This session delves into the foundational role of cognitive architectures in the development of Artificial General Intelligence (AGI). Cognitive architectures are computational frameworks designed to simulate human-like reasoning, memory, learning, and decision-making processes. By mimicking how the human brain operates, these architectures aim to produce AGI systems that exhibit versatile, general-purpose intelligence.

Key topics include:

• Foundations of Cognitive Architectures: An introduction to the key principles behind cognitive architectures and their relevance to AGI systems, including memory structures, reasoning, and learning models.

• Integrating Perception, Action, and Learning: How cognitive architectures integrate sensory inputs, motor actions, and learning algorithms to mimic human intelligence in complex environments.

• Modular and Hierarchical Systems: Exploring the design of modular architectures that allow AGI systems to manage multiple cognitive tasks simultaneously, similar to the human brain’s capacity for multitasking and prioritization.

• Self-Improvement and Adaptation: Techniques for enabling AGI systems to autonomously adapt and improve their cognitive processes, ensuring they can tackle new and unforeseen challenges.

• Applications of Cognitive Architectures: Real-world applications of these architectures in areas such as robotics, natural language processing, and complex problem-solving tasks.

This session will provide a comprehensive overview of the state of cognitive architectures, shedding light on their potential to advance AGI systems to exhibit more robust, human-like intelligence.