Most of the existing research in field autonomous vehicles (AVs) addresses decision making, planning and control as separate factors which may affect AV performance complex driving environments. A hierarchical framework is proposed this paper to address problem mentioned above environments with multiple lanes surrounding vehicles. Firstly, high-level making implemented by a finite-state machine...

In this paper, we introduce a cerebral cortex inspired architecture for robots in which we have mapped hierarchical cortical representation of human brain to logic flow and decision making process. Our work focuses on the two major features of human cognitive process, viz. the perception-action cycle and its hierarchical organization, and the decision making process. To prove the effectiveness ...

The purpose of this study is to discuss the impact social responsibility on company's value. Taking Xiaomi Company as a case, research objects are decision-making level, management level and grass-roots employees by questionnaire survey. sampling method purposive sampling. 125 groups samples (decision-making level) 623 (grass-roots employees) sampled. Hierarchical model (HLM) hierarchical regre...

Decision-making in the field of Enterprise Architecture (EA) is a complex task. Many organizations establish a set of complex processes and hierarchical structures to enable strategydriven development of their EA. This leads to slow and inefficient decision-making entailing bad time-to-market and discontented stakeholders. Collaborative EA delineates a lightweight approach to enable EA decision...

Wiener diffusion accounts of human decision-making are among the most successful and best developed formal models in the psychological sciences. We reconsider these models from a Bayesian perspective, using graphical modeling, and Markov Chain Monte-Carlo methods for posterior sampling. By analyzing seminal data from a brightness discrimination task, we show how the Bayesian approach offers sev...

Traditional studies on the interaction of cognitive functions in healthy and disordered brains have used the analyses of the connectivity of several specialized brain networks-the functional connectome. However, emerging evidence suggests that both brain networks and functional spontaneous brain-wide network communication are intrinsically dynamic. In the light of studies investigating the coop...