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Artificial intelligence (AI)1, together with big data, is the driving force behind the ever-accelerating digital revolution. AI has what it takes to call into question our fundamental concepts and processes of political, social, economic etc. order (Macron, 2018; Zuboff, 2018), and the law will not be spared. Therefore, all societal actors (inter alia from politics, the economy, legal practice and academia) must take responsibility for the crucial twin tasks of determining the right, balanced relationship between AI and the law, and even to hybridise them. ...
This article pinpoints the double being and doing of weapons, warriors and warrior fraternities as quite possibly a characterising trait from the onset of the Corded Ware period well into the mature Bronze Age and beyond. Exquisitely crafted weapons of bronze – many spirited with a life-energy of their own – were used to wage war and sometimes to hack victims into pieces with strong indications that the beautiful warrior with his trained well-groomed body was capable of extreme violence. The companionship of warrior peers in the fraternity was a social construct enabling effective waging of war as well as fulfilling other roles in Bronze Age society, contributing to rituals and social interaction.
In April 2018 the European Commission announced its holistic approach to Artificial Intelligence (AI) based on the following three pillars: first, to boost financial support and encourage uptake by the public and private sectors in order to reach investments in AI-related research and innovation by at least 20 billion Euros by the end of 2020. The second pillar aims at preparing for socio-economic changes in terms of the upcoming transformation of the labour market. Finally, the European Commission will ensure an appropriate ethical and legal framework by developing AI ethics guidelines and providing guidance on the interpretation of the Product Liability directive. ...
Experimental studies investigating logical reasoning performance show very high error rates of up to 80% and more. Previous research identified scalar inferences of the sentences of logical arguments as a major error source. We present new analytical tools to quantify the impact of scalar inferences on syllogistic reasoning. Our proposal builds on a new classification of Aristotelian syllogisms and a closely linked classification of reasoning behaviors/strategies.
We argue that the variation in error rates across syllogistic reasoning tasks is in part due to individual variation: reasoners follow different reasoning strategies and these strategies play out differently for syllogisms of different classes.
"Artificial Intelligence (AI) is the future. [...] Whoever leads in AI will rule the world" (Russia Today, 2018). This was the central message that President Vladimir Putin conveyed to more than one million Russian school students in September 2017. He also promised to ensure that Russian knowledge of AI would benefit the world. However, the competition in this field is already playing itself out globally. Besides Russia, the USA and China are already in the race, with China, for example, having recently published an ambitious AI strategy, namely the "New Generation Artificial Intelligence Development Plan" (Webster et al., 2018). This document predicts China’s world leadership in the AI field as soon as 2030. The EU and several other countries – among them Germany in the autumn of 2018 - have followed suit with their own AI strategies. ...
Analyses of scope reconstruction typically fall into two competing approaches: 'semantic reconstruction', which derives non-surface scope using semantic mechanisms, and 'syntactic reconstruction', which derives it by positing additional syntactic representations at the level of Logical Form. Grosu and Krifka (2007) proposed a semantic-reconstruction analysis for relative clauses like the gifted mathematician that Dan claims he is, in which the relative head NP can be interpreted in the scope of a lower intensional quantifier. Their analysis relies on type-shifting the relative head into a predicate of functions. We develop an alternative analysis for such relative clauses that replaces type-shifting with syntactic reconstruction. The competing analyses diverge in their predictions regarding scope possibilities in head-external relative clauses. We use Hebrew resumptive pronouns, which disambiguate a relative clause in favor of the head-external structure, to show that the prediction of syntactic reconstruction is correct. This result suggests that certain type-shifting operations are not made available by Universal Grammar.
The thought of using Artificial Intelligence (AI) and algorithmic decisionmaking (ADM) processes in our daily lives makes many of us feel insecure. Most consumers see more risks than opportunities, an attitude brought about by the black-box nature of algorithms and AI. When an organisation or public authority makes a decision supported by an algorithm, one can feel that one is at the algorithm’s mercy, finding it incomprehensible. Widespread consumer distrust of AI and ADM processes will make it difficult to improve their societal acceptance and therefore make it challenging to apply them in the business sector and in policy-making. Without trust on the consumer side, there can be no progress.
In this paper I argue for a new constraint on questions, namely that a question denotation (a set of propositions) must map to a partition of a Stalnakerian Context-Set by point-wise exhaustification (point-wise application of the function Exh). The presupposition that Dayal attributes to an Answer operator follows from this constraint, if we assume a fairly standard definition of Exh (Krifka, 1995). But the constraint is more restrictive thereby deriving the sensitivity of higher order quantification to negative islands (Spector, 2008).
Moreover, when combined with recent proposals about the nature of Exh - designed primarily to account for the conjunctive interpretation of disjunction (e.g. Bar-Lev and Fox, 2017) - Dayal’s presupposition follows only in certain environments. This observation allows for an account of the "mention-some" interpretation of questions that makes specific distributional predictions.
In this contribution the sub-project of the LOEWE initiative which is researching Late Bronze Age hilltop sites between the mountain ranges of the Vogelsberg and Taunus is presented. Special emphasis is placed on the first results from an evaluation of the data from archives and remote sensing as well as from geophysical examinations of particular sites.