A topic in the Open Knowledge Graph — a free, open map of 15,290 topics and the order to learn them in.

Token Identity and Physical Realizability

College Depth 112 in the knowledge graph I know this Set as goal
3topics build on this
839prerequisites beneath it
See this on the map →
Type Identity TheoryMultiple RealizabilitySubstrate Independence and Multiple Realization
token-identity particulars realizability

Core Idea

Token identity theory holds that individual mental events are identical to individual physical events, even if mental types are not identical to physical types. This allows multiple realizability: the same mental type could be realized by different physical types in different creatures or systems.

Explainer

To understand token identity theory, you first need the type/token distinction from your prerequisite. A type is a general kind or pattern; a token is a specific instance of that kind. The word "cat" appears three times in this sentence: that's three *tokens* of one *type*. Applied to mental states: pain as a *type* is the general category; this particular pain I'm feeling right now is a *token* — a specific, dated mental event.

Type identity theory — your prerequisite — made the bold claim that mental types are identical to physical types: pain (as a kind) = C-fiber firing (as a kind). Every pain, anywhere, in any creature, would have to be realized by C-fiber firing. You know from multiple realizability why this fails: an octopus feels pain with completely different neural architecture; a silicon robot might experience pain with no neurons at all. The same mental type appears in wildly different physical substrates, so type-type identity is too rigid.

Token identity theory retreats to a more defensible position: each individual mental event is identical to some individual physical event, but the physical realizer can vary. *My* pain at 3pm on Tuesday is identical to *some specific neural event* in my brain — perhaps this particular C-fiber activation, or this pattern of distributed cortical activity. Your pain at a different time is identical to a different neural event. An octopus's pain is identical to yet another physical event, using entirely different biological hardware. There is no single physical type that all pains share; but every pain *token* is a physical event.

This move preserves physicalism — nothing mental happens without something physical happening — while respecting multiple realizability. It's a form of non-reductive physicalism: mental types don't reduce to physical types (no psychophysical type-type laws), but every mental particular is a physical particular. The mental and physical descriptions pick out the same events under different concepts. Token identity naturally underpins functionalism: what makes something a pain isn't its physical constitution but its functional role — what causes it, what it causes — and that role can be physically realized in multiple ways. This sets up the broader question of substrate independence: if token identity holds, could a sufficiently organized computer token the same mental events as a brain?

What did you take from this?

Topics in reflective domains aren't scored by quiz answers. Read, reflect, and mark when you've thought it through.

Quiz me anyway →

Prerequisite Chain

Understanding ZeroThe Number ZeroCounting to FiveCounting to 10Counting to 20Counting a Set of Objects Up to 20Cardinality: The Last Number CountedMatching Numerals to QuantitiesSubitizing Small QuantitiesAddition Within 10Number Bonds to 10Addition Within 20Doubles and Near DoublesDoubles Facts Within 10Near Doubles Facts Within 20Mental Math Strategies for AdditionMental Math: Adding and Subtracting TensAddition Within 100Repeated Addition as MultiplicationMultiplication as Equal GroupsMultiplication: ArraysBasic Multiplication Facts (0s, 1s, 2s, 5s, 10s)Multiplication Facts Within 100Division as Equal SharingDivision as Grouping (Measurement Division)Division: Grouping (Repeated Subtraction) ModelDivision: Fair Sharing ModelDivision as Equal SharingDivision as GroupingBasic Division FactsDivision Facts Within 100Multiplication and Division Fact FamiliesRelationship Between Multiplication and DivisionDivision Facts as Inverse of MultiplicationRemainders and Quotients in DivisionDivision Word ProblemsMulti-Step Word ProblemsSolving Multi-Step Word ProblemsMultiplication Word ProblemsDivision Word ProblemsIntroduction to Long DivisionFactors and MultiplesPrime and Composite NumbersEquivalent FractionsRelating Fractions and DecimalsDecimal Place ValueIntegers and the Number LineComparing and Ordering IntegersAbsolute ValueAdding IntegersSubtracting IntegersMultiplying IntegersIntroduction to ExponentsOrder of OperationsInteger Order of OperationsVariable ExpressionsThe Distributive PropertyVariables and Expressions ReviewIntroduction to PolynomialsAdding and Subtracting PolynomialsMultiplying PolynomialsFactorialPermutationsCombinationsCounting Principles: Addition and Multiplication RulesIntroduction to Graph TheoryPropositional Logic FoundationsLogical EquivalencesBoolean AlgebraIntroduction to Propositional LogicIntroduction to Predicate Logic (First-Order Logic)First-Order Logic SyntaxTerms and Atomic Formulas in FOLVariable Binding and ScopeOpen and Closed Formulas in First-Order LogicVariable Substitution and Capture-Avoidance in First-Order LogicQuantifier Instantiation Rules in First-Order Proof SystemsUniversal Quantification: Meaning and ScopeFree Variables and Bound VariablesSubstitution and Instantiation in Predicate LogicTerms and Atomic FormulasFormulas and Well-Formed ExpressionsStructures and InterpretationsModel Interpretation and SatisfactionInterpretation, Truth, and Satisfaction of FormulasLogical Consequence and EntailmentSoundness Theorem and Validity of Proof SystemsDeductive Reasoning and Formal Proof SystemsFirst-Order ResolutionPropositional ResolutionSemantic Tableaux (Propositional)Semantic Tableaux (First-Order)Decidable Fragments of First-Order LogicGödel's Completeness Theorem for First-Order LogicGödel's Incompleteness TheoremsIntroduction to Intuitionistic LogicIntroduction to Modal LogicModal Semantics: Necessity and PossibilityIntensionality and Possible Worlds SemanticsEvent SemanticsAktionsart (Lexical Aspect)Tense and Aspect in Formal SemanticsViewpoint Aspect (Perfective and Imperfective)Formal Semantics of Tense and TimeFormal Semantics of Modality and PossibilityPossible Worlds SemanticsModal Arguments in Philosophy of MindThe Mind-Body ProblemPhysicalism: The Core ThesisNon-Reductive PhysicalismReductive Physicalism and Mental ReductionType Identity TheoryToken Identity and Physical Realizability

Longest path: 113 steps · 839 total prerequisite topics

Prerequisites (2)

Leads To (1)