This research drew from social learning and international development literature. The purpose of this community research was to trace the spread and impact of sweetpotato flour in two rural communities in Papua New Gu...This research drew from social learning and international development literature. The purpose of this community research was to trace the spread and impact of sweetpotato flour in two rural communities in Papua New Guinea. Research strategy was participatory learning and action utilizing participatory mapping. The paper mapping process was documented using a video recorder and field notes. Geographic Information Systems technology was then used to incorporate local spatial knowledge on scale maps to show spread of knowledge. The main finding was the identification of social networks through tracking of sweetpotato knowledge： identifying who used the knowledge and whether there were any modifications, the location of those who used the knowledge and whether this was shared and with whom. Most significant was the enabling factors that strengthened existing and potential future networks. Community leadership styles determine success of development projects. Rural communities are diverse needing participatory multi-layered methodologies that are people oriented for agricultural technologies to be learnt and utilized for improved livelihood.展开更多
The emergence of mutual knowledge is a major cognitive mechanism for the robustness of complex socio-technical systems. It has been extensively studied from an ethnomethodological point of view and empirically reprodu...The emergence of mutual knowledge is a major cognitive mechanism for the robustness of complex socio-technical systems. It has been extensively studied from an ethnomethodological point of view and empirically reproduced by multi-agent simulations. Whilst such simulations have been used to design real work settings the underlying theoretical grounding for the process is vague. The aim of this paper is to investigate whether the emergence of mutual knowledge(MK) in a group of colocated individuals can be explained as a percolation phenomenon. The followed methodology consists in coupling agent-based simulation with dynamic networks analysis to study information propagation phenomena: After using an agent-based simulation the authors generated and then analyzed its traces as networks where agents met and exchanged knowledge. Deep analysis of the resulting networks clearly shows that the emergence of MK is comparable to a percolation process. The authors specifically focus on how changes at the microscopic level in the proposed agent based simulator affect percolation and robustness. These results therefore provide theoretical basis for the analysis of social organizations.展开更多
文摘This research drew from social learning and international development literature. The purpose of this community research was to trace the spread and impact of sweetpotato flour in two rural communities in Papua New Guinea. Research strategy was participatory learning and action utilizing participatory mapping. The paper mapping process was documented using a video recorder and field notes. Geographic Information Systems technology was then used to incorporate local spatial knowledge on scale maps to show spread of knowledge. The main finding was the identification of social networks through tracking of sweetpotato knowledge： identifying who used the knowledge and whether there were any modifications, the location of those who used the knowledge and whether this was shared and with whom. Most significant was the enabling factors that strengthened existing and potential future networks. Community leadership styles determine success of development projects. Rural communities are diverse needing participatory multi-layered methodologies that are people oriented for agricultural technologies to be learnt and utilized for improved livelihood.
文摘The emergence of mutual knowledge is a major cognitive mechanism for the robustness of complex socio-technical systems. It has been extensively studied from an ethnomethodological point of view and empirically reproduced by multi-agent simulations. Whilst such simulations have been used to design real work settings the underlying theoretical grounding for the process is vague. The aim of this paper is to investigate whether the emergence of mutual knowledge(MK) in a group of colocated individuals can be explained as a percolation phenomenon. The followed methodology consists in coupling agent-based simulation with dynamic networks analysis to study information propagation phenomena: After using an agent-based simulation the authors generated and then analyzed its traces as networks where agents met and exchanged knowledge. Deep analysis of the resulting networks clearly shows that the emergence of MK is comparable to a percolation process. The authors specifically focus on how changes at the microscopic level in the proposed agent based simulator affect percolation and robustness. These results therefore provide theoretical basis for the analysis of social organizations.
