Period and space tradeoffs - artificial intelligence, Computer Engineering

Period and Space Tradeoffs - artificial intelligence:

In practice, you are going to stop your agent for long term using in searching goal at some stage if it has not found a solution by then. Hence, if we can choose the fastest search and researching strategy, that will explore more and more of the search space and increase the likelihood of finding a solution of such problem. There is a problem with this, often. It may be that the best ever strategy is the one which uses in most memory of agent. To perform a search, an agent needs at least to know where and how it is in a search space and menu, instead lots of other things can also be recorded. For instance, a searching and researching strategy may involve going over old ground, and it would save its time for another cases if the agent know it had already tried a particular path. Even although RAM capacities in these computers are going steadily up, for some of the searches that "AI" agents are employed going to undertake, they often run out of memory. As we know that in computer science in general, "AI" practitioners rarely have to devise clever ways to trade memory and time in order to achieve an effective balance.

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