Reasoning refers to the cognitive processes that support drawing inferences, evaluating claims, and generating conclusions from available information. It forms a central component of higher-order cognition within [[Cognitive Psychology]], linking [[Perception]], [[Memory]], and [[Language]] to complex judgment, explanation, and problem resolution. Research treats reasoning as a family of computational operations that vary in structure, domain, and normative standards. ## Overview - Involves transforming representations to derive implications, compare alternatives, or evaluate consistency. - Bridges intuitive, experience-driven processes with rule-governed, deliberative ones. - Interacts with [[Knowledge Structures]] such as [[Schemas]], [[Mental models]], and [[Prototypes]] to guide inference. - Sensitive to [[Cognitive bias|cognitive biases]], heuristics, and contextual framing. ## Core Forms - [[Deductive reasoning]] - Deriving logically valid conclusions from premises; emphasizes formal structure. - [[Inductive reasoning]] - Generalizing from examples, statistical patterns, or incomplete evidence. - [[Analogical reasoning]] - Mapping structural correspondences between domains to generate insight or transfer understanding. - Abductive inference - Generating the best explanatory hypothesis for an observation; central to scientific reasoning. ## Theoretical Models - Mental models theory - Inference through constructing, manipulating, and inspecting structured internal models of situations. - Probabilistic/Bayesian approaches - Treat reasoning as uncertainty-sensitive inference guided by likelihoods and priors. - Dual-process theories - Distinguish rapid, associative processes from slower, rule-governed operations. - Connectionist accounts - Model reasoning through graded activation patterns and learned relational structure. ## Influencing Factors - Working-memory constraints via [[Working Memory]] and [[Executive Function]]. - Structural knowledge embedded in [[Knowledge Structures]]. - Linguistic framing, symbolic format, and representational medium. - Emotional context and motivational relevance through interactions with [[Emotion]] and [[Decision-Making]]. ## Methods - Logical judgment tasks (e.g., syllogisms, conditional reasoning). - Category induction and similarity-based generalization tasks. - Analogy and mapping paradigms using relational alignment measures. - Modeling through probabilistic inference, mental-model simulations, and rule-based systems. ## Applications - Scientific and mathematical inference. - Legal and moral judgment. - Everyday decision-making under uncertainty. - Educational approaches to improving critical thinking and argument evaluation.