What does connectionism mean?
Connectionism is a theoretical framework in cognitive science and artificial intelligence that explains mental activity as the product of large numbers of simple, interconnected processing units — an idea inspired by the architecture of the brain. Rather than treating thought as the manipulation of symbols according to explicit rules, connectionists represent knowledge as patterns of weighted connections among units, so that learning consists of adjusting those weights in response to experience. The approach gained momentum in the 1980s under the name parallel distributed processing, reviving earlier ideas about neural networks and eventually laying the groundwork for the deep learning systems that dominate modern AI. Connectionism remains a technical term of academic discourse, invoked most often in debates about how the mind works and whether intelligence is best described symbolically or as an emergent property of networks.
nounA theoretical approach in cognitive science and artificial intelligence which holds that mental processes can be modeled as patterns of activity across networks of simple, interconnected units (artificial neurons), rather than as symbolic rule-based operations.
- The school of thought in cognitive science and AI that models mental phenomena as emergent from networks of simple interconnected units.
- By extension, the broader research program of using artificial neural networks to explain or replicate intelligent behavior.
"Connectionism challenged classical symbolic AI by modeling cognition as the spread of activation through layered neural networks."
"Early connectionism drew inspiration from the brain, representing knowledge not as symbols but as weights on the connections between artificial neurons."
"The debate between connectionism and classicism dominated cognitive science journals throughout the late 1980s."
Connectionism's biggest triumph was a defeat of its rivals: when neural nets fell out of favor in the 1970s, few predicted they would return to power nearly every AI system we use today.
Reviewed by Deb Chak, Editor. AI-assisted content curated by RJS Tech Solutions LLP.
Etymology of connectionism
Connectionism derives from 'connection', ultimately from the Latin verb connectere ('to bind together'), formed from com- ('together') and nectere ('to bind'). The English word arose in the late nineteenth and early twentieth centuries, when psychologists used it to name Edward Thorndike's account of learning as the strengthening of stimulus–response bonds, sometimes called connectionism in that older sense. Its modern meaning took shape in the 1980s, when cognitive scientists applied the same root to networks of artificial neurons, coining related terms such as connectionist.
How connectionism is actually used
Connectionism is a technical term used almost exclusively in academic contexts — cognitive science, psychology, philosophy of mind, and machine learning. It carries no informal register and no strong connotation beyond scholarly debate; writers sometimes contrast it with 'symbolicism' or 'classicism' when framing competing theories of mind.
Easily confused with connectionism
Connectivism is a learning theory about knowledge distributed across social and digital networks, whereas connectionism is a computational theory of mind based on artificial neural networks.