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EvLer
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Does anybody know a good source for learning about non-axiomatic logics?
I found just one name Pei Wang.
Thanks in advance.
I found just one name Pei Wang.
Thanks in advance.
The scientific method is the best example of a non-axiomatic logic I can think of.EvLer said:Does anybody know a good source for learning about non-axiomatic logics?
I found just one name Pei Wang.
Thanks in advance.
Yeah, that's what I found too: basically work by one person named Pei Wang. I guess one difference between axiomatic and non-axiomatic as described by him is that axiomatic systems assume knowledge provided through premises to be sufficient, while non-axiomatic systems take insufficiency of knowledge as the ground fact, they learn and adapt. A better paper by him that I found (if anybody is interested) is Cognitive Logic versus Mathematical logic.honestrosewater said:I have no idea what a non-axiomatic logic is, but in trying to find out, googling 'non-axiomatic reasoning system' gives better results.
Non-axiomatic logic is a type of logic that does not rely on a set of axioms or assumptions to reach conclusions. Instead, it uses a combination of learning and reasoning to make inferences and solve problems.
Pei Wang is a prominent researcher and scholar in the field of artificial intelligence and cognitive science. He is known for his work on non-axiomatic logic and the development of the Non-Axiomatic Reasoning System (NARS).
The Non-Axiomatic Reasoning System (NARS) is a cognitive architecture developed by Pei Wang that uses non-axiomatic logic to learn and reason in a way that mimics human thinking. It is based on the principles of intelligence, including novelty, adaptivity, and creativity.
Traditional logic relies on a set of axioms and rules to make deductions and draw conclusions. In contrast, learning non-axiomatic logic does not have a predefined set of axioms and instead learns and adapts its reasoning based on experience and feedback.
Learning non-axiomatic logic has many potential applications, including in artificial intelligence, cognitive science, and machine learning. It can also be applied in fields such as natural language processing, robotics, and decision-making systems.