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加拿大多伦多大学论文代写:逻辑与推理

加拿大多伦多大学论文代写:逻辑与推理

基于逻辑的方法是用来监控所有 所观察到的行为的逻辑一致 解释,因此必须考虑所有可能的和一致的计划或目标。Kautz设计了一个正式的规划识别理论。他描述了规划识别的过程,逻辑过程的界限。所有的行动和计划被统称为目标,和识别的知识是由一组一阶语句调用的事件层次结构在一阶逻辑编码来表示,它定义了抽象、分解和事件类型之间的功能关系。
Kautz提出的计划识别具有最坏情况的指数时间复杂度的算法,并在输入法的尺寸测量。Lesh和埃齐奥尼 进一步推动这个计划识别的过程和设计方法在放大目标识别扩展他的工作计算。除了Kautz的方法在规划库是明确表示,Lesh和埃齐奥尼的方法允许从域图元自动规划图书馆建设。他们介绍了紧凑表示和高效算法的目标识别大型规划库。
不一致的计划和目标反复观察和实施时,新的行动到达。此外,他们还提供了一种方法,适应目标识别处理个别特质行为给定的样本的个人最近的行为。基于逻辑的方法的主要问题是,它是无法和不可行的表示不确定性。有没有机制,宁愿一个一致的方法,另一个无法决定一个特定的计划是否更有可能比另一个,只要两者都可以一致到足以解释所观察到的行动。还有一个缺乏学习能力与基于逻辑的方法。
这种逻辑活动的另一种方法是模拟一个图像流,然后组织它来评估当前的情况,并观察所提供的输入,以形成所需的输出。这种类型的过程可以用于医疗,体育等领域。

加拿大多伦多大学论文代写:逻辑与推理

Logic-based approaches are used to monitor all the logically consistent explanations of the observed actions, thus making it compulsory to consider all possible and consistent plans or goals. Kautz devised a formal theory of plan recognition. He described the process of plan recognition as a logical process of circumscription. All actions performed and plans drawn are uniformly referred to as goals, and a recognizer’s knowledge is represented by a set of first-order statements called event hierarchy encoded in first-order logic, which defines abstraction, decomposition and functional relationships between types of events.
Kautz’s proposed an algorithm for plan recognition which has an exponential time complexity in worst case, and is measured in the size of input hierarchy. Lesh and Etzioni advanced further in this process of plan recognition and devised methods in scaling up goal recognition to scale up his work computationally. Apart from the Kautz’s approach where the plan library is explicitly represented, Lesh and Etzioni’s approach allows automatic plan-library construction from domain primitives. They introduced compact representations and efficient algorithms for goal recognition on large plan libraries.
Inconsistent plans and goals are repeatedly observed and implemented when new actions arrive. Besides, they also provide methods for adapting a goal recognizer to handle individual idiosyncratic behaviour given a sample of an individual’s recent behaviour. The main problem of logic-based approach is that it is unable and not feasible to represent uncertainty. There is no mechanism for preferring one consistent approach to another and incapable of deciding whether one particular plan is more likely than another, as long as both of them can be consistent enough to explain the actions observed. There is also a lack of learning ability associated with logic based methods.
Another approach to this logical activity is to model a stream of images and then organizing it to evaluate the current situation and observe the supplied input to form the desired output. This type of process can be used in fields like medical, sports, etc.