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Artificial intelligence
Bayesian networks
Language-model agents
Machine learning
Stored-program computer
Symbolic artificial intelligence
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Loaded · 5 relations
Bayesian networks
→
Artificial intelligence
applied in
Bayesian networks are used for probabilistic knowledge representation and inference under uncertainty in AI, and can also be used in statistical modeling more broadly.
Language-model agents
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Artificial intelligence
specializes
Language-model-driven agents are a class of goal-directed AI systems; the ReAct approach recorded here does not represent the entire history of agents.
Machine learning
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Artificial intelligence
specializes
Within the engineering scope of AI covered by this family, machine learning improves performance through data and experience; AI also includes approaches that do not center on learning.
Stored-program computer
→
Artificial intelligence
enables
Programmable computers provide a general-purpose platform for implementing AI programs; the Dartmouth proposal included automatic computers among the requirements for the research. This relation does not claim that all neural or intelligent systems can only be implemented in this hardware form.
Symbolic artificial intelligence
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Artificial intelligence
specializes
Symbolic AI is a class of approaches within AI that solve problems through explicit representations, rules, and search.