The decision-earning agent assigns a range to every scenario (called the "utility") that steps just how much the agent prefers it. For every probable action, it may work out the "predicted utility": the utility of all feasible results of the action, weighted by the chance that the outcome will manifest. https://marcotoiby.blogacep.com/33080157/examine-this-report-on-ai