reasoning - Concepts

Explore concepts tagged with "reasoning"

Total concepts: 30

Concepts

Rationalism - The philosophical view that reason is the primary source of knowledge and truth.
Post-Hoc Rationalization - The tendency to construct logical-sounding explanations for decisions, behaviors, or beliefs after the fact, when the actual reasons were often emotional, unconscious, or irrational.
Abductive Reasoning - Reasoning to the best explanation for observed facts, generating plausible hypotheses.
Analogical Prompting - A technique that prompts AI to recall or generate relevant examples and analogies before solving a new problem.
Reflexion - An AI technique where the model reflects on its own outputs, identifies errors, and iteratively improves its responses.
Logical Fallacies - Errors in reasoning that undermine the logic of an argument, often appearing persuasive but fundamentally flawed.
Consilience - When evidence from multiple independent sources converges to support the same conclusion.
Reasoning by Analogy - A thinking approach that solves problems by comparing them to similar situations and applying solutions that worked before.
Reductio ad Absurdum - A logical argument that establishes a claim by showing the opposite leads to absurd conclusions.
Least-to-Most Prompting - A technique that decomposes complex problems into simpler subproblems, solving them in order from easiest to hardest.
Principle of Charity - The practice of interpreting someone's argument in the strongest and most reasonable way before critiquing it.
Ideological Turing Test - The ability to argue an opposing position so convincingly that advocates of that position cannot distinguish you from one of their own.
Motivated Reasoning - The tendency to process information in ways that support conclusions we want to reach, rather than conclusions supported by evidence.
Generated Knowledge Prompting - A two-step technique where the AI first generates relevant background knowledge, then uses that knowledge to answer the question.
Argumentation - The process of constructing and evaluating logical arguments to support or refute claims through structured reasoning and evidence.
Chain of Thought - A prompting technique where AI models reason step-by-step rather than jumping to answers.
System 2 - Slow, deliberate, analytical thinking that requires conscious effort and attention.
Inductive Reasoning - Reasoning from specific observations to broader generalizations or probable conclusions.
Thought Experiment - A structured mental simulation used to explore hypothetical scenarios and test ideas without physical implementation.
Chain-of-Thought Prompting - A prompting technique that encourages LLMs to break down complex problems into step-by-step reasoning, improving accuracy and reliability.
Tree-of-Thought Prompting - A prompting technique that explores multiple reasoning paths in parallel, like a tree of possibilities, to find the best solution.
Causal Inference - The process of determining whether and how one variable or event actually causes changes in another, going beyond mere correlation.
Self-Consistency Prompting - A decoding strategy that samples multiple reasoning paths and selects the most consistent answer through majority voting.
Category Size Bias - The tendency to believe that outcomes belonging to a larger category are more likely than those in smaller categories.
Deductive Reasoning - Reasoning from general principles to specific conclusions with logical certainty.
Dialectical Thinking - Thinking through dialogue and the synthesis of opposing ideas to reach deeper understanding.
Statistical Inference - The process of using data analysis and probability theory to draw conclusions about a population from a sample.
Texas Sharpshooter Fallacy - A logical fallacy where differences in data are ignored while similarities are overemphasized, like shooting a barn and then drawing targets around the bullet holes.
ReAct Prompting - A prompting framework that combines reasoning traces with action-taking, enabling AI to think and act interleaved.
Inference - The process of drawing conclusions from available evidence, premises, or observations using logical reasoning.

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