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Functionalism

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Identity Theory (Type and Token)Philosophical Behaviorism+4 more→→Computational Theory of MindEliminative Materialism+10 more
functionalism Putnam Turing computational mental-states

Core Idea

Functionalism, developed by Hilary Putnam and others in the 1960s, holds that mental states are defined by their functional roles — their causal relations to sensory inputs, behavioral outputs, and other mental states — rather than by their physical constitution. Pain is whatever state is caused by tissue damage, causes distress and avoidance behavior, and interacts with beliefs and desires in characteristic ways. Because the functional role is what matters, mental states can in principle be realized by any physical (or non-physical) substrate that plays the right causal role, making functionalism compatible with strong AI and multiple realizability.

How It's Best Learned

Use the analogy of software and hardware: the same program can run on different physical machines. Functionalism says mental states stand to brain states as software stands to hardware. Then examine whether this analogy holds under pressure from consciousness objections (qualia, the Chinese Room).

Common Misconceptions

Explainer

When you studied behaviorism, you encountered the view that mental states are just behavioral dispositions — to say someone is in pain is just to say they tend to wince, withdraw, and say "ouch." When you studied identity theory, you encountered the view that mental states are identical to specific brain states — pain just *is* a particular type of C-fiber firing. Functionalism emerged as a synthesis and improvement on both: it accepts behaviorism's insight that mental states are characterized by their role, but grounds that role in *internal* causal structure, not just external behavior. And it accepts identity theory's insight that mental states are physically realized, without requiring that they be realized in one specific physical way.

The core functionalist idea is that mental states are defined by what they do, not what they are made of. Pain, for example, is whatever state is typically caused by tissue damage, causes distress and avoidance behavior, causes the belief that something is wrong, and motivates the desire for relief. If something plays that exact causal role — in your neurons, in an octopus's neurons, or in principle in a future computer — it qualifies as pain. The identity theorist would say only creatures with the right neurochemistry can feel pain; the functionalist says the neurochemistry is just one way to implement the relevant causal role.

Hilary Putnam developed the software/hardware analogy to make this vivid. A chess program doesn't care whether it runs on a 1970s mainframe or a modern laptop; what matters is that the machine correctly implements the program's logical structure. Mental states, on this view, are like programs — abstract functional descriptions that can be realized in different physical substrates. This is why functionalism opened the door to taking artificial intelligence seriously as a route to genuine minds: if minds are functional organizations, then any system that instantiates the right organization in principle has a mind.

Functionalism also faces serious challenges that you will explore in coming topics. The most powerful involves qualia — the subjective, felt quality of experience. Block's "absent qualia" thought experiment asks you to imagine the entire population of China organized to implement the functional organization of a human brain: is there anything it is like to be that system? Most people's intuition is no, which suggests that functional role may not be sufficient for consciousness. These objections motivate the Chinese Room argument and Chalmers's hard problem of consciousness, both of which accept the functionalist account of cognition while questioning whether it captures experience.

A final distinction worth keeping sharp: functionalism is not the claim that minds are computers. It is the claim that mental states are individuated by their causal roles — computation is one possible implementation of those roles, not the definition of them. A society of neurons implementing pain is doing something computational in a loose sense, but functionalism would apply equally to a hydraulic system or an alien biology that played the same causal role. This generality is functionalism's strength, and also the source of the hardest questions it must answer.

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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

Longest path: 96 steps · 621 total prerequisite topics

Prerequisites (6)

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