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This work aims to analyze foundational mechanisms of general intelligence in artificial intelligence systems.

November 12, 2025Open Access

Thinking Machines: Foundations of General Intelligence and World Models

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This work aims to analyze foundational mechanisms of general intelligence in artificial intelligence systems.
Investigated three dimensions: energy-efficient computation, embodied goal-directed control, multi-timescale memory consolidation.
Examined principles from neuroscience and systems theory to inform AI design.
Proposed a dual-loop computational framework for real-time adaptation and planning.
Identified the limitations of current AI in compositional reasoning and causal abstraction.
Outlined a coherent foundation for scalable general intelligence emphasizing dynamic process communication.
Demonstrated the architecture promotes energy efficiency and goal-directed behavior.

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Analysis reveals how artificial intelligence can enhance adaptive behavior through neuroscience and systems theory.

Nair et al. (2025) studied this question.

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