Browsing by Author "Huuhtanen, Anni-Emilia"

Research on artificial intelligence (AI) has often focused on techniques for implementing specialized aspects of intelligence without regard for the full picture of intelligence and cognition. However, a need for more general, human-like AI systems has also been recognized. In this thesis, our aim was to study potential starting points for a comprehensive, general and truly human-like cognitive architecture. We performed a comparative theoretical analysis on two existing layouts, the standard model of the mind and perceptual control theory (PCT), based on functional criteria gathered from literature. While our results indicate that the PCT model is more comprehensive than the standard model on a theoretical level, finding out the true benefits and challenges of the models and their suitability as foundations for human-like AI systems requires practical evaluation. Additional research is needed to fill current gaps in both models, create their computational implementations, and design practical evaluation methods suitable for them.