Scrape wikipedia-science: 0 new, 1177 updated, 1212 total (kb-cron)

data/en.wikipedia.org/wiki/Actuarial_science-0.md

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data/en.wikipedia.org/wiki/Agronomy-0.md

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data/en.wikipedia.org/wiki/Analytics-0.md

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data/en.wikipedia.org/wiki/Analytics-1.md

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data/en.wikipedia.org/wiki/Applied_anthropology-0.md

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data/en.wikipedia.org/wiki/Applied_anthropology_research_methods-0.md

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data/en.wikipedia.org/wiki/Applied_ecology-0.md

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data/en.wikipedia.org/wiki/Applied_economics-0.md

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data/en.wikipedia.org/wiki/Applied_science-0.md

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data/en.wikipedia.org/wiki/Archaeological_science-0.md

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data/en.wikipedia.org/wiki/Artes_mechanicae-0.md

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data/en.wikipedia.org/wiki/Artificial_intelligence-0.md

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data/en.wikipedia.org/wiki/Artificial_intelligence-1.md

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data/en.wikipedia.org/wiki/Artificial_intelligence-10.md

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data/en.wikipedia.org/wiki/Artificial_intelligence-11.md

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data/en.wikipedia.org/wiki/Artificial_intelligence-12.md

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data/en.wikipedia.org/wiki/Artificial_intelligence-13.md

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data/en.wikipedia.org/wiki/Artificial_intelligence-14.md

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data/en.wikipedia.org/wiki/Artificial_intelligence-15.md

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data/en.wikipedia.org/wiki/Artificial_intelligence-2.md

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@@ -29,12 +29,6 @@ Inference in both Horn clause logic and first-order logic is undecidable, and th
 Fuzzy logic assigns a "degree of truth" between 0 and 1. It can therefore handle propositions that are vague and partially true.
 Non-monotonic logics, including logic programming with negation as failure, are designed to handle default reasoning. Other specialized versions of logic have been developed to describe many complex domains.
 
-==== DPLL algorithm ====
-
-==== Backward chaining ====
-
-==== Forward chaining ====
-
 === Probabilistic methods for uncertain reasoning ===
 
 Many problems in AI (including reasoning, planning, learning, perception, and robotics) require the agent to operate with incomplete or uncertain information. AI researchers have devised a number of tools to solve these problems using methods from probability theory and economics. Precise mathematical tools have been developed that analyze how an agent can make choices and plan, using decision theory, decision analysis, and information value theory. These tools include models such as Markov decision processes, dynamic decision networks, game theory and mechanism design.

data/en.wikipedia.org/wiki/Artificial_intelligence-3.md

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