2 resultados para composable ABM
em QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast
Resumo:
SALT threatened to institutionalize a bipolar world order. NWS and NNWS alike feared that the US and SU will prioritize global security principles such as systemic stability and conflict stability to Atlantic and European security. Endangered was Europe’s security and position in the future world order. Parity in strategic weapons invalidated the US nuclear umbrella. An ABM deployment and a non-transfer regime threatened Europe’s nuclear defence options. The danger of a Limited War or a denuclearization of Central Europe led to a European co-ordination on nuclear arms control to assure the preservation of the West and the future of Europe.
Resumo:
In this research, an agent-based model (ABM) was developed to generate human movement routes between homes and water resources in a rural setting, given commonly available geospatial datasets on population distribution, land cover and landscape resources. ABMs are an object-oriented computational approach to modelling a system, focusing on the interactions of autonomous agents, and aiming to assess the impact of these agents and their interactions on the system as a whole. An A* pathfinding algorithm was implemented to produce walking routes, given data on the terrain in the area. A* is an extension of Dijkstra's algorithm with an enhanced time performance through the use of heuristics. In this example, it was possible to impute daily activity movement patterns to the water resource for all villages in a 75 km long study transect across the Luangwa Valley, Zambia, and the simulated human movements were statistically similar to empirical observations on travel times to the water resource (Chi-squared, 95% confidence interval). This indicates that it is possible to produce realistic data regarding human movements without costly measurement as is commonly achieved, for example, through GPS, or retrospective or real-time diaries. The approach is transferable between different geographical locations, and the product can be useful in providing an insight into human movement patterns, and therefore has use in many human exposure-related applications, specifically epidemiological research in rural areas, where spatial heterogeneity in the disease landscape, and space-time proximity of individuals, can play a crucial role in disease spread.