Neurolaw, as an interdisciplinary field which links the brain to law, facilitates the pathway to better understanding of human behavior in order to regulate it accurately through incorporating neuroscience achievements in legal studies. Since 1990's, this emerging field, by study on human nervous system as a new dimension of legal phenomena, leads to a more precise explanation for human behavio...

Most decision making methods used to evaluate a system or demonstrate the weak and strength points are based on fuzzy sets and evaluate the criteria with words that are modeled with fuzzy sets. The ambiguity and vagueness of the words and different perceptions of a word are not considered in these methods. For this reason, the decision making methods that consider the perceptions of decision...

Recently, many quantitative or qualitative techniques have been developed to support human resource management (HRM) activities, including Human Resource Information System (HRIS). More importantly, HRIS can include Expert System (ES), Decision Support System (DSS), and Executive Information System (EIS). As DSS and Group Support System (GSS) are able to facilitate human resources (HR) groups t...

Traditional engineering decision support systems (EDSS) cannot be well applied in the practice of construction management due to their inherent limitations in knowledge acquisition. In this paper, a new approach named DMDS is proposed, which integrates data mining technologies with decision support systems. DMDS aims to automatically extract knowledge from a large amount of historic data genera...

Abstract Perceptual decisions rely on accumulating sensory evidence. This computation has been studied using either drift diffusion models or neurobiological network exhibiting winner-take-all attractor dynamics. Although both can account for a large amount of data, it remains unclear whether their dynamics are qualitatively equivalent. Here we show that in the model, but not an increase stimul...