Potential of economy socialisation in the context of globalisation

Development of the world economy bears numerous negative phenomena, and require constant need to rebalance socioeconomic interests of nations, transnational subjects, and individuals. Socialisation is an important and effective tool for balancing social and individual; however, despite socialisation is evolving rapidly, its scientific and practical potential is not duly uncovered. In the article theoretical and methodological foundations of socialisation of economy is surveyed in the context of globalisation, and etymology, explanations, scope, historical phases of development, theoretical aspects and practical forms of use, consequences and prospects are analysed. The term «socialisation» was determined as a multidisciplinary, used in many scientific fields, increasingly involving various areas of research and is understood as inclusion, adaptation and development of human being in society. It was determined that the economy socialisation is implemented in different fields and semantic structures, contains a large number of methodological tools, is involved at all management levels, and is primarily identified with the increasing role of social component in the life of human resources. The assumptions were made about the future transformation of this category in line with the identified predictive trends

Context Attentive Bandits: Contextual Bandit with Restricted Context

We consider a novel formulation of the multi-armed bandit model, which we call the contextual bandit with restricted context, where only a limited number of features can be accessed by the learner at every iteration. This novel formulation is motivated by different online problems arising in clinical trials, recommender systems and attention modeling. Herein, we adapt the standard multi-armed bandit algorithm known as Thompson Sampling to take advantage of our restricted context setting, and propose two novel algorithms, called the Thompson Sampling with Restricted Context(TSRC) and the Windows Thompson Sampling with Restricted Context(WTSRC), for handling stationary and nonstationary environments, respectively. Our empirical results demonstrate advantages of the proposed approaches on several real-life datasetsComment: IJCAI 201

Justification in Context

Determining knowledge happens by indexically attuned\ud justification. One may also say that knowledge comes\ud without justification if standards for knowledge are\ud measured by fancy requirements. A lower setting of scores\ud brings justification back. Epistemic responsibility requires\ud attuning to context. Structures of epistemic justification are\ud extended from these resting on exceptionless general\ud rules to the ones involving generalities with exceptions and\ud further to those proceeding from particular contextual\ud cases. How can justification in the context really work?\ud Discussion involves the last two manners of how to\ud systematize the structure of justification. The first of these\ud involves general patterns and thus normative authority of\ud the general and the second builds on particular contexts.\ud The structure of justification proposed by this last one\ud complies with accommodation requirements for a realistic\ud account of knowledge

Terminal context in context-sensitive grammars

Context-free language generation using nontrivial constraints on context-sensitive grammar rule

Context guided retrieval

This paper presents a hierarchical case representation that uses a context guided retrieval method The performance of this method is compared to that of a simple flat file representation using standard nearest neighbour retrieval. The data presented in this paper is more extensive than that presented in an earlier paper by the same authors. The estimation of the construction costs of light industrial warehouse buildings is used as the test domain. Each case in the system comprises approximately 400 features. These are structured into a hierarchical case representation that holds more general contextual features at its top and specific building elements at its leaves. A modified nearest neighbour retrieval algorithm is used that is guided by contextual similarity. Problems are decomposed into sub-problems and solutions recomposed into a final solution. The comparative results show that the context guided retrieval method using the hierarchical case representation is significantly more accurate than the simpler flat file representation and standard nearest neighbour retrieval

Luther in context

Reviewed Book: Steinmetz, David C. Luther in context. Bloomington: Indiana Univ Press, 1986

Lawsuits in context

The study of Roman procedure has benefited enormously from the discovery of wooden tablets near Pompeii. They are variously referred to as 'the Murecine tablets' (after the Agro Murecine, their place of discovery), 'the Pompeian tablets' (after the ancient site near their place of discovery), 'the Puteoli tablets' (after the ancient site from which they were removed in antiquity), or 'the archive of the Sulpicii' (after the presumed owner of the archive in antiquity). Unfortunately, the tablets are sometimes misinterpreted, for the simple reason that the procedures they describe do not always match the procedures which more familiar sources have (wrongly) led us to believe existed. The tablets, in fact, give us the rare opportunity to revise our understanding of procedure, particularly when taken together with another remarkable find, the lex Irnitana. This article gives a sketch of the 'new' Roman civil procedure now available to us as a result of these exciting finds