A Cognitive Planning Model for Transport and Logistics
Nengsheng Zhang, Bin Ma, Wenjing Yan, Juping Zhu · 2006
It is known that human teams assisted by a computer software system can make planning more accurately and quickly in uncertain situations than teams of just people. Therefore, there are a lot of planning systems developed based on the traditional theories such as rational choice theories and rule-based expert systems which mainly focused on human intelligence. However, these systems could not emulate and explain well that people are prompted to make different decisions for actions according to a same plan based on different emotional feelings in uncertain conditions. These human factors are diverse and could be categorized into biological, social and/or cognitive ranging from the feelings such as happy, fear, anger, interest, curiosity, stress and so on. Rather than continue in the traditional methods, this paper presents a novel approach to research and development of a more realistic computational planning model to simulate planning process by extending traditional planning model with human factor in the context of transport and logistics.