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Representationalism: Consciousness as Representation

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Qualia and Phenomenal ConsciousnessIllusionism About Consciousness+3 more→→Mental 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 Zero → The Number Zero → Counting to Five → Counting to 10 → Counting to 20 → Counting a Set of Objects Up to 20 → Cardinality: The Last Number Counted → Matching Numerals to Quantities → Subitizing Small Quantities → Addition Within 10 → Number Bonds to 10 → Addition Within 20 → Doubles and Near Doubles → Doubles Facts Within 10 → Near Doubles Facts Within 20 → Mental Math Strategies for Addition → Mental Math: Adding and Subtracting Tens → Addition Within 100 → Repeated Addition as Multiplication → Multiplication as Equal Groups → Multiplication: Arrays → Basic Multiplication Facts (0s, 1s, 2s, 5s, 10s) → Multiplication Facts Within 100 → Division as Equal Sharing → Division as Grouping (Measurement Division) → Division: Grouping (Repeated Subtraction) Model → Division: Fair Sharing Model → Division as Equal Sharing → Division as Grouping → Basic Division Facts → Division Facts Within 100 → Multiplication and Division Fact Families → Relationship Between Multiplication and Division → Division Facts as Inverse of Multiplication → Remainders and Quotients in Division → Division Word Problems → Multi-Step Word Problems → Solving Multi-Step Word Problems → Multiplication Word Problems → Division Word Problems → Introduction to Long Division → Factors and Multiples → Prime and Composite Numbers → Equivalent Fractions → Relating Fractions and Decimals → Decimal Place Value → Integers and the Number Line → Comparing and Ordering Integers → Absolute Value → Adding Integers → Subtracting Integers → Multiplying Integers → Introduction to Exponents → Order of Operations → Integer Order of Operations → Variable Expressions → The Distributive Property → Variables and Expressions Review → Introduction to Polynomials → Adding and Subtracting Polynomials → Multiplying Polynomials → Factorial → Permutations → Combinations → Counting Principles: Addition and Multiplication Rules → Introduction to Graph Theory → Propositional Logic Foundations → Logical Equivalences → Boolean Algebra → Boolean Type and Truth Values → Comparison Operators and Boolean Tests → Logical Operators and Boolean Algebra → Boolean Algebra and Fundamental Laws → Logic Gates Fundamentals → Implementing Boolean Functions with Gates → Karnaugh Map Simplification → Combinational Circuit Design → Flip-Flops and Latches → Finite State Machines (FSMs) → Deterministic Finite Automata (DFA) → Nondeterministic Finite Automata (NFA) → Two-Way Finite Automata → NFA to DFA Conversion (Subset Construction) → DFA Properties and Minimization Algorithms → Regular Languages: Definition and Characterization → Context-Free Grammars (CFGs) → Pushdown Automata (PDA) → Equivalence of CFGs and Pushdown Automata → Closure Properties of Context-Free Languages → Limitations of Context-Free Languages → Pumping Lemma for Context-Free Languages → Turing Machines → Variants of Turing Machines and Equivalence → Universal Turing Machine and Self-Simulation → Church-Turing Thesis and Computability → Functionalism → The Hard Problem of Consciousness → The Knowledge Argument (Mary's Room) → The Epistemic Gap in Consciousness Studies → Phenomenal Concepts and the Concept Gap → Phenomenal Consciousness and Qualia → Inverted Spectrum Thought Experiment → Illusionism About Consciousness → Representationalism: Consciousness as Representation

Longest path: 104 steps · 642 total prerequisite topics

Prerequisites (5)

Leads To (2)