LECTURE FOUR MICHAELMAS 2017 Dr Maarten Steenhagen Causation

Similar documents
Faculty of Philosophy, University of Cambridge Michaelmas Term Part IA: Metaphysics Causation

Appendix A Lewis s Counterfactuals

Regularity analyses have failed; it is time to give up and try something else: a counterfactual analysis.

David Lewis. Causation

For Philosophy and Phenomenolgical Research

Lewis Counterfactual Theory of Causation

Of Miracles and Interventions

Space, Time and Causality, Lectures 9 & 10: Causation: Regularity Accounts

Tooley on backward causation

Tools for causal analysis and philosophical theories of causation. Isabelle Drouet (IHPST)

Comments on The Role of Large Scale Assessments in Research on Educational Effectiveness and School Development by Eckhard Klieme, Ph.D.

From Causality, Second edition, Contents

OXFORD PHILOSOPHICAL SOCIETY MEMBERS WEEKEND, AUGUST 2018 SCRIPT FOR THE PRESENTATION

Essay Review: Cause and Chance: Causation in an Indeterministic World, Phil Dowe and Paul Noordhof, eds., Routledge, 2004

Social Science Counterfactuals. Julian Reiss, Durham University

Précis of Modality and Explanatory Reasoning

Reading 11 : Relations and Functions

The Power of Possible Causation

Handout 8: Bennett, Chapter 10

CAUSALITY. Models, Reasoning, and Inference 1 CAMBRIDGE UNIVERSITY PRESS. Judea Pearl. University of California, Los Angeles

Lecture 31 Woodward on Actual Causes

Philosophy 5340 Epistemology. Topic 3: Analysis, Analytically Basic Concepts, Direct Acquaintance, and Theoretical Terms. Part 2: Theoretical Terms

Response to Kadri Vihvelin s counterfactuals and dispositions

Topic 4: Causation and conditionals

DISCUSSION CENSORED VISION. Bruce Le Catt

SPECIFICITY AND REDUNDANT CAUSATION

Actual Causality: A Survey

Contrastive Causation

Actual Causality in a Logical Setting

Physicalism

As you scroll through this review, you move your hand; this causes the

Instructor: Sudeepa Roy

The Ontology of Counter Factual Causality and Conditional

Causal Reasoning. Note. Being g is necessary for being f iff being f is sufficient for being g

In Newcomb s problem, an agent is faced with a choice between acts that

Causal Modeling and Transitivity

Pearl s Causality In a Logical Setting

Non-normal Worlds. Daniel Bonevac. February 5, 2012

Propositional Logic: Bottom-Up Proofs

Overdetermination in Inuitive. Causal Decision Theory. Esteban Céspedes. 1. Overdetermination and two theories of causation

Causation and Preemption. Ned Hall and L. A. Paul. Causation is a deeply intuitive and familiar relation, gripped powerfully by common sense.

CAUSATION. Chapter 5. Humean Reductionism - Counterfactual Approaches

Probabilistic Causation, Preemption and Counterfactuals

(1) If Bush had not won the last election, then Nader would have won it.

Some problems in giving an adequate model-theoretic account of CAUSE *

CAUSATION CAUSATION. Chapter 10. Non-Humean Reductionism

CS 173 Lecture 2: Propositional Logic

COUNTERFACTUALS, CAUSATION, AND PREEMPTION

La logique des conditionnels. Rentrée Cogmaster

Sufficient Conditions for Causality to be Transitive

3. Nomic vs causal vs dispositional essentialism. 1. If quidditism is true, then properties could have swapped their nomic roles.

Laws of Nature. What the heck are they?

Spring 2018 Ling 620 The Basics of Intensional Semantics, Part 1: The Motivation for Intensions and How to Formalize Them 1

CS 5522: Artificial Intelligence II

Reasoning Under Uncertainty: Conditional Probability

127: Lecture notes HT17. Week 8. (1) If Oswald didn t shoot Kennedy, someone else did. (2) If Oswald hadn t shot Kennedy, someone else would have.

Towards a General Framework for Actual Causation Using CP-logic

Causation Isn t Contrastive It s Contextual

Reasoning Under Uncertainty: Introduction to Probability

Lecture 1: The Humean Thesis on Belief

Strengthening Principles and Counterfactual Semantics

Structuralism and the Limits of Skepticism. David Chalmers Thalheimer Lecture 3

3 The Semantics of the Propositional Calculus

Announcements. CS 188: Artificial Intelligence Spring Probability recap. Outline. Bayes Nets: Big Picture. Graphical Model Notation

Causal inference. Gary Goertz Kroc Institute for International Peace Studies University of Notre Dame Spring 2018

Lecture 12 September 26, 2007

Indicative conditionals

CS 188: Artificial Intelligence Spring Announcements

A Probabilistic Analysis of Causation

Conceivability and Modal Knowledge

Bayes Nets. CS 188: Artificial Intelligence Fall Example: Alarm Network. Bayes Net Semantics. Building the (Entire) Joint. Size of a Bayes Net

Seminar Notes for Causality. J. Dmitri Gallow

Announcements 2 Oct 2014

HSSP Philosophy of Quantum Mechanics 08/07/11 Lecture Notes

Antecedents of counterfactuals violate de Morgan s law

MINIMAL SUFFICIENT CAUSATION AND DIRECTED ACYCLIC GRAPHS 1. By Tyler J. VanderWeele and James M. Robins. University of Chicago and Harvard University

Mental Causation Is Not Just Downward Causation

Lecture 34 Woodward on Manipulation and Causation

Philosophy 240 Symbolic Logic. Russell Marcus Hamilton College Fall 2013

Mackie Remixed. Michael Strevens

CMPT Machine Learning. Bayesian Learning Lecture Scribe for Week 4 Jan 30th & Feb 4th

Counterfactual Undoing in Deterministic Causal Reasoning

cis32-ai lecture # 18 mon-3-apr-2006

Minimal models with three-valued logic: The case of counterfactual conditionals

Counterfactual Reasoning in Algorithmic Fairness

SAT, NP, NP-Completeness

Part IA Numbers and Sets

Announcements Oct 16, 2014

Structural Equations and Beyond

Ling 98a: The Meaning of Negation (Week 5)

Lecture 4.3: Closures and Equivalence Relations

Physics Fall Mechanics, Thermodynamics, Waves, Fluids. Recap: Position and displacement

Relevant Logic. Daniel Bonevac. March 20, 2013

LECTURES 14/15: LINEAR INDEPENDENCE AND BASES

Token causation by probabilistic active paths

Propositional Logic: Semantics and an Example

Moody conditionals: Hamburgers, switches, and the tragic death of an American president

Why There Isn t Inter-Level Causation in Mechanisms

Fake Tense! in structural models. Katrin Schulz! ILLC, University of Amsterdam

Space, Time and Causality: Causa4on, II. David Lewis s Counterfactual Account

Transcription:

LECTURE FOUR MICHAELMAS 2017 Dr Maarten Steenhagen ms2416@cam.ac.uk http://msteenhagen.github.io/teaching/ Causation

These lectures Lecture 1: The very idea of a cause Lecture 2: Regularity theories Lecture 3: Counterfactual theories Lecture 4: The problem of redundant causation

Today 1. Recapitulation: counterfactual and causal dependence 2. Causation defined: transitivity and ancestral relations 3. The problem of redundant causation: overdetermination and pre-emption

Recap: Counterfactual dependence Causal dependence

Counterfactual dependence A B is true iff either B I. there are no possible A- worlds A C D II. some A-world which is also a B-world is closer to the actual world (actuality) than any A- world which is not also a B-world A C B D C When A B is true we can say that B counterfactually depends on A. (Note, this is a relation between propositions) C B D @

Is counterfactual dependence symmetrical? A If A B is true, then does it follow that B A true (i.e. is counterfactual dependence a symmetric relation?) A C B D C D If A and B are true in @, then A B implies B A C B D But what the antecedent isn t actually true? A C B D @

Is counterfactual dependence symmetrical? Consider: If I were to throw coffee on this computer, the machine would shut down. Plausibly, yes. A C B D A C D But does it follow that, if the machine were to shut down, I would have thrown coffee on the computer? No, it s much more likely the machine s shutting down would have had a different cause C D C B D @

Counterfactual dependence as such is not sufficient for causation There are many cases of counterfactual dependence which are not cases of causation (see Kim s paper in the Sosa & Tooley volume for some examples) Lewis: the laws of motion in a world may counterfactually depend on the laws of gravity in that world, but the latter doesn t cause the former (better to say: laws of motion supervene on laws of gravity)

Counterfactual dependence as such is not sufficient for causation If you park your car on a double yellow line, then you break the law. But parking the car there doesn t cause you to break the law (it constitutes breaking the law in this instance) What we have to have to add to exclude cases like this is to say that the events related as cause and effect must be distinct from one another

Causal dependence Let c and e as terms for events (e.g. the assassination, the first world war ) O be a predicate of events, meaning occurs be negation We can now define causal dependence in terms of counterfactual dependence between distinct events e causally depends on c iff: Oc Oe and Oc Oe

S: The Fukushima meltdown of 2011 causally depended on an earlier tsunami e = the meltdown c = the tsunami S is true iff 1. Oc Oe 2. Oc Oe e c e @

Is causal dependence necessary and sufficient for causation?

Sufficient, not necessary Sufficient: Causal dependence between actual events implies causation (it is enough for an event to make the difference ) But causal dependence is not necessary! One event can cause another even if the latter doesn t causally depend on the former How? Because we think of causation as a transitive relation, and causal dependence isn t transitive

Transitivity of causation For any events A, B, and C: If A causes B, and B causes C, then A causes C A primer on transitivity: A relation R is transitive when arb and brc imply arc A relation R is non-transitive when arb and brc do not imply arc A relation R is intransitive when arb and brc imply not arc

@ c d e W1 f e CAUSAL DEPENDENCE: W2 c = I shoot the president d = A revolution breaks out e = The government falls f = The stock markets collapse

Building causation from causal dependence 1. If e causally depends on d, then d causes e; if d causally depends on c, then c causes d 2. Causation is transitive 3. So, if c causes d and d causes e, then c causes e 4. We have a causal relation between c and e that is not a relation of causal dependence e d c CAUSAL DEPENDENCE: CAUSATION

Ancestral relations Causation is not causal dependence, but it does depend on causal dependence. Can we define this dependence? Causation is the ancestral of the relation of causal dependence

Ancestral relations The ancestral of a relation R is that relation which stands to R as the relation of being an ancestor stands to the relation of being a parent All parents of x are ancestors of x, but not all ancestors of x are parents of x; instead, all ancestors of x are either parents of x, or parents of parents, or parents of parents of parents, etc. Is x is a parent of y transitive? No. Is x is an ancestor of y transitive? Yes. Is y causally depends on x transitive? No. Is y is caused by x transitive? Yes.

The problem of redundant causation

Redundant causes Redundant causation: c causes e, but it is not true that if c had not occurred, e would not have occurred Two kinds of case are typically discussed: 1. Overdetermination 2. Pre-emption

Overdetermination c2 c1 e

Overdetermination c1 e

Overdetermination Overdetermination (symmetrical redundancy): e has two independent causes, c1 and c2. Since c1 and c2 are independent, either would occur without the other. Unclear why these causes are independent: it is just as attractive to think that this is just a single event (perhaps of joint causation) (See Postscript to Causation for detailed discussion by Lewis)

Pre-emption c2 c1 e

Pre-emption c2 c1 causal dependence e causal dependence Intermediary event c1*

Late pre-emption causal dependence Intermediary event

Pre-emption We should distinguish early preemption and late pre-emption Early pre-emption: c causes e, but there is a back-up cause waiting to cause e if c fails. So e does not causally depend on c early pre-emption Late pre-emption: c causes e, but there is a second process that causes e if c or any of its intermediary effects c*, c etc. fails The counterfactual theory of causation is equipped to deal with early pre-emption, but has difficulties with late pre-emption late pre-emption

Summary Efficient causation (One of four causes or becauses Aristotle talked about; can be conceived in terms of intervention, or purely in terms of natural process) Regularity theories (Hume s psychological theory, Mackie s INUS theory) Counterfactual theories (David Lewis, made possible by a proper semantics for counterfactuals; asymmetry and transitivity of causation) Problems for counterfactual theories (Overdetermination, Early and Late Pre-Emption)

Good luck! Lecture 1: The very idea of a cause Lecture 2: Regularity theories Lecture 3: Counterfactual theories Lecture 4: The problem of redundant causation