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The Architecture of Collective Cognition
This paper explores the concept of collective cognition as the foundation for advanced intelligent systems, emphasizing the crucial role of collaboration between humans and AI.
Creating Coherence in Adaptive Intelligent Systems
A first-principles framework for integrating diverse cognitive functions, enabling hierarchical self-monitoring and control, and grounding abstract beliefs in an AI Agent's physical and environmental context.
Leading from the Edge
A framework system design for shaping Sentiment, Collective Behaviors, and Human Action in Spatial Social Networks
Active Inference Explained
Active Inference is an emerging framework that offers a principled approach to designing intelligent systems, drawing inspiration from biological intelligence and rooted in the Free Energy Principle (FEP). Unlike traditional Artificial Intelligence (AI) approaches that often rely on large datasets and extensive computational power