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...

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...

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...

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)...

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

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

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 a rule-based legal expert system, information is represented in the form of deductive rules within the knowledge base. Case-based reasoning models, which...

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

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

Forward chaining (or forward reasoning) is one of the two main methods of reasoning when using an inference engine and can be described logically as repeated...

knowledge base and an inference engine. The knowledge base stored facts about the world. The inference engine applied logical rules to the knowledge base and...

scientist. He was Co-PI on an ARDA-funded GTRI research project called "Case-Based Reasoning for Knowledge Discovery". This project discovered and made explicit...

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...

that models reasoning with cases and hypotheticals in the legal domain. It is the first of its kind and the most sophisticated of the case-based legal reasoners...

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

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...

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...

filtering Cold start Case-based reasoning Constraint satisfaction Knowledge-based configuration Guided selling R. Burke, Knowledge-based Recommender Systems...

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...

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

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...

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

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...

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

building approaches have been evaluated, such as approaches founded on case-based reasoning, classification and regression trees, simulation, neural networks...

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

industry. The system involves integrating intelligence modules based on case-based reasoning, multi-agent systems, fuzzy logic, and artificial neural networks...