A pandemic is a force majeure event, and contracting parties can invoke conditions under to minimize liability for unforeseen, uncontrollable, unavoidable circumstances. This study develops conceptual model assist in the management of delays cost overruns due events arising from construction sector Small Island Developing States (SIDS). critical case analysis past epidemics pandemics was conduc...

Reinforcement learning (RL) can obtain the supervisory controller for discrete-event systems modeled by finite automata and temporal logic. The published methods often have two limitations. First, a large number of training data are required to learn RL controller. Second, algorithms do not consider uncontrollable events, which essential control theory (SCT). To address limitations, we first ap...