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Heuristic Functions, Primitive Recursion and Recursivity

机译:启发式函数,原始递归和递归

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摘要

When we approach to a problem of Artificial Intelligence, we can distinguish between Classification, Searching and Representation Methods. Within Searching Procedures, we have the Blind Search (without knowledge of the Domain) and the Heuristic Search (with knowledge of the Domain).rnThe Theory of Functions provide us with very useful tools (such as the heuristic function) for the representation and solution of such type of problems. Such function show, for instance, the estimation of distance to the final node, or equivalently, the number of steps to reach the solution.rnAlso, in the problems with Fuzzy Logic and Non-Monotonic reasoning appears a very interesting tool: the membership function, with the information about the degree of completion of the condition defining the respective Fuzzy Set or Fuzzy Relation. Finally, we analyze the interesting Ackermann function, famous counterexample, created to prove that the μ—recursivity does not imply the primitive recursion, with its consequences in Automata Theory.
机译:当我们处理人工智能问题时,我们可以区分分类,搜索和表示方法。在搜索过程中,我们有盲搜索(不了解领域)和启发式搜索(了解领域)。功能理论为表示和解决方案提供了非常有用的工具(例如启发式函数)这类问题。例如,这种函数显示了到最终节点的距离的估计,或者等效地,它表示达到解的步数。rn此外,在模糊逻辑和非单调推理中,问题似乎是一个非常有趣的工具:隶属函数,以及有关条件完成程度的信息,这些条件定义了相应的模糊集或模糊关系。最后,我们分析了有趣的Ackermann函数(著名的反例),该函数被创建来证明μ递归并不意味着原始递归,并且它对自动机理论具有影响。

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