A human behavior model of multi-agent attention based on actor–observer switching for asynchronous motion tasks with limited field of view

2018 ◽  
Vol 33 (13) ◽  
pp. 647-660 ◽  
Author(s):  
Tingting Zhang-Xu ◽  
Kolja Kühnlenz
2021 ◽  
pp. 44-49
Author(s):  
S. I. Dobrydnev ◽  
T. S. Dobrydneva

The article appeals to the problem of designing motivation model for the labor behavior of company stuff. Human behavior is one of the key areas of research in many fields of knowledge. The main forms of human behavior in economics are consumer and labor behavior. For each of them, extensive theoretical and practical material has been developed, a significant variety of behaviors has been proposed. Moreover, in the absence of general models of human behavior that would be applicable in any field of his activity, each science develops its own methodological apparatus and builds models based on its own approaches. Models of consumer behavior describe a clearly defined object (purchasing act), are specific and practically oriented. Patterns of labour behaviour are more general and relate to conduct in general, but not to a specific act of activity. The article attempts to apply the principles of building models of consumer behavior to modeling labor behavior. The model of type “Definition of target actions — Stimulus selection — Information and desire — Choice and location — Check and preference — Confirmation and relation” is proposed. The content of these stages for the task of changing labor behavior is shown. A methodological feature of the model is the isolation of rational and emotional aspects in some elements of labor behavior.


Smart Cities ◽  
2019 ◽  
Vol 2 (3) ◽  
pp. 421-432
Author(s):  
Xu ◽  
Tong ◽  
Xu

Urban public space is the main place for human outdoor activities. Simulating human behavior through the Multi-Agent System (MAS) is one of the most important methods for studying public space. However, most of the research on this topic is concerned with the way people behave and the connection to spatial layouts. It ignores the fact that in outdoor spaces, microclimate factors tend to have a more important impact on human behavior. In this study, microclimate factors were narrowed down into two main factors: outdoor thermal perception and sunshine perception. Both of these factors are integrated into the traditional MAS, together with visual perception as the influence factors of agent action. The new MAS was developed in Processing language and can dynamically and visually show agents activities in the space. Taking Gulou Square in Nanjing, China, as a case, the simulations were carried out with three typical meteorological days of spring equinox, summer solstice, and winter solstice. Through comparing the simulation results at different times, we found that the new MAS exhibits a significant impact of microclimate on human behavior. The new MAS can be used reasonably and effectively for the design and evaluation of urban public space.


Author(s):  
Tsuyoshi Taki ◽  
◽  
Junichi Hasegawa

To evaluate or predict human behavior, extraction of characteristic patterns from actual crowd scenes and crowd simulation in different situations based on general human behavior model are needed. We use changes in a spatial feature formed by individual movement called a "dominant region", a type of dynamic personal space. In the paper, a basic concept and calculation of the dominant region and its applications are presented. Experiments show that the proposed feature is useful in evaluating and simulating human behavior.


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