Agentic decision-making model grounded in cognitive science executes multi-step tasks with lower computational overhead
https://techxplore.com/news/2026-07-ai-framework-rooted-cognitive-science.html "integrates cognitive maps and active inference to streamline problem-solving... by mirroring biological neural sampling, the model dynamically filters redundant data and prioritizes high-value computational pathways... targeted processing drastically reduces memory and energy footprint typically required by standard deep-learning models... lays a foundation for more adaptable, goal-oriented AI systems capable of rapid real-time planning.... autonomous AI agents"