Deductive Reasoning Flashcards

Inductive reasoning is also known as...

Answer: Hypothesis construction

Inductive reasoning is a method of reasoning where general principles or theories are derived from specific observations or data. It involves forming generalizations and developing hypotheses that can then be tested. Therefore, 'hypothesis construction' accurately describes a core aspect of inductive reasoning, as it moves from specific instances to broader explanatory frameworks.

The classic philosophical treatment of the problem of induction was given by the Scottish philosopher...

Answer: David Hume

David Hume, an 18th-century Scottish philosopher, is renowned for his skeptical examination of the problem of induction. He famously questioned the rational justification for believing that future events will resemble past ones, arguing that our reliance on induction is based on custom and habit rather than logical necessity. His work profoundly influenced subsequent philosophical thought on epistemology and scientific reasoning.

One of these is a critic of inductive reasoning?

Answer: Karl Popper

Karl Popper is a renowned philosopher of science known for his critique of inductive reasoning. He argued that scientific theories cannot be proven true by accumulating evidence (induction), but rather can only be falsified by counter-evidence. His concept of falsifiability emphasizes that science progresses by eliminating false theories, not by confirming true ones through induction.

A generalization proceeds from a premise to a...

Answer: Conclusion

In logic, a generalization is a form of inductive reasoning where specific observations or premises lead to a broader statement or principle. The process involves moving from these particular instances to a more general rule or theory. Therefore, the ultimate outcome or destination of a generalization is a conclusion that extends beyond the initial specific cases.

Which of these is a generalization fallacy?

Answer: Biased sample

A generalization fallacy occurs when an inductive generalization is drawn from insufficient or unrepresentative evidence. A 'biased sample' directly describes a situation where the data used to form a generalization does not accurately represent the larger population. This flaw leads to an unwarranted or fallacious conclusion, as the sample is not truly indicative of the whole.

Who created the Theory of Universal Inductive Inference?

Answer: Ray Solomonoff

Ray Solomonoff is widely recognized as the founder of the Theory of Universal Inductive Inference, also known as algorithmic probability. He developed a formal mathematical framework for inductive reasoning, integrating concepts from algorithmic information theory and probability theory. His work provides a method for predicting future observations based on past data using the shortest possible computer program.

In which year was the Theory of Universal Inductive Inference founded?

Answer: 1960

Ray Solomonoff published his seminal papers on the Theory of Universal Inductive Inference in 1960. This year marks the formal establishment of this groundbreaking theory, which offered a new computational approach to understanding and formalizing inductive reasoning. His initial publications laid the foundation for a significant field within artificial intelligence and machine learning.

Which of these is an element of the theory of universal inductive inference?

Answer: Algorithmic probability

Algorithmic probability is a fundamental concept and a core element of Ray Solomonoff's Theory of Universal Inductive Inference. It assigns a probability to any sequence of symbols based on the length of the shortest computer program that can generate that sequence. This principle is central to the theory's method of making predictions and inferences about data.

One of the skeptics of inductive reasoning include...

Answer: Sextus Empiricus

Sextus Empiricus was a prominent ancient Greek philosopher and a leading figure in Pyrrhonian skepticism. He extensively critiqued the possibility of certain knowledge, including the reliability of inductive reasoning. His arguments highlighted the problem of induction, questioning how one can logically justify moving from observed instances to unobserved ones without circular reasoning.

Inductive reasoning starts with a?

Answer: Conclusion

Inductive reasoning is a logical process that begins with specific observations or premises and moves towards a general conclusion. While it starts with particular data points, the entire process is oriented towards formulating a broader, often probable, conclusion. In this sense, the ultimate aim or direction of inductive reasoning is inherently tied to reaching a conclusion, making it the intended outcome from the outset.

What are the 2 types of logic?

Answer: Deductive and inductive

The two primary and most recognized types of logical reasoning are deductive and inductive. Deductive reasoning moves from general principles to specific conclusions, where the conclusion is guaranteed if the premises are true. Inductive reasoning, conversely, moves from specific observations to general conclusions, providing probable but not certain outcomes.