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Knowledge-based systems
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===Meta-reasoning=== Later{{when?|date=May 2024}} architectures for knowledge-based reasoning, such as the BB1 blackboard architecture (a [[blackboard system]]),<ref>{{Cite book |last=Hayes-Roth |first=Barbara |author-link=Barbara Hayes-Roth |url=https://dl.acm.org/citation.cfm?id=892336 |title=BB1: an Architecture for Blackboard Systems that Control, Explain, and Learn about Their Own Behavior |last2=Department |first2=Stanford University Computer Science |date=1984 |publisher=Department of Computer Science, Stanford University}}</ref> allowed the reasoning process itself to be affected by new inferences, providing meta-level reasoning. BB1 allowed the problem-solving process itself to be monitored. Different kinds of problem-solving (e.g., top-down, bottom-up, and opportunistic problem-solving) could be selectively mixed based on the current state of problem solving. Essentially, the problem-solver was being used both to solve a domain-level problem along with its own control problem, which could depend on the former. Other examples of knowledge-based system architectures supporting meta-level reasoning are MRS<ref>{{Cite journal |last=Genesereth |first=Michael R |title=1983 - An Overview of Meta-Level Architecture |journal=AAAI-83 Proceedings |page=6}}</ref> and [[Soar (cognitive architecture)|SOAR]].
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