摘要
由一名新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-详细介绍了人工智能ce的数据。根据Ne wsRx记者在澳大利亚珀斯的新闻报道，研究表明：“获得一个被广泛接受的人类智能定义一直是一个挑战，这种情况反映在计算机科学中人工智能的不同定义上。通过批判性地检查现有定义，突出一致性和不一致性，本文提出了一个完善的术语，以协调两个学科的概念。”新闻记者从西澳大利亚大学的研究中获得了一句话：“提出了人类和人工智能的抽象和操作定义，强调通过各自的感知-认知和计算过程成功完成11月目标的最大能力。此外，支持考虑人类和人工智能，本文还描述了当前人工智能培训和测试实践的意义，因为它们可以预期导致人工成就或专业知识，而不是人工智能。与心理测量学平行，“人工智能度量学”被认为是一门必要的计算机科学学科，阿克诺强调了测试可靠性和有效性的重要性。与人类一般智能相似的是,人工一般智能(AGI)反映了人工系统性能的共同变化。我们认为,目前的证据更支持观察人工成就和专业知识,而不是人工智能。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on Artificial Intelligen ce have been presented. According to news reporting from Perth, Australia, by Ne wsRx journalists, research stated, "Achieving a widely accepted definition of hu man intelligence has been challenging, a situation mirrored by the diverse defin itions of artificial intelligence in computer science. By critically examining p ublished definitions, highlighting both consistencies and inconsistencies, this paper proposes a refined nomenclature that harmonizes conceptualizations across the two disciplines." The news correspondents obtained a quote from the research from the University o f Western Australia, "Abstract and operational definitions for human and artific ial intelligence are proposed that emphasize maximal capacity for completing nov el goals successfully through respective perceptual-cognitive and computational processes. Additionally, support for considering intelligence, both human and ar tificial, as consistent with a multidimensional model of capabilities is provide d. The implications of current practices in artificial intelligence training and testing are also described, as they can be expected to lead to artificial achie vement or expertise rather than artificial intelligence. Paralleling psychometri cs, ‘AI metrics' is suggested as a needed computer science discipline that ackno wledges the importance of test reliability and validity, as well as standardized measurement procedures in artificial system evaluations. Drawing parallels with human general intelligence, artificial general intelligence (AGI) is described as a reflection of the shared variance in artificial system performances. We con clude that current evidence more greatly supports the observation of artificial achievement and expertise over artificial intelligence."
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NSTL