Advances in Artificial Cognition and its Relation with Human Cognition

Abstract

Understanding the effective coordination between artificial and human cognition is important as artificial intelligence capabilities continue to advance. Even though each has advantages and disadvantages, working together could result in more positive effects than either could produce. Nonetheless, there are difficulties due to variations in their mechanisms and nature. Through an analysis of definitions of cognition, a discussion of artificial cognitive architectures and domains, a characterization of the distinctions between artificial and human cognition, and the presentation of a conceptual framework that illustrates coordination across multiple levels, this paper seeks to propose a model for coordination. The framework creates opportunities for future research towards standardized modelling approaches while considering technical, social, and developmental dimensions.