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Computation

Bayesian Cognitive Architectures  and Program Synthesis

Security RiskGovernance/Ethics Risk
Implement Bayesian cognitive models and probabilistic programming and program synthesis techniques to endow AI with more human-like reasoning, planning, and decision-making capabilities.

Resources (7)

Bayes3D: fast learning and inference in structured generative models of 3D objects and scenes
Research and Reviews
DreamCoder: growing generalizable, interpretable knowledge with wake–sleep Bayesian program learning
Research and Reviews
From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought
Research and Reviews
Generative Flow Networks
Research and Reviews
Ndea
Company
ARC Prize
Funding Program
Basis
Research Org

R&D Gaps (1)

AI is Still Narrow in its Reasoning and Planning

Computation
Current AI systems exhibit narrow reasoning and planning capabilities compared to human cognition. Broadening AI training methods to include holistic, brain-inspired architectures and cognitive frameworks can advance general intelligence (flagging that there is an AI safety risk here).
Computation
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