An important step when designing an empirical study is to justify the sample size that will be collected. The key aim of a justification for such studies explain how collected data expected provide valuable information given inferential goals researcher. In this overview article six approaches are discussed in quantitative study: 1) collecting from (almost) entire population, 2) choosing based ...

Justification is a simple technique which was presented for improving the quality of schedules generated with algorithms for solving RCPSPs. Few researches implemented justification with meta-heuristics and proved that algorithms optimization results using justification outperforms the performance of the same algorithms without justification. In this paper, Stacking Justification is presented f...

Justification Logic studies epistemic and provability phenomena by introducing justifications/proofs into the language in the form of justification terms. Pure justification logics serve as counterparts of traditional modal epistemic logics, and hybrid logics combine epistemic modalities with justification terms. The computational complexity of pure justification logics is typically lower than ...

morality as somehow involving rationality and impartiality received classic expression in philosophy of kant who frankly speaks of “rational and impartial spectator” in contemplating the universal law. the overall aim of this paper is to show (1) that the idea of morality implies rationality and this will be reached at in refuting the moral scepticism; but (2) it does not necessarily indicates ...