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In this paper a cross-disciplinary study of the use of epistemic markers as hedging rhetorical strategies in research articles in English is carried out. Based on computer readable data, and combining quantitative and
qualitative methods, the article argues that the…

The analysis of noisy consensus dynamics in networks is of great interest to both
advance the fundamental understanding of multi-agent systems in nature as well as
create robust decentralized engineering systems. We develop a protocol that heuristically attempts to optimize…

Le plus souvent reconnu comme un associé de la médecine et des organismes de règlementation de la recherche biomédicale, le domaine de la bioéthique a récemment élargi sa compétence académique pour inclure un rôle croissant dans les processus de décision…

Nutrigenomics covers disparate fields of nutrition science and has been defined in many different ways. In fact, this emerging field of science has multiple facets, many of which do not generate the same ethical issues. In particular, different ethical issues…

Organizations must establish processes for managing knowledge across boundaries because of the specialized and task-dependent forms of knowledge required to deliver products and services. To address this challenge an integrative framework is developed that identifies and integrates the value of…

This study examines the relationship between knowledge management and organizational resilience. The sample for the study consisted of one hundred and twenty eight (128) employees from the thirty four manufacturing companies that are registered with the manufacturers Association of Nigeria,…

This empirical study investigates the type of knowledge the NGOs (Non-Governmental Organisations) transfer to the beneficiaries in Bangladesh.  About 22,000 NGOs are in operations in Bangladesh with a view to developing the socio-economic conditions of their beneficiaries. Knowledge transfer is…

The Operational Security Network Code will provide the basis on European Union level for the power system to function with a satisfactory level of security and quality of supply, as well as efficient utilization of infrastructure and resources. It requires…

This paper analyzes the suitability of reinforcement learning (RL) for both programming and adapting situated agents. We discuss two RL algorithms: Q-learning and the Bucket Brigade. We introduce a special case of the Bucket Brigade, and analyze and compare its…