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Showing 1 to 1 of 1 for “"multi-subagent"”.
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Assessing Working Models' Impact on Land Cover Dynamics through Multi-Agent Based Modeling and Artificial Neural Networks: A Case Study of Roanoke, VA
The transition towards flexible work arrangements, notably work-from-home (WFH) practices, has prompted significant discourse on their potential to reshape urban landscapes. While existing urban growth models (UGM) offer insights into environmental and economic impacts, There is a need to study the …