therefore, for us the answer to the question above leads to the following questions: Which parts of the system can be treated formally? What formal methods and tools can be applied? What does their successful application tell (or does not) about the proper functioning of the whole system

Autonomy and Aesthetic Engagement

There seems to be a deep tension between two aspects of aesthetic appreciation. On the one hand, we care about getting things right. On the other hand, we demand autonomy. We want appreciators to arrive at their aesthetic judgments through their own cognitive efforts, rather than deferring to experts. These two demands seem to be in tension; after all, if we want to get the right judgments, we should defer to the judgments of experts. The best explanation, I suggest, is that aesthetic appreciation is something like a game. When we play a game, we try to win. But often, winning isn’t the point; playing is. Aesthetic appreciation involves the same flipped motivational structure: we aim at the goal of correctness, but having correct judgments isn’t the point. The point is the engaged process of interpreting, investigating, and exploring the aesthetic object. Deferring to aesthetic testimony, then, makes the same mistake as looking up the answer to a puzzle, rather than solving it for oneself. The shortcut defeats the whole point. This suggests a new account of aesthetic value: the engagement account. The primary value of the activity of aesthetic appreciation lies in the process of trying to generate correct judgments, and not in having correct judgments. *There is an audio version available: look for the Soundcloud link, below.

Does belief have an aim?

The hypothesis that belief aims at the truth has been used to explain three features of belief: (1) the fact that correct beliefs are true beliefs, (2) the fact that rational beliefs are supported by the evidence and (3) the fact that we cannot form beliefs `at will. I argue that the truth-aim hypothesis cannot explain any of these facts. In this respect believing differs from guessing since the hypothesis that guessing aims at the truth can explain the three analogous features of guessing. I conclude that, unlike guessing, believing is not purposive in any interesting sense

English-medium instruction in European higher education: review and future research.

The purpose of this volume has been to give an account of the status of English as a medium of instruction in various political, geographical and ideological contexts: Northern, Southern, Eastern, Western and Central Europe, regions at different stages of EMI implementation. It is our hope that the preceding chapters have given comparative insights into some of the discussions and issues associated with EMI in European higher education. While contributors have investigated a diverse set of empirical, pedagogical and political issues, many issues remain to be addressed in more detail. In these final few pages of the volume, we briefly review some of the main issues that have arisen in the preceding chapters and the broader EMI literature and propose further directions in methodological approaches, areas, and scopes