Case-based reasoning (CBR), broadly construed, is the process of solving new problems based on the solutions of similar past problems. In everyday life...

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...

deduction and induction. Reasoning systems play an important role in the implementation of artificial intelligence and knowledge-based systems. By the everyday...

Casuistry • Case-based reasoning Abductive reasoning Inference engine Commonsense reasoning International Joint Conference on Automated Reasoning (IJCAR)...

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...

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...

formally represent it as knowledge in knowledge-based systems whereas knowledge representation and reasoning (KRR, KR&R, or KR²) also aims to understand,...

introduced case-based reasoning (CBR). The CBR approach outlined in his book, Dynamic Memory, focuses first on remembering key problem-solving cases for future...

knowledge-based systems have two defining components: an attempt to represent knowledge explicitly, called a knowledge base, and a reasoning system that...

natural language understanding) and case-based reasoning, both of which challenged cognitivist views of memory and reasoning. He began his career teaching at...

knowledge-based systems and case-based reasoning (CBR, Fallbasiertes Schließen). He is worldwide known as pioneer in case-based reasoning. Richter was...

form of inductive reasoning from a particular to a particular. It is often used in case-based reasoning, especially legal reasoning. An example follows:...

In artificial intelligence (AI), commonsense reasoning is a human-like ability to make presumptions about the type and essence of ordinary situations...

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...

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...

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...

Knowledge level modeling Knowledge management Knowledge representation and reasoning Knowledge retrieval Knowledge tagging Method engineering Feigenbaum, Edward;...

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...

reasoning; models of social organization based on norms have contributed to multi-agent systems; reasoning with legal cases has contributed to case-based...

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...

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...

resolution. Both rules are based on the modus ponens inference rule. It is one of the two most commonly used methods of reasoning with inference rules and...

educational technologies. Topics included knowledge-based machine learning, case-based reasoning, cognitive modeling, and natural language processing...

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...

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...

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...

inspectable simulation-based training system". AI Magazine. Stanley, G.M. (July 15–17, 1991). "Experience Using Knowledge-Based Reasoning in Real Time Process...

Reasoning language models (RLMs) are large language models that have been further trained to solve multi-step reasoning tasks. These models perform better...

automation – Automation of business processes Case-based reasoning – Process of solving new problems based on the solutions of similar past problems Computational...

In philosophy of logic, defeasible reasoning is a kind of provisional reasoning that is rationally compelling, though not deductively valid. It usually...