The Cognitive Revolution in Philosophy designates the mid‑20th‑century shift in primarily analytic philosophy from behaviorist and strictly linguistic models toward treating the mind as a legitimate, scientifically tractable object of inquiry, closely integrated with developments in cognitive psychology, linguistics, computer science, and neuroscience.
At a Glance
- Period
- 1950 – 1990
- Region
- North America, Western Europe, Anglophone world, Scandinavia, Israel
- Preceded By
- Logical Empiricism and Mid‑Century Analytic Philosophy
- Succeeded By
- Postcognitivism and Embodied, Embedded, Enactive, and Extended (4E) Approaches to Mind
1. Introduction
The Cognitive Revolution in Philosophy refers to a mid‑20th‑century reorientation, primarily within analytic philosophy, in which the mind, language, and cognition became central objects of inquiry, understood as amenable to rigorous, partly scientific treatment. Philosophers increasingly drew on linguistics, psychology, computer science, and later neuroscience, while maintaining characteristically analytic concerns with logic, meaning, and argument.
Earlier analytic work had often framed mentalistic vocabulary as suspect or reducible—either to behavioral dispositions or to the analysis of linguistic usage. During the Cognitive Revolution, by contrast, many philosophers adopted a realist and naturalistic stance toward mental states: thoughts, beliefs, and perceptions were treated as genuine, causally efficacious items that could be modeled in terms of representation, information processing, and computation.
A central strand of the period is often called classical cognitivism: the view that cognition consists of operations over internal, symbolic mental representations, organized in something like a computational architecture. Functionalist theories of mind, formal semantics for language, and naturalized approaches to epistemology developed in parallel and cross‑fertilized one another.
At the same time, the movement was not uniform. Some philosophers used cognitive‑scientific models to recast traditional problems—about knowledge, rationality, and intentionality—while others questioned the very legitimacy of modeling mind on computation or rule‑governed symbol manipulation. Phenomenological, hermeneutic, feminist, and later embodied and enactive approaches positioned themselves partly in dialogue and partly in opposition to the dominant cognitivist outlook.
The label “Cognitive Revolution in Philosophy” is thus a historiographical construct: it picks out a family of related shifts in methods, topics, and alliances with the empirical sciences. It does not denote a single doctrine or event, but a period in which philosophical reflection on mind and language became tightly interwoven with the formation of the cognitive sciences and with new conceptions of what it is for a theory to explain mental phenomena.
2. Chronological Boundaries
Historians typically situate the Cognitive Revolution in Philosophy between roughly 1950 and 1990, while acknowledging that its boundaries are porous and contested.
2.1 Starting Points
Several developments in the late 1950s and early 1960s are often treated as catalysts:
| Event / Work | Approx. Date | Philosophical Significance |
|---|---|---|
| Early AI and the Dartmouth Conference | 1956 | Helped popularize the idea of mind as an information‑processing system. |
| Chomsky’s review of Skinner’s Verbal Behavior | 1959 | Questioned behaviorism’s adequacy for explaining language, legitimizing internal structures and rules. |
| Quine’s Word and Object | 1960 | Reframed meaning and epistemology in naturalistic and holistic terms, setting a template for linking philosophy and empirical inquiry. |
| Rise of generative linguistics and cognitive psychology | Late 1950s–1960s | Provided concrete models of internal cognitive structure for philosophers to draw upon. |
Some commentators argue for earlier roots, pointing to Turing’s work in the 1930s–1950s or to mid‑century critiques of sense‑datum theories. Others emphasize a sharper break around 1960, when behaviorism and ordinary language philosophy visibly wane in influence.
2.2 Consolidation and High Period
The 1970s are commonly taken as the movement’s high period in philosophy:
- Functionalism becomes widely accepted as a theory of mind.
- Formal semantics and causal theories of reference reshape discussions of meaning.
- Philosophers such as Fodor, Putnam, Davidson, Kripke, and Lewis develop influential, explicitly cognitivist frameworks.
2.3 Endpoints and Overlaps
The late 1980s and early 1990s see the rise of:
| Development | Impact on Periodization |
|---|---|
| Connectionism and dynamical systems | Challenge symbolic, rule‑based models of cognition. |
| Embodied, enactive, and extended approaches | Question the sufficiency of internal representation‑centered accounts. |
| Social and externalist theories of content | Undermine strictly individualistic conceptions of mind. |
Some historians treat these as marking the end of the classical cognitivist era and the beginning of postcognitivist or 4E approaches. Others favor a more gradualist view, portraying the Cognitive Revolution as transforming rather than simply yielding to later developments.
Despite disagreement on precise dates, there is broad agreement that a distinct, representation‑centric and computationally inspired phase in analytic philosophy emerges after World War II and is substantially reconfigured by around 1990.
3. Historical and Scientific Context
The Cognitive Revolution in Philosophy unfolded against a background of major social, institutional, and scientific transformations.
3.1 Post‑War Institutions and Cold War Funding
After World War II, universities in North America and Western Europe expanded rapidly. Government agencies, especially in the United States, funded research with perceived strategic value, including:
| Domain | Example Relevance to Philosophy |
|---|---|
| Cybernetics & control systems | Provided early models of feedback, information, and computation. |
| Machine translation & linguistics | Encouraged formal models of language structure. |
| Human factors & perception research | Generated data about attention, memory, and decision‑making. |
Philosophy departments became increasingly analytic in orientation, and cross‑disciplinary centers—often labeled “cognitive science” only later—facilitated collaboration among philosophers, psychologists, computer scientists, and linguists.
3.2 Scientific Drivers
Several emerging disciplines provided both conceptual resources and empirical findings that philosophers integrated into their work:
- Generative linguistics (Chomsky) introduced the idea of an internalized grammar as a system of rules or principles, encouraging analogies between linguistic competence and other cognitive capacities.
- Cognitive psychology (e.g., Miller, Newell, Simon) replaced behaviorist stimulus–response models with information‑processing frameworks, emphasizing internal memory stores, representations, and problem‑solving procedures.
- Computer science and AI offered formal models of algorithmic processing, search, and representation, prompting philosophers to view minds as computational systems.
- Early cognitive neuroscience and neurophysiology suggested ways in which representational and computational descriptions might be realized in the brain.
3.3 Cultural and Intellectual Climate
Broader cultural currents also shaped the philosophical landscape:
| Factor | Influence on Cognitive Themes |
|---|---|
| Public fascination with computers and automation | Made computational metaphors for mind salient and intuitively appealing. |
| Debates over rationality during the Cold War | Focused attention on formal decision theory, logic, and scientific explanation. |
| Secularization and naturalism | Encouraged physicalist and scientifically oriented accounts of mind over dualist or spiritual explanations. |
Philosophers operated within a milieu that increasingly valorized science as a paradigm of knowledge. This fed into projects such as naturalized epistemology, neurophilosophy, and scientifically informed theories of language and mental content, while also provoking reactions from traditions wary of scientism or reductionism.
4. The Zeitgeist of the Cognitive Revolution
The period’s intellectual “feel” is often characterized by a distinctive blend of scientific optimism, formal rigor, and philosophical naturalism, alongside persistent debate about the limits of these commitments.
4.1 Confidence in Formal and Scientific Methods
Many philosophers shared a sense that questions about mind and language could be addressed using tools akin to those of the exact sciences:
- Formal logic and model theory were applied to semantics and modality.
- Computation and information‑theoretic concepts were extended to mental processes.
- Theories were expected to interface with empirical results from psychology and linguistics.
This generated a climate in which interdisciplinary fluency was prized. Philosophers increasingly read technical work in syntax, automata theory, and cognitive modeling, and some participated directly in empirical research programs.
4.2 Centrality of Representation and Computation
A widely shared assumption held that cognitive systems are best understood through the lens of representation and computation. Even philosophers critical of classical cognitivism often framed their objections in terms of:
- what kinds of representations were posited,
- how they were manipulated,
- whether computational descriptions could be complete.
The resulting debates presupposed a common vocabulary—of symbols, information, content, and processing—that structured much of the era’s work.
4.3 Naturalism and Anti‑Skeptical Orientations
The zeitgeist favored naturalistic approaches. Philosophers such as Quine and Sellars questioned sharp divides between philosophy and science, and many viewed traditional epistemology or metaphysics with suspicion unless tied to empirical inquiry.
Skepticism was often reinterpreted as a psychological or cognitive problem rather than a purely a priori challenge: understanding how agents actually form beliefs and interact with their environments was taken to illuminate, and perhaps defuse, classic skeptical scenarios.
4.4 Tensions and Dissenting Currents
Alongside this optimism, there were currents of resistance:
| Current | Characteristic Concerns |
|---|---|
| Phenomenological and existential strands | Emphasized lived experience, embodiment, and meaning as potentially underdescribed by computational models. |
| Ordinary language and hermeneutic traditions | Questioned the applicability of scientific or formal methods to everyday concepts and practices. |
| Early feminist and critical theory critiques | Drew attention to social, political, and gendered dimensions of cognition and rationality that abstract models tended to ignore. |
The period’s zeitgeist can thus be seen as one of constructive tension: a prevailing confidence in scientifically informed, representational accounts of mind, accompanied by recurring doubts about whether such accounts could capture intentionality, normativity, and consciousness in full.
5. From Behaviorism to Cognitivism
A defining transformation of the period was the shift from behaviorist explanations of human action and language to cognitivist models positing inner states and processes.
5.1 Behaviorism’s Appeal and Limits
In mid‑20th‑century psychology and some philosophical circles, radical behaviorism held that scientific theories should refer only to observable behavior and its environmental causes. Mentalistic notions such as beliefs or meanings were treated as shorthand for behavioral dispositions.
Philosophical sympathizers valued behaviorism for its:
- apparent empirical rigor,
- avoidance of dubious inner entities,
- compatibility with verificationist standards.
However, several difficulties became increasingly salient:
| Problem Area | Typical Concern |
|---|---|
| Language learning and creativity | Explaining novel, rule‑governed utterances without internalized grammar or rules. |
| Complex reasoning | Accounting for problem‑solving and planning purely via stimulus–response chains. |
| Theoretical entities | Reconciling behaviorist scruples with the acceptance of unobservable posits in other sciences (e.g., physics). |
5.2 Philosophical and Scientific Critiques
Key critiques emerged on both philosophical and scientific fronts:
- Chomsky’s critique of Skinner argued that behaviorist reinforcement could not plausibly explain children’s rapid acquisition of syntactic competence or the unbounded productivity of language.
- Sellars and others challenged the idea that observational statements form an incorrigible foundation for knowledge, undermining simple sense‑datum and behaviorist epistemologies.
- Quine’s work reshaped empiricism in a way that relaxed strict behaviorist prohibitions, allowing posits of internal states when explanatory fruitful.
These critiques supported a more liberal ontology for cognitive science and philosophy, while still insisting that such posits be empirically constrained.
5.3 Emergence of Cognitivism
Cognitivism proposed that:
- Internal representational states carry information about the world.
- Cognitive processes are forms of computation over such representations.
- Explanations of behavior should reference these internal structures and operations.
In philosophy of mind, identity theory and later functionalism articulated how mental states might figure in a physicalist framework without collapsing into behaviorism. In linguistics and psychology, rule‑based and information‑processing models gave concrete form to cognitivist assumptions.
5.4 Continuities and Revisions
Some commentators view cognitivism as a revision rather than a rejection of behaviorism: observable behavior remained central as data, but hypotheses about hidden mechanisms were now permitted, much as in other sciences. Others emphasize the conceptual break involved in reinstating intentionality, structure‑sensitive processing, and mental causation as primary explanatory tools.
Debates throughout the period often turned on how far one could move beyond behaviorist strictures without reintroducing metaphysically problematic “inner theaters” of the mind.
6. Central Philosophical Problems
During the Cognitive Revolution, several interrelated philosophical questions crystallized as central, often serving as common reference points across different schools.
6.1 Mental Representation and Content
Philosophers sought to explain how mental states could be about the world:
- Internalist accounts (e.g., conceptual role or functional role semantics) tied content to a state’s role within an agent’s cognitive system.
- Externalist accounts associated content partly with causal, informational, or social relations between agents and their environments.
- Teleosemantic theories later attempted to ground content in evolutionary or functional roles.
Disputes focused on what makes a state represent this object or property rather than another, and how misrepresentation is possible.
6.2 Mind–Body Relation and Mental Causation
Within a broadly physicalist climate, philosophers debated:
| View | Core Claim |
|---|---|
| Identity theory | Some mental states are identical with brain states. |
| Functionalism | Mental states are individuated by causal roles, not physical makeup. |
| Anomalous monism and non‑reductive physicalism | Mental events are physical, yet mental descriptions do not fall under strict laws. |
Questions arose about whether mental properties are causally efficacious, whether they can be reduced to physical properties, and how to avoid both dualism and epiphenomenalism.
6.3 Meaning, Reference, and Language–Thought Relations
Philosophy of language intertwined with philosophy of mind:
- Theories of reference (for names and natural kind terms) examined how words latch onto objects and kinds.
- Debates over indexicals, context, and speaker intentions shaped accounts of propositional content.
- Relations between linguistic meaning and mental representation were explored, with some arguing for a tight alignment and others for more autonomous conceptual structures.
These discussions influenced, and were influenced by, emerging theories of mental content and externalism.
6.4 Rationality, Architecture, and Inference
Philosophers engaged with questions about:
- How logical inference and practical reasoning are implemented in cognitive systems.
- Whether cognition is best modeled as symbolic and rule‑based or as connectionist and distributed.
- The structure of concepts and the nature of tacit knowledge of rules.
Issues of bounded rationality, heuristics, and cognitive biases further complicated traditional accounts of reasoning.
6.5 Intentionality, Consciousness, and Explanatory Limits
As representational and functionalist perspectives gained ground, some philosophers argued that:
- Intentionality could be fully captured in naturalistic terms.
- Consciousness might be understood as higher‑order representation or as a functional role.
Others contended that qualia, subjectivity, or normativity revealed an explanatory gap in purely physicalist or computational models. Arguments based on inverted qualia, zombies, and similar thought experiments began to appear, framing later debates about the scope of cognitive‑scientific explanation.
7. Major Schools and Approaches
The Cognitive Revolution in Philosophy encompassed several influential, though overlapping, schools and research programs.
7.1 Analytic Philosophy of Mind and Language
Within mainstream analytic philosophy, work on mind and language became deeply interconnected:
| Focus | Representative Themes |
|---|---|
| Philosophy of language | Theories of reference, truth‑conditions, and formal semantics. |
| Philosophy of mind | Theories of mental states, functionalism, and mental causation. |
Figures associated with this current often treated semantic and mental content as two facets of a unified subject matter, sometimes with language as primary, sometimes thought.
7.2 Functionalism and Computationalism
Functionalism and the computational theory of mind offered a framework within which mental states were:
- characterized by their causal roles in a system,
- modeled as computational states in an information‑processing architecture.
Within this broad umbrella, approaches varied:
| Approach | Distinctive Feature |
|---|---|
| Classical symbolic models | Emphasize rule‑governed manipulation of discrete symbols. |
| Language of Thought hypothesis | Postulates an internal combinatorial code underlying thought. |
| Modular theories | Propose domain‑specific, encapsulated subsystems for perception, language, etc. |
These approaches were influential both philosophically and in early AI and cognitive psychology.
7.3 Naturalized Epistemology and Naturalism
Some philosophers advocated naturalized epistemology, proposing that questions about justification and knowledge be recast as empirical questions about cognitive agents. More broadly, naturalism encouraged:
- continuity between philosophy and the sciences,
- suspicion toward non‑naturalistic or purely a priori accounts.
Within this framework, theories of perception, belief formation, and scientific reasoning were tied closely to cognitive science and psychology.
7.4 Formal Semantics and Pragmatics
Drawing on logic and model theory, formal semantics sought systematic accounts of:
- truth conditions,
- reference,
- compositional structure of sentences.
Pragmatic theories focused on how speaker intentions, context, and conversational norms shape meaning. These developments provided tools for connecting linguistic meaning with mental content, and for modeling propositional attitudes in fine‑grained ways.
7.5 Naturalistic Theories of Content
Several naturalistic programs emerged to explain mental and linguistic content:
| Program | Central Idea |
|---|---|
| Informational semantics | Content supervenes on reliable causal or informational correlations. |
| Teleosemantics | Content depends on the evolved or proper functions of representational states. |
| Use‑ and practice‑based accounts | Content is grounded in social practices and patterns of use. |
These approaches differed over whether content is fundamentally individualistic, environmental, or social, and over how normativity enters into a naturalistic picture.
7.6 Critical and Alternative Currents
Alongside these dominant currents were alternative approaches:
- Phenomenological and existential perspectives engaging with cognitive science while emphasizing embodiment and lived experience.
- Ordinary language and hermeneutic traditions that resisted the assimilation of meaning and understanding to information processing.
- Early feminist and social epistemologies questioning individualistic and gender‑neutral assumptions about cognition.
These currents did not define schools in the same institutional sense but provided important counterpoints to the dominant cognitivist frameworks.
8. Key Figures and Intellectual Networks
The Cognitive Revolution in Philosophy was shaped by clusters of figures connected through universities, conferences, journals, and interdisciplinary centers.
8.1 Analytic Mind–Language Nexus
A central network involved philosophers working primarily on mind and language:
| Figure | Main Affiliations (period) | Noted Contributions to the Revolution |
|---|---|---|
| Hilary Putnam | Harvard, later MIT | Functionalism, externalism, critique of behaviorism. |
| Jerry Fodor | MIT, CUNY | Language of Thought, modularity of mind, representational theories. |
| Donald Davidson | Stanford, UC Berkeley | Anomalous monism, theory of action, radical interpretation. |
| Saul Kripke | Princeton, CUNY | Causal theories of reference, modal metaphysics. |
| David Lewis | UCLA, Princeton | Counterfactuals, properties, and systematic metaphysics with implications for mind and language. |
Their work often cross‑referenced and sometimes explicitly debated each other’s positions, contributing to a dense, self‑conscious research community.
8.2 Cognitive Science and AI Catalysts
Interdisciplinary figures helped anchor philosophy to the emerging cognitive sciences:
| Figure | Field | Philosophical Relevance |
|---|---|---|
| Noam Chomsky | Linguistics | Internal grammar, competence/performance distinction, nativism. |
| Allen Newell & Herbert Simon | AI & psychology | Physical symbol system hypothesis, problem‑solving models. |
| George Miller | Psychology | Limits of short‑term memory, information‑processing psychology. |
| Marvin Minsky | AI | Early symbolic AI architectures and discussions of machine intelligence. |
Philosophers engaged with their models both as data sources and as conceptual frameworks for theorizing about cognition.
8.3 Naturalistic and Neurophilosophical Networks
Another cluster centered on naturalism, information, and later neuroscience:
| Figure | Emphasis |
|---|---|
| W. V. O. Quine | Naturalized epistemology, rejection of analytic–synthetic distinction. |
| Wilfrid Sellars | Critique of the “myth of the given,” scientific image vs. manifest image. |
| Fred Dretske | Informational semantics, epistemology informed by psychology. |
| Patricia & Paul Churchland | Neurophilosophy, eliminative materialism, neural network models. |
These thinkers often interacted via conferences and journals bridging philosophy, psychology, and neuroscience.
8.4 Critics and Alternatives
Critical engagement came from various quarters:
| Figure | Orientation | Type of Critique |
|---|---|---|
| Hubert Dreyfus | Phenomenology, Heidegger | Skepticism about symbolic AI, emphasis on embodied skill. |
| John Searle | Philosophy of mind & language | Critique of strong AI, biological naturalism, speech‑act theory. |
| Daniel Dennett | Naturalistic philosophy of mind | Intentional stance, instrumentalism about beliefs, critical but also supportive of cognitivist projects. |
| Maurice Merleau‑Ponty (posthumously) | Phenomenology | Embodiment and perception as challenges to disembodied cognitivism. |
Their work circulated widely in philosophical and cognitive‑scientific venues, ensuring that alternative viewpoints remained part of the era’s conversation.
8.5 Institutional and Geographic Patterns
The networks were concentrated in:
- North American institutions (MIT, Harvard, Princeton, Berkeley, Carnegie Mellon),
- British universities (Oxford, Cambridge, London),
- European and Israeli centers where analytic and cognitive‑scientific traditions intersected.
Workshops, summer schools, and interdisciplinary programs—often under the banner of cognitive science, linguistics, or AI—served as hubs for cross‑fertilization between philosophers and scientists, reinforcing the movement’s transdisciplinary character.
9. Landmark Texts and Debates
Certain works and associated debates became touchstones for the Cognitive Revolution in Philosophy, shaping subsequent discussions across multiple subfields.
9.1 Seminal Texts
| Work | Author | Main Philosophical Impact |
|---|---|---|
| “Review of B. F. Skinner’s Verbal Behavior” (1959) | Noam Chomsky | Challenged behaviorist accounts of language, legitimizing internal mental structure. |
| Word and Object (1960) | W. V. O. Quine | Recast meaning and epistemology in naturalistic terms, questioning traditional analytic–synthetic distinctions. |
| Naming and Necessity (1972, lectures; 1980, book) | Saul Kripke | Introduced rigid designation and causal theories of reference, reshaping semantics and metaphysics. |
| The Language of Thought (1975) | Jerry Fodor | Articulated a systematic symbolic model of thought, central to classical cognitivism. |
| “The Intentional Stance” and related essays (1970s) | Daniel Dennett | Developed a pragmatic, predictive account of belief and desire ascription. |
Other influential volumes included Putnam’s essays on mind and semantics, Davidson’s papers on action and interpretation, and works by Dretske and Millikan on content.
9.2 Reference and Externalism Debates
Kripke’s and Putnam’s work sparked extensive debate on:
- Whether reference is determined by descriptions in speakers’ heads or by causal–historical chains.
- How natural kind terms (e.g., “water”) depend on underlying physical structure.
- Whether the contents of mental states are individualistic or depend on social and environmental contexts.
These debates fed directly into content externalism and reoriented discussions about mental representation.
9.3 Functionalism, Identity, and Mental Causation
Landmark debates concerned:
| Topic | Central Questions |
|---|---|
| Identity vs. functionalism | Are mental states identical with brain states or multiply realizable roles? |
| Mental causation | Can non‑reductive physicalism avoid epiphenomenalism? |
| Anomalous monism | How can mental events be physical without strict psychophysical laws? |
Different solutions highlighted tensions between metaphysical parsimony, explanatory adequacy, and respect for everyday psychological explanations.
9.4 Naturalizing Content and Cognition
Works by Dretske, Millikan, and others introduced informational and teleological accounts of content, provoking debate over:
- how normativity and misrepresentation can arise in naturalistic frameworks,
- whether information suffices for content,
- the roles of evolutionary history and current function.
These debates intersected with concerns about explanatory levels and the relationship between psychology and neuroscience.
9.5 Consciousness, Qualia, and the Explanatory Gap
By the 1980s, several texts and discussions focused on:
- whether functionalism could account for qualitative experience,
- arguments from inverted qualia, zombies, and related thought experiments,
- higher‑order and representational theories of consciousness.
Although many of the most prominent consciousness debates blossomed after 1990, their conceptual roots—including the worry about an explanatory gap between physical processes and experience—were established during the later years of the Cognitive Revolution.
10. Philosophy and the Emerging Cognitive Sciences
The Cognitive Revolution in Philosophy was deeply entangled with the simultaneous formation of the cognitive sciences as a set of interlocking disciplines.
10.1 Mutual Influence: Philosophy and Cognitive Psychology
Cognitive psychology’s shift to information‑processing models offered philosophers:
- empirical support for the existence of internal representations,
- concrete architectures (e.g., stages of memory, problem‑solving routines) to map onto philosophical theories.
In return, philosophical analyses of rationality, modularity, and mental representation helped shape experimental paradigms and theoretical debates in psychology, such as the distinction between competence and performance or the nature of cognitive architecture.
10.2 Linguistics and Formal Models of Mind
Generative linguistics provided detailed models of syntactic and later semantic structure:
| Linguistic Concept | Philosophical Relevance |
|---|---|
| Universal grammar | Informed debates about innateness and modularity. |
| Transformational rules | Inspired rule‑based views of cognitive processing. |
| Deep vs. surface structure | Suggested layered representational formats in cognition. |
Philosophers drew on these models to argue for internal languages of thought, to motivate modular accounts of mind, and to refine theories of meaning and content.
10.3 Artificial Intelligence and Computational Theories
AI research offered both proof‑of‑concept demonstrations and theoretical frameworks:
- Symbolic AI systems exemplified how rule‑based manipulation of symbols could produce complex behavior.
- The physical symbol system hypothesis was sometimes cited as a candidate general theory of intelligent action.
Philosophers debated whether successes in AI vindicated computational theories of mind, and whether machines running the right programs could possess genuine beliefs, understanding, or consciousness. Arguments such as Searle’s “Chinese Room” emerged from this interface.
10.4 Neuroscience and Neurophilosophy
Advances in neuroscience suggested possible neural correlates of cognitive functions. Some philosophers, particularly in the 1980s, argued that:
- cognitive theories should be tightly integrated with brain science,
- traditional propositional or rule‑based accounts might be superseded by neural network or connectionist models.
This generated discussions over the appropriate level of explanation for cognitive phenomena: whether psychology and philosophy should focus on computational/representational descriptions, neural mechanisms, or both.
10.5 Institutionalization of Cognitive Science
Interdisciplinary programs, journals, and conferences under the banner of cognitive science institutionalized collaboration:
| Institutional Form | Philosophical Role |
|---|---|
| Cognitive science departments and centers | Employed philosophers as core faculty alongside scientists. |
| Journals and conferences | Provided venues where philosophical arguments and empirical reports interacted directly. |
Philosophers active in these contexts often framed their work explicitly as part of a joint enterprise to understand cognition, reshaping both the content and the self‑conception of philosophy during the period.
11. Critiques and Alternatives to Classical Cognitivism
While classical cognitivism was influential, it faced sustained criticism and the development of alternative frameworks, especially from the late 1970s onward.
11.1 Phenomenological and Embodiment‑Oriented Critiques
Phenomenologically inspired philosophers argued that classical models:
- underplayed the embodied and situated character of cognition,
- overlooked practical know‑how and skillful coping that resist representation as rule following.
Dreyfus, drawing on Heidegger and Merleau‑Ponty, contended that symbolic AI and rule‑based approaches could not capture the flexible, context‑sensitive nature of human expertise. Proponents of these critiques emphasized sensorimotor engagement and world‑involving practices over internal symbol manipulation.
11.2 Ordinary Language and Hermeneutic Concerns
From ordinary language and hermeneutic perspectives, classical cognitivism was said to:
- misconstrue meaning and understanding as internal content states rather than as embedded in social and linguistic practices,
- conflate explanations appropriate to natural science with those suited to interpretive understanding.
These critics favored attention to everyday uses of mentalistic terms, narratives, and norm‑governed practices, sometimes resisting the extension of computational metaphors to all forms of cognition.
11.3 Challenges from Connectionism and Dynamical Systems
Within cognitive science itself, connectionist models and, later, dynamical systems approaches provided empirical and theoretical alternatives:
| Approach | Key Points of Tension with Classical Cognitivism |
|---|---|
| Connectionism | Emphasizes distributed representations and learning over explicit rules and symbols. |
| Dynamical systems | Models cognition as continuous, time‑evolving processes coupled with environment. |
Some philosophers interpreted these developments as evidence against symbolic, language‑of‑thought models. Others sought hybrid theories that integrate symbolic and sub‑symbolic levels.
11.4 Social, Feminist, and Critical Theory Perspectives
Social and feminist epistemologists, as well as critical theorists, argued that classical cognitivism:
- focused excessively on individual cognition, neglecting social and institutional structures,
- treated rationality as ahistorical and gender‑neutral, potentially obscuring power relations and situated knowledge,
- risked supporting technocratic or instrumental conceptions of reason.
Alternative approaches highlighted collective cognition, standpoint, and discursive practices, suggesting that cognition cannot be fully understood without attention to social context.
11.5 Limits of Computational and Representational Models
Across these critiques, a common theme concerned the limits of computational and representational explanations. Critics questioned whether:
- all intelligent behavior depends on internal representations,
- normativity, meaning, and consciousness can be reduced to or fully explained by information processing,
- cognitive science should be modeled on computer science or on biology, phenomenology, or social theory instead.
Responses from classical cognitivists ranged from revisions (e.g., adding multiple levels of representation) to defenses of computationalism’s scope, framing debates that would carry into postcognitivist and 4E approaches.
12. Transition to Postcognitivist and 4E Approaches
By the late 1980s, the landscape that had crystallized during the Cognitive Revolution began to shift toward what is often called postcognitivism, including 4E approaches that view cognition as embodied, embedded, enactive, and extended.
12.1 Emergence of Postcognitivist Themes
Several developments contributed to this transition:
| Development | Postcognitivist Implication |
|---|---|
| Connectionist and neural network models | Suggested cognition might be sub‑symbolic, graded, and distributed, complicating language‑of‑thought pictures. |
| Dynamical and ecological approaches | Emphasized real‑time interaction between agent and environment. |
| Embodiment research | Highlighted the role of bodily structures and sensorimotor routines in shaping cognition. |
Philosophers began to question the assumption that cognition is primarily inner information processing over discrete representations.
12.2 4E Cognition: Core Ideas
Though fully developed 4E frameworks matured after 1990, their conceptual precursors appeared during the later phase of the Cognitive Revolution:
- Embodied cognition: Argues that bodily form and movement are integral to cognitive processes, not merely peripheral input channels.
- Embedded cognition: Stresses how environmental structure and affordances simplify and shape cognitive tasks.
- Enactive cognition: Portrays cognition as active world‑involving sense‑making, rather than passive representation of a pre‑given world.
- Extended cognition: Proposes that cognitive processes can span brain, body, and external artifacts.
Early formulations, for instance in work by Varela, Clark, and others, drew on both empirical findings and philosophical critiques of representationalism.
12.3 Rethinking Representation and Computation
Postcognitivist approaches often sought to:
- minimize or reconceptualize internal representation (e.g., treating it as emergent or action‑guiding rather than mirror‑like),
- reconceive computation in more dynamical or continuous terms, or to decenter it in favor of coupled system descriptions.
Nonetheless, some theorists argued for retaining representational and computational notions at certain levels, while expanding the explanatory toolkit to include embodied interaction and environmental scaffolding.
12.4 Continuities and Breaks with the Cognitive Revolution
Interpretations of this transition vary:
- Some view 4E and related approaches as a radical break, rejecting the core assumptions of classical cognitivism.
- Others present them as extensions or refinements, broadening the notion of cognitive architecture established during the Cognitive Revolution.
In either case, debates about where cognition is located, how it is structured, and what counts as a satisfactory explanation shifted away from an almost exclusive focus on internal, symbol‑manipulating processes toward a more systemic and interaction‑oriented picture of mind.
13. Legacy and Historical Significance
The Cognitive Revolution in Philosophy left a durable imprint on both philosophical practice and the broader understanding of mind and language.
13.1 Institutional and Disciplinary Legacy
Philosophy of mind and philosophy of language became established as central subfields within analytic philosophy, with:
- dedicated journals and conferences,
- specialized graduate training,
- close ties to psychology, linguistics, AI, and neuroscience.
Interdisciplinary collaboration with the cognitive sciences became a standard expectation rather than an exception, reshaping how many philosophers conceive their discipline’s relation to empirical research.
13.2 Conceptual Contributions
The period bequeathed a shared conceptual vocabulary:
| Concept | Enduring Role |
|---|---|
| Mental representation and content | Central to discussions of perception, cognition, and language. |
| Computation and information processing | Widely used metaphors and models for explaining cognitive functions. |
| Functionalism and modularity | Standard frameworks for theorizing cognitive architecture. |
| Externalism and naturalism | Baseline assumptions or important options in debates over mind and meaning. |
These notions continue to structure discussions even among critics of classical cognitivism.
13.3 Setting the Stage for Later Debates
Unresolved tensions from the era—about:
- the nature of consciousness and qualia,
- the extent of mental representation,
- the relationship between individual and social aspects of cognition,
- the interplay between neural and computational levels—
provided starting points for subsequent work in 4E cognition, social and extended mind theories, and renewed metaphysical and epistemological debates.
13.4 Historiographical Assessments
Historians and philosophers of cognitive science generally regard the Cognitive Revolution in Philosophy as:
- a pivotal reorientation that integrated mind and language with scientific approaches,
- yet internally diverse, encompassing both representationalist and critical currents.
Some emphasize its continuities with earlier analytic traditions, such as the focus on logic and language; others stress its transformative aspects, including the robust reintroduction of mental states as legitimate theoretical posits. Many also note its Anglocentric bias, foregrounding developments in the Anglophone world while only partially integrating contemporaneous work in other traditions.
Despite these caveats, the period is widely seen as having redefined the agenda and methods of contemporary philosophy of mind and language, establishing the background against which later postcognitivist and 4E approaches developed.
Study Guide
Cognitive Revolution (in philosophy)
A mid‑20th‑century shift in analytic philosophy away from behaviorism and narrow linguistic analysis toward treating mind, language, and cognition as internal, scientifically tractable phenomena, closely integrated with cognitive science.
Classical Cognitivism
The view that cognition consists of computational operations over internal, symbolic representations, often described in terms of rules, algorithms, and a language‑like mental code.
Functionalism (philosophy of mind)
The theory that mental states are individuated by their causal roles within a system—how they relate inputs, other internal states, and outputs—rather than by their specific physical realization.
Mental Representation and Content
Internal states or structures that stand for or are about objects, properties, or states of affairs, typically characterized by having content that can be correct or incorrect (true or false, accurate or inaccurate).
Computational Theory of Mind
The broad view that cognitive processes are forms of computation, usually understood as rule‑governed manipulation of representations implemented in the brain or cognitive system.
Externalism about Mental Content
The thesis that the content of some mental states depends partly on factors outside the individual’s head—such as the physical environment or social practices—rather than solely on internal states.
Naturalized Epistemology and Naturalism
Quine’s and related programs that recast questions about knowledge, justification, and rationality as empirical questions about how cognitive systems actually form and revise beliefs, often minimizing or reinterpreting traditional a priori methods.
Connectionism and 4E Cognition
Connectionism models cognition via networks of simple, neuron‑like units whose behavior emerges from weighted connections; 4E cognition (embodied, embedded, enactive, extended) emphasizes the bodily, environmental, active, and distributed dimensions of cognitive processes.
In what ways does the shift from behaviorism to cognitivism change what counts as a legitimate explanation of human behavior?
How did the emergence of generative linguistics and early AI support the computational theory of mind, and what philosophical assumptions were built into these scientific models?
Compare internalist and externalist accounts of mental content. To what extent can we determine what someone thinks ‘from the skin in’?
Can functionalism and classical cognitivism adequately account for consciousness and qualitative experience, or is there an explanatory gap?
To what degree should philosophy of mind and language be ‘naturalized’? What, if anything, is lost when epistemology and semantics are treated as branches of cognitive science?
How do connectionism and dynamical systems approaches challenge the core assumptions of classical, symbolic cognitivism?
Is 4E cognition best understood as a radical break with, or as a natural extension of, the Cognitive Revolution in Philosophy?
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Philopedia. (2025). Cognitive Revolution in Philosophy. Philopedia. https://philopedia.com/periods/cognitive-revolution-in-philosophy/
"Cognitive Revolution in Philosophy." Philopedia, 2025, https://philopedia.com/periods/cognitive-revolution-in-philosophy/.
Philopedia. "Cognitive Revolution in Philosophy." Philopedia. Accessed December 11, 2025. https://philopedia.com/periods/cognitive-revolution-in-philosophy/.
@online{philopedia_cognitive_revolution_in_philosophy,
title = {Cognitive Revolution in Philosophy},
author = {Philopedia},
year = {2025},
url = {https://philopedia.com/periods/cognitive-revolution-in-philosophy/},
urldate = {December 11, 2025}
}