Image scoring sustains cooperation in the repeated two-player prisoner's dilemma through indirect reciprocity, even though defection is the uniquely dominant selfish behaviour in the one-shot game. Many real-world dilemma situations, however, firstly, take place in groups and, secondly, lack the necessary transparency to inform subjects reliably of others' individual past actions. Instead, ther...

Japanese students’ lack of English writing skills has been a long-standing problem. It not only originates from grammatical knowledge and vocabulary, but also the availability fewer opportunities to write essays in English. Further, current standards for evaluating written by beginner-level learners are established sufficiently, resulting heavy grading burden on teachers. This study establishes...

Educators often employ various training techniques to reduce raters’ subjectivity. Negotiation is a technique which can assist novice raters to co-construct a shared understanding of the writing assessment when rating collaboratively. There is little research, however, on rating behaviors of novice raters while employing negotiation techniques and the effect of negotiation on their understandin...

The paper dwells on a judgement model for R&D project evaluation using multifactor criteria based on hierarchic considerations. The idea is to employ formal tools in quantification of subjective evaluations where expert judgement is involved. Comparative evaluations on a priority scale are converted to quantities using the eigen vector concept. This is also the essence of the Analytic Hierarchi...

Talent evaluation is a very important part in the human resources development and management process, and it has certain implications for talent prediction and planning, allocation and management, and training. In this paper, the author makes a fuzzy evaluation model of creative talents based on analytic hierarchy process. By using fuzzy analytic hierarchy process, we combine qualitative indica...

Large-scale data exploration using Big Data platforms requires the orchestration of complex analytic workflows composed of atomic analytic components for data selection, feature extraction, modeling and scoring. In this paper, we propose an approach that uses a combination of planning and machine learning to automatically determine the most appropriate data-driven workflows to execute in respon...