研究者的直觉:人工智能的形成条件与实现的可能性

Anna Denisovna Tsvetkova
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摘要

本文探讨了调查实践中的直觉问题。依靠着名的法医科学家的立场,这种启发式机制的重要性,以克服僵局,不仅由于信息短缺,而且由于信息过剩。作者提出了直觉发展的机制,其中最主要的是博学的扩展,即大量背景知识的积累。文章的第二部分讨论了人工智能的问题。首先,它有可能取代一个人。其次,对科学上存在的立场进行了反驳,根据这一立场,人工神经网络的工作具有直观的特点。通过对实例的分析和对各种科学立场的综合,得出以下结论:基于概率假设的直觉决定有助于调查员为其行为选择具体的调查行动或策略。2. 直觉在具有一般工作经验和广泛学识的研究者中得到最好的发展。3.直觉是可以而且应该培养的,主要是通过扩大学识,积累背景经验。4. 人工神经网络的工作不能被称为完全直观,因为它们根据给定的算法行动,即使生成人类感知无法获得的解决方案,而直觉是一种超越标准模型的创造性过程。5. 迄今为止,只有一个弱的人工智能,它只能覆盖信息过剩的情况,而不能覆盖信息不足的情况,尽管后者经常需要诉诸直觉。6. 直觉是人类相对于人工智能的一个竞争优势,它让我们的思维更广泛、更全面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigator's Intuition: Conditions of Formation and the Possibility of Implementation of Artificial Intelligence
The paper examines the issues of intuition in investigative practice. Relying on the positions of prominent forensic scientists, the importance of this heuristic mechanism for overcoming deadlocks caused not only by a shortage of information, but also by its overabundance is substantiated. The author suggests mechanisms for the development of intuition, the main of which is called the expansion of erudition, the accumulation of a large number of background knowledge. The second part of the article discusses the problems of artificial intelligence. Firstly, the topic of its potential to replace a person is covered. Secondly, the position existing in science is refuted, according to which the work of artificial neural networks is characterized as intuitive.   Based on the analysis of practical examples and the synthesis of various scientific positions, the author formulated the following conclusions: 1. The intuitive decisions based on the probabilistic assumption assist the investigator in choosing specific investigative actions or tactics for their conduct. 2. Intuition is best developed among investigators with average work experience and broad erudition. 3. Intuition can and should be developed, mainly by expanding erudition, accumulating background experience. 4. The work of artificial neural networks cannot be called completely intuitive, since they act according to a given algorithm, even if generating a solution that is not accessible to human perception, whereas intuition is a creative process that goes beyond standard models. 5. To date, there is only a weak artificial intelligence, which is able to cover only situations of an overabundance of information, but not its deficit, although the latter very often require an appeal to intuition. 6. Intuition is a competitive advantage of humans over artificial intelligence, allowing our species to think more broadly, more versatile.
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