In information technology a reasoning system is a software system that generates conclusions from available knowledge using logical techniques such as...

artificial intelligence, a procedural reasoning system (PRS) is a framework for constructing real-time reasoning systems that can perform complex tasks in...

representation and reasoning and metalogic, the area of automated reasoning is dedicated to understanding different aspects of reasoning. The study of automated...

Probabilistic logic (also probability logic and probabilistic reasoning) involves the use of probability and logic to deal with uncertain situations....

to represent knowledge explicitly, called a knowledge base, and a reasoning system that allows them to derive new knowledge, known as an inference engine...

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...

Logical reasoning is a mental activity that aims to arrive at a conclusion in a rigorous way. It happens in the form of inferences or arguments by starting...

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

human expert. Expert systems are designed to solve complex problems by reasoning through bodies of knowledge, represented mainly as if–then rules rather...

Deductive reasoning is the process of drawing valid inferences. An inference is valid if its conclusion follows logically from its premises, meaning that...

Diagrammatic reasoning is reasoning by means of visual representations. The study of diagrammatic reasoning is about the understanding of concepts and...

opportunistic reasoning, pieces of knowledge may be applied either forward or backward, at the "most opportune time". An opportunistic reasoning system may combine...

as deductive reasoning, inductive reasoning, and abductive reasoning. Aristotle drew a distinction between logical discursive reasoning (reason proper)...

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

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, the distributed multi-agent reasoning system (dMARS) was a platform for intelligent software agents developed at the AAII that...

semantic web, and the strengths and limitations of formal knowledge and reasoning systems. Symbolic AI was the dominant paradigm of AI research from the mid-1950s...

also examples of probabilistic reasoners, including non-axiomatic reasoning systems, and probabilistic logic networks. Notable semantic reasoners and...

the Procedural Reasoning System (PRS) and Distributed Multi-Agent Reasoning System (dMARS). JACK is one of the few multi-agent systems that uses the BDI...

commonly used methods of reasoning with inference rules and logical implications – the other is forward chaining. Backward chaining systems usually employ a depth-first...

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...

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

diagnosis. 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...

intelligent applications. At its heart is a knowledge representation and reasoning system that combines a Frame-based language with an automatic classifier engine...

Syllogism – Type of logical argument that applies deductive reasoning Theory – Supposition or system of ideas intended to explain something Thought experiment –...

in the subject of abduction. Diagnostic expert systems frequently employ abduction. Deductive reasoning allows deriving b {\displaystyle b} from a {\displaystyle...

Inductive reasoning refers to a variety of methods of reasoning in which the conclusion of an argument is supported not with deductive certainty, but...

were produced by the AAII were a procedural reasoning system (PRS); distributed multi-agent reasoning system (dMARS); and a Smart Whole AiR Mission Model...

determine reasoning rather than an underlying mechanical structure. The other reasoning process in Sloman's opinion was of the Rule-based system. The system functioned...

Analytical reasoning, also known as analytical thinking, refers to the ability to look at information, be it qualitative or quantitative in nature, and...