日本吸尘器用法
Vacuum cleaner problem is a well-known search problem for an agent which works on Artificial Intelligence. In this problem, our vacuum cleaner is our agent. It is a goal based agent, and the goal of this agent, which is the vacuum cleaner, is to clean up the whole area. So, in the classical vacuum cleaner problem, we have two rooms and one vacuum cleaner. There is dirt in both the rooms and it is to be cleaned. The vacuum cleaner is present in any one of these rooms. So, we have to reach a state in which both the rooms are clean and are dust free.
吸尘器问题是针对从事人工智能工作的代理人的众所周知的搜索问题。 在这个问题上，我们的吸尘器是我们的代理商 。 它是基于目标的代理，而该代理(即真空吸尘器)的目标是清理整个区域。 因此，在经典的吸尘器问题中，我们有两个房间和一个吸尘器。 两个房间都有灰尘，需要清洁。 这些房间中的任何一个都有真空吸尘器。 因此，我们必须达到两个房间都干净且无尘的状态。
So, there are eight possible states possible in our vacuum cleaner problem. These can be well illustrated with the help of the following diagrams:
因此，在我们的吸尘器问题中可能存在八个可能的状态。 可以借助下图很好地说明这些：
Here, states 1 and 2 are our initial states and state 7 and state 8 are our final states (goal states). This means that, initially, both the rooms are full of dirt and the vacuum cleaner can reside in any room. And to reach the final goal state, both the rooms should be clean and the vacuum cleaner again can reside in any of the two rooms.
在这里，状态1和2是我们的初始状态，状态7和状态8是我们的最终状态(目标状态)。 这意味着，最初，两个房间都充满了灰尘， 真空吸尘器可以放在任何房间中。 为了达到最终目标状态，两个房间都应保持清洁，并且真空吸尘器可以再次位于两个房间中的任何一个中。
The vacuum cleaner can perform the following functions: move left, move right, move forward, move backward and to suck dust. But as there are only two rooms in our problem, the vacuum cleaner performs only the following functions here: move left, move right and suck.
真空吸尘器可执行以下功能：向左移动，向右移动，向前移动，向后移动以及吸尘。 但是由于我们的问题只有两个房间，因此真空吸尘器在这里仅执行以下功能：向左移动，向右移动和吸吮。
Here the performance of our agent (vacuum cleaner) depends upon many factors such as time taken in cleaning, the path followed in cleaning, the number of moves the agent takes in total, etc. But we consider two main factors for estimating the performance of the agent. They are:
在这里，我们的清洁剂(真空吸尘器)的性能取决于许多因素，例如清洁时间，清洁路径，清洁剂的移动总数等。但是，我们考虑了两个主要因素来评估清洁剂的性能中介。 他们是：
Search Cost: How long the agent takes to come up with the solution.
搜索成本：座席提出解决方案需要多长时间。
Path cost: How expensive each action in the solution are.
路径成本：解决方案中每个动作的成本 。
By considering the above factors, the agent can also be classifies as a utility based agent.
通过考虑上述因素，代理也可以归类为基于实用程序的代理。
翻译自: https://www.includehelp.com/ml-ai/vacuum-cleaner-problem-in-artificial-intelligence.aspx
日本吸尘器用法
