Case-based reasoning (CBR), broadly construed, is the process of solving new problems based on the solutions of similar past problems. In everyday life...
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In artificial intelligence, model-based reasoning refers to an inference method used in expert systems based on a model of the physical world. With this...
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propositions, i.e. true or false claims about what is the case. Together, they form an argument. Logical reasoning is norm-governed in the sense that it aims to formulate...
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deduction and induction. Reasoning systems play an important role in the implementation of artificial intelligence and knowledge-based systems. By the everyday...
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Textual case-based reasoning (TCBR) is a subtopic of case-based reasoning, in short CBR, a popular area in artificial intelligence. CBR suggests the ways...
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Casuistry • Case-based reasoning Abductive reasoning Inference engine Commonsense reasoning International Joint Conference on Automated Reasoning (IJCAR)...
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formally represent it as knowledge in knowledge-based systems whereas knowledge representation and reasoning (KRR, KR&R, or KR²) also aims to understand,...
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Symbolic artificial intelligence (redirect from Logic-based artificial intelligence)
introduced case-based reasoning (CBR). The CBR approach outlined in his book, Dynamic Memory, focuses first on remembering key problem-solving cases for future...
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knowledge-based systems have two defining components: an attempt to represent knowledge explicitly, called a knowledge base, and a reasoning system that...
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natural language understanding) and case-based reasoning, both of which challenged cognitivist views of memory and reasoning. He began his career teaching at...
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knowledge-based systems and case-based reasoning (CBR, Fallbasiertes Schließen). He is worldwide known as pioneer in case-based reasoning. Richter was...
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In artificial intelligence (AI), commonsense reasoning is a human-like ability to make presumptions about the type and essence of ordinary situations...
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up, the (reset) command causes CLIPS to read the facts and rules. In this case, that would lead to the three "trouble_shooting" facts being asserted. Then...
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inspectable simulation-based training system". AI Magazine. Stanley, G.M. (July 15–17, 1991). "Experience Using Knowledge-Based Reasoning in Real Time Process...
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In a rule-based legal expert system, information is represented in the form of deductive rules within the knowledge base. Case-based reasoning models, which...
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knowledge base cannot be run, as it is just a "bag of information", to be used as input to various generic reasoning algorithms. Reasoning engines that...
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Legal informatics (redirect from Formal models of legal reasoning)
reasoning; models of social organization based on norms have contributed to multi-agent systems; reasoning with legal cases has contributed to case-based...
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similarity, etc. Since, many other techniques were proposed, such as case-based reasoning. A CD player that holds multiple CDs with a programmable grid mapper...
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Another example of a CDSS would be a case-based reasoning (CBR) system. A CBR system might use previous case data to help determine the appropriate...
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educational technologies. Topics included knowledge-based machine learning, case-based reasoning, cognitive modeling, and natural language processing...
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Casuistry (redirect from Casuistic reasoning)
KAZ-ew-iss-tree) is a process of reasoning that seeks to resolve moral problems by extracting or extending abstract rules from a particular case, and reapplying those...
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it is accepted only as an auxiliary method. A refined approach is case-based reasoning. Mineral A and Mineral B are both igneous rocks often containing...
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Reasoning language models (RLMs) are large language models that have been further trained to solve multi-step reasoning tasks. These models perform better...
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Knowledge level modeling Knowledge management Knowledge representation and reasoning Knowledge retrieval Knowledge tagging Method engineering Feigenbaum, Edward;...
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main knowledge base at run-time. It is essentially a translation by analogy and can be viewed as an implementation of a case-based reasoning approach to...
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her later research in artificial intelligence included work on case-based reasoning and the applications of AI in legal work. She is a professor emerita...
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Artificial intelligence (redirect from Ontology based approach)
automation – Automation of business processes Case-based reasoning – Process of solving new problems based on the solutions of similar past problems Computational...
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that should prevail. The doctrine is a special branch of casuistry (case-based reasoning) developed in the late Middle Ages and the Renaissance. While associated...
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Probabilistic logic (redirect from Probabilistic reasoning)
or the opinion of experts, even when they are less probable), the case-based reasoning of casuistry, and the scandal of Laxism (whereby probabilism was...
17 KB (2,006 words) - 16:56, 23 June 2025