Cognitive Approach
Cognitive approaches in artificial intelligence aim to understand and replicate human cognitive processes within computational systems, focusing on improving AI's decision-making, creativity, and interaction with humans. Current research emphasizes modeling aspects like attention, metacognition, and the cognitive processes involved in writing and human-robot interaction, often employing deep learning models, large language models (LLMs), and generative adversarial networks (GANs). This work is significant for advancing AI capabilities, improving human-computer interaction, and offering insights into human cognition itself, with applications ranging from mental health support to safer autonomous systems.
Papers
Creativity Support in the Age of Large Language Models: An Empirical Study Involving Emerging Writers
Tuhin Chakrabarty, Vishakh Padmakumar, Faeze Brahman, Smaranda Muresan
Cognitive Approach to Hierarchical Task Selection for Human-Robot Interaction in Dynamic Environments
Syed T. Bukhari, Bashira Akter Anima, David Feil-Seifer, Wajahat M. Qazi