Assessment of Cognitive Behavioral Characteristics in Intelligent Systems with Predictive Ability and Computing Power

Autor: Oleg V. Kubryak, Sergey V. Kovalchuk, Nadezhda G. Bagdasaryan
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Philosophies, Vol 8, Iss 5, p 75 (2023)
Druh dokumentu: article
ISSN: 2409-9287
DOI: 10.3390/philosophies8050075
Popis: The article proposes a universal dual-axis intelligent systems assessment scale. The scale considers the properties of intelligent systems within the environmental context, which develops over time. In contrast to the frequent consideration of the “mind” of artificial intelligent systems on a scale from “weak” to “strong”, we highlight the modulating influences of anticipatory ability on their “brute force”. In addition, the complexity, the ”weight“ of the cognitive task and the ability to critically assess it beforehand determine the actual set of cognitive tools, the use of which provides the best result in these conditions. In fact, the presence of ”common sense“ options is what connects the ability to solve a problem with the correct use of such an ability itself. The degree of ”correctness“ and ”adequacy“ is determined by the combination of a suitable solution with the temporal characteristics of the event, phenomenon, object or subject under study. The proposed approach can be applied in the evaluation of various intelligent agents in different contexts including AI and humans performing complex domain-specific tasks with high uncertainty.
Databáze: Directory of Open Access Journals
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