Abstract reasoning is the cognitive ability to identify patterns, relationships, and rules that aren’t tied to any specific physical object or sensory experience. In psychology, it’s considered one of the core higher-order thinking skills, essential for forming judgments, learning from experience, and drawing inferences. Where concrete thinking deals with what’s directly in front of you, abstract reasoning lets you work with concepts, hypotheticals, and possibilities that exist only in your mind.
How Abstract Reasoning Works
At its most basic level, abstract reasoning involves isolating a common feature or relationship from a set of observations and applying it more broadly. Your brain takes in specific instances, strips away the surface details, and extracts the underlying principle. When you notice that every time your manager schedules a late-afternoon meeting, the team’s morale drops, you’re abstracting a pattern from concrete events. When you then predict that a new late-afternoon meeting will have the same effect, you’re using that abstraction to reason forward.
This process depends heavily on what psychologists call relational integration: the ability to hold multiple pieces of information in working memory and combine them into a new, higher-level structure. Research in cognitive science has shown that what makes abstract reasoning demanding isn’t simply remembering several things at once. It’s the act of binding those things together into flexible relationships. The number of relationships you need to juggle at one time, not the number of individual items, is what determines how hard a reasoning problem feels.
Abstract Thinking vs. Concrete Thinking
The difference between abstract and concrete thinking is easiest to see through examples. A concrete thinker looking at someone with a frown and hunched shoulders registers the physical details: the facial expression, the posture. An abstract thinker reads those same cues and infers discomfort, anxiety, or depression. Both are processing the same visual information, but the abstract thinker is generating meaning beyond what’s directly observable.
Language offers another clear contrast. If someone says “turn over a new leaf,” a purely concrete interpretation would involve going outside and flipping a leaf. Abstract reasoning recognizes this as a metaphor for personal change. The ability to understand proverbs, metaphors, puns, and analogies all depends on moving past the literal surface of words to grasp the deeper idea underneath. The same applies to art. Looking at a painting, a concrete thinker might describe a woman in a pink dress and a house in the distance. An abstract thinker considers what the colors symbolize, what mood the composition evokes, and what the artist might be communicating about the human condition.
Its Role in Intelligence
Abstract reasoning is so central to psychology’s understanding of intelligence that it’s often used as a near-synonym for fluid intelligence, the ability to solve novel problems without relying on previously learned knowledge. Most influential models of human intelligence treat fluid reasoning as a core component, and the standard way to measure it is through tasks like matrix problems and visual analogies, both of which require identifying abstract patterns.
The connection between relational integration and fluid intelligence is strong. In one study using latent variable analysis, the ability to construct and integrate relational bindings in working memory correlated at .71 with fluid reasoning scores. This supports a broader theory: that human intelligence, at its foundation, reflects a general ability to build higher-level relational structures from simpler pieces of information, independent of any particular subject matter. You’re not smart because you know a lot of facts. You’re smart, in the fluid intelligence sense, because you can detect and manipulate abstract relationships.
When Abstract Reasoning Develops
Children don’t arrive with abstract reasoning fully formed. According to Jean Piaget’s developmental framework, children between ages 7 and 11 are in the concrete operational stage. They can use logic, but only when it’s grounded in tangible, visible things. They can sort objects by size or understand that pouring water into a taller glass doesn’t change its volume, but they can’t yet reason about hypothetical situations or ideas that have no physical anchor.
The shift happens in adolescence. Piaget’s formal operational stage, beginning around age 11 or 12, marks the point when young people start reasoning about possibilities rather than just realities. They can entertain “what if” scenarios, plan ahead by imagining future consequences, consider alternative explanations for events, and think systematically about abstract concepts. This is when higher-order understanding of metaphors, analogies, and complex moral reasoning begins to come online.
Brain imaging research fills in the biological side of this timeline. The rostrolateral prefrontal cortex (the most forward part of the brain’s outer surface) plays a key role in abstract thought, and it shows increasing specialization for relational reasoning tasks as children move from childhood into adulthood. In one neuroimaging study, the left rostrolateral prefrontal cortex became progressively more activated for complex relational problems between the ages of 8 and 12, and continued increasing into adulthood. This brain region has expanded significantly over the course of primate evolution, and its growth tracks closely with the emergence of abilities like problem solving, abstract rule use, and understanding other people’s mental states.
How It’s Measured
The most widely recognized test of abstract reasoning is Raven’s Progressive Matrices. You’re shown a grid of geometric patterns with one piece missing and asked to select the option that completes the pattern. No words, no numbers, no cultural knowledge required. The test isolates your ability to detect relationships among visual elements and extrapolate the underlying rule.
Raven’s Matrices have strong psychometric properties. Test-retest reliability ranges from .69 to .85, meaning scores are reasonably stable over time. Internal consistency (how well the items hang together as a single measure) is even higher, with coefficients between .88 and .93. The five sets of matrices all load heavily onto a single underlying factor, with loadings between .73 and .89, confirming that the test measures one coherent ability rather than a grab bag of different skills.
Other common measures include visual analogies, pattern completion tasks, and classification problems. What they share is a deliberate absence of content that could be memorized. They’re designed to measure how you think, not what you know.
When Abstract Reasoning Breaks Down
Impairments in abstract reasoning show up across several psychological and neurological conditions. Depression offers a particularly interesting case. Research published in JAMA Psychiatry found that depressed individuals made two characteristic types of errors on abstract reasoning tasks: they struggled to narrow down the set of possible solutions (a problem called poor “focusing”), and they perseverated on hypotheses that had already been disproven. Their basic logic, memory, and attention were intact when tested individually. The breakdown happened when they needed to coordinate all of these functions simultaneously in a complex task. In other words, the individual cognitive building blocks were fine, but the ability to integrate them into higher-order abstract reasoning was compromised.
Schizophrenia, traumatic brain injury (particularly to the frontal lobes), and certain neurodegenerative conditions also commonly involve deficits in abstract thinking. Clinicians often assess abstract reasoning as part of mental status exams, using tasks like proverb interpretation or similarities questions (“How are a dog and a lion alike?”). A person who can only respond concretely, saying “they both have four legs” rather than “they’re both animals,” may be showing signs of impaired abstraction.
Why It Matters Outside the Lab
Abstract reasoning has practical consequences well beyond psychology research. In occupational settings, general cognitive ability (which abstract reasoning heavily contributes to) is one of the strongest predictors of job performance. Meta-analyses incorporating hundreds of studies have found corrected correlations of around .50 to .60 between cognitive ability scores and job performance ratings. That relationship holds across job categories and countries, showing up in both U.S. and European studies.
This is why abstract reasoning tests are commonly used in hiring, particularly for roles that involve novel problem solving, strategic planning, or adapting to unfamiliar situations. The logic is straightforward: if a job regularly presents you with problems you haven’t seen before, your ability to detect patterns, generate rules, and apply them flexibly matters more than any specific body of knowledge you bring in the door. Abstract reasoning is, in essence, the capacity to figure things out from scratch, and that’s valuable in virtually every domain where the problems keep changing.