新西兰Essay代写：智能范式和知识领域构建
借鉴Jobe(2003)的工作，Ramona(2007)的工作专注于智能系统的范式和知识域构建对于理解认知能力和人类思维过程的必要性。拉蒙娜的工作特别侧重于理解智能系统是如何成为理解人类认知的一种更基本、更合理的方式。例如，出现在信息技术领域的智能系统被认为具有反映启发式的嵌入式结构和程序，启发式是特定领域或范式中的专家工作者的模型。对这样一位在某一特定范式或领域工作的专家进行认知心理学分析，在现实生活中是行不通的，至少是非常困难的。人工智能中的科学建模过程使之更容易，因为范例或知识领域只能作为一个后端数据库，从中可以提取数据。
新西兰Essay代写：智能范式和知识领域构建
这种更容易理解的形式在使用人工智能处理认知心理学时得到了促进，这就是为什么人工智能会有用的原因(Anderson 1990;Tourangeau & Sternberg, 1981)。虽然有很多反驳了AI的编程特性,使用人工智能有好处在建模和没有更强的模型可以用于模型和理解的认知过程和行为,AI模型应该作为认知心理学的一个强项。因此，许多对事件、思维及其相关行为的主观解释可以在上下文中建模和理解。
新西兰Essay代写：智能范式和知识领域构建
Drawing from the work of Jobe (2003), the work of Ramona (2007) is focused on how the paradigm and knowledge domain constructions of the intelligent systems are necessary for understanding cognitive capabilities and the human thought process. The work of Ramona is particularly focused on understanding how the intelligent systems are just a more fundamentally sound way of understanding human cognizance. For instance, the intelligent systems that are present in the information technology field are seen to have embedded structures and programs reflecting heuristics, which are models of expert workers in some specific domain or paradigm. A cognitive psychology analysis of such an expert working in some specific paradigm or domain would not be feasible in real life, or at least would be very difficult. The scientific modeling process in AI makes it easier as paradigms or knowledge domains serve only as a backend database from which data can be drawn on.
新西兰Essay代写：智能范式和知识领域构建
This form of easier understanding is facilitated when working with cognitive psychology using AI and this hence is the reasoning behind why AI would be useful (Anderson 1990; Tourangeau & Sternberg, 1981). Although there are numerous counterarguments presented on the programmed nature of AI, there are benefits to using AI in modeling and in the absence of much stronger models that could be used to model and understand the cognitive processing and behavior, the AI model should serve as a strong point in cognitive psychology. Hence, numerous subjective interpretations of events, thinking and their related behavior can be modeled and understood in context.
