inductive reasoning
A scientist uses inductive reasoning to form a hypothesis after observing many experiments.
Noun: - Inductive reasoning: A logical process of reasoning that moves from specific observations or detailed facts to broader generalizations and theories. It involves drawing a probable conclusion based on evidence, where the conclusion is likely but not guaranteed to be true.
Inductive reasoning is used to formulate hypotheses, generalizations, and predictions based on empirical evidence. - Scientists often use inductive reasoning to develop theories from experimental data. - Her conclusion was based on inductive reasoning, moving from the patterns she observed in the market data to a general prediction.
- In philosophy of science: Inductive reasoning is fundamental to the scientific method, contrasting with deductive reasoning. It is concerned with the support evidence provides for a conclusion.
- The problem of induction questions the logical justification for inductive reasoning.
- In artificial intelligence: Refers to algorithms that learn patterns and make predictions from datasets.
- Machine learning models rely on a form of inductive reasoning to infer rules from training examples.
- Induction (n): The process or act of reasoning inductively; often used interchangeably with "inductive reasoning."
- The argument was an example of induction.
- Inductive (adj): Of, relating to, or using induction.
- She presented an inductive argument for her hypothesis.
- Generalization: The process of forming general concepts or principles from specific instances.
- Inductive inference: A conclusion reached through the process of induction.
- Deductive reasoning: A logical process that moves from general premises to a specific, certain conclusion.
- Unlike inductive reasoning, deductive reasoning guarantees the truth of the conclusion if the premises are true.
A scientist uses inductive reasoning to form a hypothesis after observing many experiments.
- reasoning from detailed facts to general principles