Answer (1 of 3) Goalbased agent Supposed we have a start state S This state has 3 possible state successors A, B, and C The agent checks each state one by one If one of them is a goal state, it ends there if not, it must remember that it already
Goal based agent pseudocode-Goalbased agents Knowing about the current state of the environment is not always enough to decide what to do For example, at a road junction, the taxi can turn left, right, or go straight on The right decision depends on where the taxi is trying to get to In other words, as well as a current state description, the agent needs some sort of goal information, which describes situations that areThe agent needs to know its goal which describes desirable situations Goalbased agents expand the capabilities of the modelbased agent by having the "goal" information They choose an action, so that they can achieve the goal These agents may have to consider a long sequence of possible actions before deciding whether the goal is achieved or not
Goal based agent pseudocodeのギャラリー
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Utility Based Agents help to choose the best alternatives, when there are multiple alternatives available These agents maintain a high utility function that agent tries to maximize based on the external performance measure A utility function maps a state to measure of the utility of that state It describes the agent's degree of happinessOccasionally , goal based action selection is straightforward (eg follow the acti on that leads directly to the goal);
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