Cognitive System
Cognitive systems research aims to understand and replicate human-like intelligence in artificial systems, focusing on building agents capable of continuous learning, complex reasoning, and interaction with dynamic environments. Current research emphasizes developing robust architectures that integrate diverse approaches, including dynamic neural networks, multi-agent models, and large language models, often incorporating principles from cognitive psychology and neuroscience. This field is significant for advancing artificial general intelligence and has practical implications for improving human-computer interaction, automating complex tasks, and enhancing human cognitive capabilities through augmentation.
Papers
Establishing Meta-Decision-Making for AI: An Ontology of Relevance, Representation and Reasoning
Cosmin Badea, Leilani Gilpin
Cognitive modelling with multilayer networks: Insights, advancements and future challenges
Massimo Stella, Salvatore Citraro, Giulio Rossetti, Daniele Marinazzo, Yoed N. Kenett, Michael S. Vitevitch