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Libertarian Free Will

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Free Will and DeterminismAgent Causation+1 more→
libertarianism agent causation indeterminism free will incompatibilism

Core Idea

Libertarianism about free will is the incompatibilist view that agents do have genuine free will, which requires that determinism is false. On this view, free actions are neither fully determined by prior causes nor are they random — they originate in the agent as a genuine cause. Agent causation theories (Chisholm, O'Connor) hold that persons are irreducible causal powers that initiate action from themselves. Event-causal indeterminist views locate indeterminacy in neural processes but struggle to explain why quantum randomness amounts to control rather than mere chance. Libertarianism is empirically constrained by physics and neuroscience.

How It's Best Learned

Read Chisholm's 'Human Freedom and the Self' for the agent-causation version, then Kane's The Significance of Free Will for an event-causal approach. Assess whether either avoids the 'luck objection' — that indeterminate events are lucky, not free.

Common Misconceptions

Explainer

From your study of free will and determinism, you understand the central challenge: if every event — including every brain state and decision — is fully determined by prior physical causes plus the laws of nature, then in what sense could you have done otherwise? The incompatibilist answers that you couldn't have, and draws the conclusion that genuine free will is incompatible with determinism. At this fork in the road, there are two incompatibilist responses: hard determinism (determinism is true, therefore we lack free will) and libertarianism about free will (we do have free will, therefore determinism must be false for at least some actions).

Libertarianism thus stakes a bold empirical and metaphysical claim: the causal history of a free action is not fully deterministic. But this immediately faces what is sometimes called the luck objection. If the decision is not fully determined by prior causes, then there is some element of indeterminacy at the moment of choice — which seems to mean the decision is, to that degree, random. And random events are not controlled by the agent. They simply happen. So replacing determinism with indeterminism seems to trade one threat to free will (compulsion by prior causes) for another (mere chance). The challenge for any libertarian theory is to explain how indeterminism can be freedom rather than luck.

Two main strategies have emerged. Agent causation theories (associated with Roderick Chisholm and Timothy O'Connor) hold that free actions are caused by the agent *as a substance*, not by any prior event. The agent is an irreducible causal power — a locus of origination — that initiates action from itself without being reducible to the chain of physical events. This preserves the intuition that the self genuinely causes its choices, but it faces the challenge of explaining how agent causation fits into the physical world without violating causal closure. Event-causal indeterminist theories (associated with Robert Kane) locate indeterminacy in specific neural processes — moments where quantum-level fluctuations leave the outcome genuinely open — and argue that the agent's character and deliberation are causally engaged with these processes, so the outcome, though not determined, is authentically the agent's own.

Your prerequisite in modal logic is relevant here: libertarians often appeal to the "could have done otherwise" requirement for free will — the claim that in the actual world, with all the same prior history and laws, the agent might have chosen differently. Modal logic provides the tools for being precise about this claim. On a libertarian reading, in the possible worlds adjacent to the actual one (same prior history, same laws), some worlds contain the agent deciding A and others contain the agent deciding B — genuine branching in the space of possibilities, not just branching due to ignorance about a fixed outcome. Whether physics and neuroscience actually support this picture remains an open empirical question, and it is one reason libertarian free will carries a distinctive empirical burden that compatibilist theories do not.

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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 → Introduction to Propositional Logic → Introduction to Predicate Logic (First-Order Logic) → First-Order Logic Syntax → Terms and Atomic Formulas in FOL → Variable Binding and Scope → Open and Closed Formulas in First-Order Logic → Variable Substitution and Capture-Avoidance in First-Order Logic → Quantifier Instantiation Rules in First-Order Proof Systems → Universal Quantification: Meaning and Scope → Free Variables and Bound Variables → Substitution and Instantiation in Predicate Logic → Terms and Atomic Formulas → Formulas and Well-Formed Expressions → Structures and Interpretations → Model Interpretation and Satisfaction → Interpretation, Truth, and Satisfaction of Formulas → Logical Consequence and Entailment → Soundness Theorem and Validity of Proof Systems → Deductive Reasoning and Formal Proof Systems → First-Order Resolution → Propositional Resolution → Semantic Tableaux (Propositional) → Semantic Tableaux (First-Order) → Decidable Fragments of First-Order Logic → Gödel's Completeness Theorem for First-Order Logic → Gödel's Incompleteness Theorems → Introduction to Intuitionistic Logic → Introduction to Modal Logic → Libertarian Free Will

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