Abstract
One of the most important responsibilities for preserving ecological balance in any focal landscape is wild species conservation. Scholars have attempted to employ numerous technology solutions for this aim during the previous few decades. Conflict with the local people in the landscape is one of the primary problems encountered by conservationists and wildlife stakeholders on the job. Game theory has been used to examine the conflicts in this chapter. The native’s traditional ethics and different parts of technology are treated as vertices. The interactions between conventional methods and installed technology are referred to as the network's connections. Clusters in the network are discovered using a centrality and network analysis technique. The analysis provides us with a backdrop of vertex similarity, resulting in the creation of clusters between the vertices and therefore the informative data points. Conservationists would benefit greatly from identifying traditional techniques that support technology applications and those that do not. A link between these two can be highly useful in identifying the main forest society activities that should be prioritized and therefore in planning the technology implementation process. Gaining local support for the goal of animal conservation requires a deeper knowledge of these linkages and, as a result, strategy. As a result, the focus of this research is on gaining knowledge of traditional methods and applying it to the deployment of technology applications for the long-term aim of animal conservation.
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Shanu, S. (2022). Technology Versus Tradition: Game Theoretic Model for Human-Animal Conflict in the Evolution of Digital Society. In: Choudhury, A., Singh, T.P., Biswas, A., Anand, M. (eds) Evolution of Digitized Societies Through Advanced Technologies. Advanced Technologies and Societal Change. Springer, Singapore. https://doi.org/10.1007/978-981-19-2984-7_15
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