during recent decades, researchers have attempted to understand individual and group level behavior, at micro levels while macro level researchers studied organizational and institutional level behavior. yet few scholars have examined organizational effects on individual and group behavior and the effects of individual and group behavior on organization as a whole. such a research can lead to a...

this study aims to consider the relationships between job fatigue, organizational citizenship behavior and organizational atmosphere. the evaluation of each variable is a kind of decision making problem which has systematic transaction between variables. so, decision making trial and evaluation laboratory (dematel) is suitable for defining the cause and effect relationships between variables. w...

human capital has important role on economic growth. this factor can increase labor and capital productivity. it can increase capacity of new technology and reduce criminal participation and improve voters’ political behavior and migration of people with high human capital to another region has effects on region and spatial spillover on other regions. the present study aimed to analyze the dire...

Human beings are an incredibly social species and along with eusocial insects engage in the largest cooperative living groups in the planet's history. Twin and family studies suggest that uniquely human characteristics such as empathy, altruism, sense of equity, love, trust, music, economic behavior, and even politics are partially hardwired. The leap from twin studies to identifying specific g...

Tremendous progress in the field of human genetics has made a major impact over the last two decades into our understanding of many Mendelian disorders affecting humans. It is much more difficult to approach the genetics of complex disorders and is particularly challenging in the case of dissecting genetics of the wide range of behavioral variation in the general population. Knowledge of the bi...

The dominant computational approach to model operant learning and its underlying neural activity is model-free reinforcement learning (RL). However, there is accumulating behavioral and neuronal-related evidence that human (and animal) operant learning is far more multifaceted. Theoretical advances in RL, such as hierarchical and model-based RL extend the explanatory power of RL to account for ...

A widely accepted prediction is that computing will move to the background, weaving itself into the fabric of our everyday living spaces and projecting the human user into the foreground. If this prediction is to come true, then next generation computing, which we will call human computing, should be about anticipatory user interfaces that should be human-centered, built for humans based on hum...

Human behavior is complex, but structured along individual and social lines. Robotic systems interacting with people in uncontrolled environments need capabilities to correctly interpret, predict and respond to human behaviors. This paper discusses the scientific, technological and application challenges that arise from the mutual interaction of robotics and computational human behavior underst...