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Representationalism: Consciousness as Representation

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Qualia and Phenomenal ConsciousnessIllusionism About Consciousness+3 moreMental Content and Aboutness: What Makes Thoughts About ThingsNarrow Content and Intrinsic Mental Properties
consciousness representation phenomenal-properties intentionality content

Core Idea

Representationalism claims phenomenal consciousness is a matter of representing the world as having certain properties. What it is like to see red is exhausted by representational content—your experience represents the object as red. This connects consciousness to intentionality and offers a strategy for understanding phenomenal properties through representational content.

Explainer

From your study of qualia and phenomenal consciousness, you know that conscious experiences have a distinctive "what-it-is-like" character — philosophers call this phenomenal character. The hard problem is explaining how any physical or functional process could give rise to that felt quality. Representationalism offers a specific answer: the phenomenal character of an experience just *is* its representational content. When you see a red apple, what makes that experience feel the way it does is that it represents the apple as red. There is nothing more to the redness of your experience beyond the fact that your visual system is representing redness in the world.

This connects two threads you have already studied. From intentionality, you know that mental states have aboutness — they point beyond themselves toward objects or properties in the world. From qualia, you know that experiences have intrinsic felt qualities. Representationalism says these are not two separate things. The intrinsic felt quality of an experience is just the property it represents its object as having. A pain experience, for instance, represents your body as being in a damaged-or-threatened state; its phenomenal character is the representation of that bodily condition.

The philosophical payoff is significant. If representationalism succeeds, it transforms the hard problem: instead of explaining how brain states produce a mysterious inner glow, we need only explain how brain states carry representational content — which is a question naturalistic theories of mental content are already equipped to address. Higher-order representationalism goes further, claiming that an experience is conscious when it is represented by a higher-order mental state (a thought or perception of the first-order state). First-order representationalism, associated with Fred Dretske and Michael Tye, says the phenomenal character is simply the first-order representational content itself, without any requirement for higher-order awareness.

The hardest challenge for representationalism comes from cases where phenomenal character and representational content seem to come apart. Consider inverted qualia: two people whose color experiences are systematically inverted (what looks red to you looks green to them) yet whose functional and behavioral dispositions are identical. If representational content is fixed by functional role, both people represent the same thing — yet intuitively their qualia differ. Representationalists typically respond either by denying the intuition is coherent or by appealing to tracking relations to environmental properties that would fix which properties are being represented. This debate leads naturally toward the topics of illusionism (consciousness is a representational illusion) and content externalism (what a state represents depends partly on its external environment), which build directly on the framework you have studied here.

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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 AlgebraBoolean Type and Truth ValuesComparison Operators and Boolean TestsLogical Operators and Boolean AlgebraBoolean Algebra and Fundamental LawsLogic Gates FundamentalsImplementing Boolean Functions with GatesKarnaugh Map SimplificationCombinational Circuit DesignFlip-Flops and LatchesFinite State Machines (FSMs)Deterministic Finite Automata (DFA)Nondeterministic Finite Automata (NFA)Two-Way Finite AutomataNFA to DFA Conversion (Subset Construction)DFA Properties and Minimization AlgorithmsRegular Languages: Definition and CharacterizationContext-Free Grammars (CFGs)Pushdown Automata (PDA)Equivalence of CFGs and Pushdown AutomataClosure Properties of Context-Free LanguagesLimitations of Context-Free LanguagesPumping Lemma for Context-Free LanguagesTuring MachinesVariants of Turing Machines and EquivalenceUniversal Turing Machine and Self-SimulationChurch-Turing Thesis and ComputabilityFunctionalismThe Hard Problem of ConsciousnessThe Knowledge Argument (Mary's Room)The Epistemic Gap in Consciousness StudiesPhenomenal Concepts and the Concept GapPhenomenal Consciousness and QualiaInverted Spectrum Thought ExperimentIllusionism About ConsciousnessRepresentationalism: Consciousness as Representation

Longest path: 104 steps · 642 total prerequisite topics

Prerequisites (5)

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