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...

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...

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

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...

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...

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

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...

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...

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

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

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

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...

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

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

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

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

various generic reasoning algorithms. Reasoning engines that use FO(.) include IDP-Z3, IDP and FOLASP. As an example, the IDP system allows generating...

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

Flora-2 system introduced a number of changes to the syntax of F-logic, making it more suitable for a knowledge representation and reasoning system as opposed...

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...

Moral reasoning is the study of how people think about right and wrong and how they acquire and apply moral rules. It is a subdiscipline of moral psychology...

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

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

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...

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

CLIPS (C Language Integrated Production System) is a public-domain software tool for building expert systems. The syntax and name were inspired by Charles...