Abstract
Cognitive architectures aim to provide blueprints for achieving artificial general intelligence (AGI). Cognitive models that can provide crucial clues to the working of human mind are typically built on top of cognitive architectures. This paper reviews contemporary cognitive architectures including Soar, ACT-R, CLARION, OpenCog Prime and ICARUS in terms of architecture and components, knowledge and representation, learning and adaptability, and memory models. It then evaluates these architectures based on certain evaluation criteria. In addition, this paper reviews recent research focus in these architectures and their usage in real-world applications. Finally, this paper discusses the trends and challenges ahead in building effective cognitive architectures.
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