Philosophy 240 Symbolic Logic. Russell Marcus Hamilton College Fall 2014

Similar documents
Philosophy 240 Symbolic Logic. Russell Marcus Hamilton College Fall 2013

Scientific Explanation

First-Degree Entailment

Hempel s Models of Scientific Explanation

PHI Searle against Turing 1

Physicalism Feb , 2014

I. Induction, Probability and Confirmation: Introduction

Carl Hempel Laws and Their Role in Scientific Explanation Two basic requirements for scientific explanations

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

Solomonoff Induction Violates Nicod s Criterion

Scientific Explanation- Causation and Unification

Class 29 - November 3 Semantics for Predicate Logic

On Likelihoodism and Intelligent Design

Confirmation Theory. Pittsburgh Summer Program 1. Center for the Philosophy of Science, University of Pittsburgh July 7, 2017

1 Multiple Choice. PHIL110 Philosophy of Science. Exam May 10, Basic Concepts. 1.2 Inductivism. Name:

Symbolic Logic 3. For an inference to be deductively valid it is impossible for the conclusion to be false if the premises are true.

Explanation and Unification

Why Care About Counterfactual Support? The Cognitive Uses of Causal Order Lecture 2

145 Philosophy of Science

CSCI.6962/4962 Software Verification Fundamental Proof Methods in Computer Science (Arkoudas and Musser) Chapter p. 1/33

Induction, confirmation, and underdetermination

The proposition p is called the hypothesis or antecedent. The proposition q is called the conclusion or consequence.

Laws of Nature. What the heck are they?

3 The Semantics of the Propositional Calculus

Valid Reasoning. Alice E. Fischer. CSCI 1166 Discrete Mathematics for Computing February, Outline Truth and Validity Valid Reasoning

2. The Logic of Compound Statements Summary. Aaron Tan August 2017

The paradox of knowability, the knower, and the believer

Advanced Topics in LP and FP

The Converse of Deducibility: C.I. Lewis and the Origin of Modern AAL/ALC Modal 2011 Logic 1 / 26

Philosophy 240 Symbolic Logic. Russell Marcus Hamilton College Fall 2015

HPS 1653 / PHIL 1610 Introduction to the Philosophy of Science

MAGIC Set theory. lecture 1

Philosophy 240 Symbolic Logic. Russell Marcus Hamilton College Fall 2014

Semantics and Pragmatics of NLP

Chapter 1: The Logic of Compound Statements. January 7, 2008

AI Programming CS S-09 Knowledge Representation

In this chapter, we specify a deductive apparatus for PL.

Mathematical Logic Prof. Arindama Singh Department of Mathematics Indian Institute of Technology, Madras. Lecture - 15 Propositional Calculus (PC)

Précis of Modality and Explanatory Reasoning

Capturing Lewis s Elusive Knowledge

Conceivability and Modal Knowledge

A Little Deductive Logic

Propositional Logic Part 1

Russell s logicism. Jeff Speaks. September 26, 2007

03. Induction and Confirmation. 1. Induction. Topic: Relation between theory and evidence.

ASTR 2010 Modern Cosmology. Professor: James Green

Williamson s Modal Logic as Metaphysics

Logical Agents (I) Instructor: Tsung-Che Chiang

Formal Logic. Critical Thinking

A Little Deductive Logic

Physics 10 Summer Midterm #1: You Are a Dog. Name:

6. Conditional derivations

Math 38: Graph Theory Spring 2004 Dartmouth College. On Writing Proofs. 1 Introduction. 2 Finding A Solution

6. Conditional derivations

Logical Agent & Propositional Logic

Chapter 3. The Logic of Quantified Statements

Chapter 7 R&N ICS 271 Fall 2017 Kalev Kask

Philosophy of Science: Models in Science

Chapter 1: The Underdetermination of Theories

Natural Deduction for Propositional Logic

7 LOGICAL AGENTS. OHJ-2556 Artificial Intelligence, Spring OHJ-2556 Artificial Intelligence, Spring

Artificial Intelligence: Knowledge Representation and Reasoning Week 2 Assessment 1 - Answers

Truth-Functional Logic

Propositional Logic: Review

Inference in Propositional Logic

CHAPTER 1 - LOGIC OF COMPOUND STATEMENTS

Rigorous Science - Based on a probability value? The linkage between Popperian science and statistical analysis

Warm-Up Problem. Is the following true or false? 1/35

Artificial Intelligence Knowledge Representation I

Agenda. Artificial Intelligence. Reasoning in the Wumpus World. The Wumpus World

Lecture 5 : Proofs DRAFT

Proseminar on Semantic Theory Fall 2013 Ling 720 Propositional Logic: Syntax and Natural Deduction 1

The Physical Properties And Physical Changes of Substances

A. Propositional Logic

Natural Deduction is a method for deriving the conclusion of valid arguments expressed in the symbolism of propositional logic.

Linear Algebra Fall mathx.kaist.ac.kr/~schoi/teaching.html.

5. And. 5.1 The conjunction

Commentary on Guarini

Logic, Sets, and Proofs

Deontic Logic and Meta-Ethics

PHIL 50 - Introduction to Logic

General Logic (with Special Application to Relevance Logic)

Warm-Up Problem. Write a Resolution Proof for. Res 1/32

Outline. Logical Agents. Logical Reasoning. Knowledge Representation. Logical reasoning Propositional Logic Wumpus World Inference

Gödel s Incompleteness Theorems by Sally Cockburn (2016)

Rigorous Science - Based on a probability value? The linkage between Popperian science and statistical analysis

2 Truth Tables, Equivalences and the Contrapositive

Logical Agent & Propositional Logic

Class 15: Hilbert and Gödel

6. Logical Inference

Rigorous Science - Based on a probability value? The linkage between Popperian science and statistical analysis

Section 1.2: Propositional Logic

Math 144 Summer 2012 (UCR) Pro-Notes June 24, / 15

Propositional Logic. Spring Propositional Logic Spring / 32

Dale Jacquette CONUNDRUMS OF CONDITIONALS IN CONTRAPOSITION

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

5. And. 5.1 The conjunction

Logic: Propositional Logic Truth Tables

In Defense of Jeffrey Conditionalization

MACM 101 Discrete Mathematics I. Exercises on Propositional Logic. Due: Tuesday, September 29th (at the beginning of the class)

Transcription:

Philosophy 240 Symbolic Logic Russell Marcus Hamilton College Fall 2014 Class #19: Logic and the Philosophy of Science Marcus, Symbolic Logic, Fall 2014: Logic and the Philosophy of Science, Slide 1

Three Topics In the Philosophy of Science For which our logic is helpful 1. The Deductive-Nomological Model of Scientific Explanation 2. Confirmation and the Paradox of the Ravens 3. Resolving Contradictions Marcus, Symbolic Logic, Fall 2014: Logic and the Philosophy of Science, Slide 2

Explanations P What is an explanation? P Typical philosophical answer: explanations are answers to why questions. Why do you study logic? Why did the United States enter World War I? Why does the Earth revolve around its axis? P Scientific explanations solicit descriptions of the world which explain an event or phenomenon or law. Marcus, Symbolic Logic, Fall 2014: Logic and the Philosophy of Science, Slide 3

Why Does A Baseball Take a Particular Trajectory? Marcus, Symbolic Logic, Fall 2014: Logic and the Philosophy of Science, Slide 4

Laws and Initial Conditions P Two aspects to any scientific explanation P Laws are general principles Physical Laws (mechanics, electromagnetism) Biological laws (e.g. DNA, cicadas, honeycombs) Chemical laws (ideal gas law) Psychological laws (neuro-chemical, cognitive) Historical? P Initial conditions provide instances of laws From observation Events are subsumed under laws. Marcus, Symbolic Logic, Fall 2014: Logic and the Philosophy of Science, Slide 5

The Deductive-Nomological (D-N) Model of Scientific Explanation L 1, L 2, L 3,...L n The relevant laws... I 1, I 2, I 3,...,I n...and the relevant initial conditions... --------------------------...logically entail... E...the explanandum. Marcus, Symbolic Logic, Fall 2014: Logic and the Philosophy of Science, Slide 6

The D-N Model and the Baseball Trajectory P Premises: Laws Transfer of momentum Friction Gravitational attraction? Initial conditions Mass of ball and bat Velocities at impact Air resistance P Conclusion: Flight of the ball Marcus, Symbolic Logic, Fall 2014: Logic and the Philosophy of Science, Slide 7

Gap-Free Inferences and Science P Frege s Begriffsschrift promised a gap-free account of logical inference. P If we can put scientific explanations into D-N forms, we can take advantage of the gap-free logic in science, too. Explanations of particular events P Explanations of lower-level laws from higher-level laws, too Boyle s Law: P 1 V 1 = P 2 V 2 Charles s Law: V 1 /T 1 = V 2 /T 2 Ideal gas law: PV = kt Marcus, Symbolic Logic, Fall 2014: Logic and the Philosophy of Science, Slide 8

Problems with the D-N Model 1 P Given the height of the flagpole and the angle of the sun, we can explain the shadow. P Given the length of the shadow and the angle of the sun, we can explain the height of the flagpole. P Only one of those is ordinarily taken as an explanation. P What s missing from the D-N model? Marcus, Symbolic Logic, Fall 2014: Logic and the Philosophy of Science, Slide 9

Problems with the D-N Model 2 P Wesley Salmon: (L) All males who take birth control pills regularly fail to get pregnant (I) John Jones is a male who has been taking birth control pills regularly (E) John Jones fails to get pregnant P Henry Kyburg: (L) All samples of table salt that have been hexed by a witch dissolve in water (I) This salt has been hexed. (E) This salt dissolves in water. P One might wonder about laws Marcus, Symbolic Logic, Fall 2014: Logic and the Philosophy of Science, Slide 10

Laws and Accidental Generalizations P Laws are often universal. P But universality is insufficient for lawhood. All people in this room have DNA. All people in this room know the difference between Modus Tollens and Constructive Dilemma. P Our logical rules of inference are syntactic. P It would be nice if we had a syntactic criterion for lawhood. P But: All gold spheres are less than one mile in diameter. All uranium spheres are less than one mile in diameter. P To identify the laws, we have to know science, not just logic or grammar. Marcus, Symbolic Logic, Fall 2014: Logic and the Philosophy of Science, Slide 11

The Paradox of the Ravens On Confirmation Marcus, Symbolic Logic, Fall 2014: Logic and the Philosophy of Science, Slide 12

Nicod s Criterion P In our class on conditionals we saw that Nicod s criterion captures how such scientific laws are confirmed. Evidence confirms a law if it satisfies both the antecedent and consequent. Evidence disconfirms a law if it satisfies the antecedent, and fails to satisfy the consequent. P All ravens are black If something is a raven, then it is black. When we find a black raven, which satisfies the antecedent and the consequent, it confirms the claim. If we were to find a raven which is not black, which satisfies the antecedent but falsifies the consequent, then it would disconfirm the claim. Marcus, Symbolic Logic, Fall 2014: Logic and the Philosophy of Science, Slide 13

The Paradox of the Ravens P Any evidence which confirms a proposition should confirm any logically equivalent proposition. Hempel s equivalence condition P All ravens are black is logically equivalent to all non-black things are nonravens. Law of Contraposition! P What evidence confirms all non-black things are non-ravens (according to Nicod s criterion)? P Uh-oh. Accept the consequence? Natural kinds? Give up equivalence condition? Change our logic? Marcus, Symbolic Logic, Fall 2014: Logic and the Philosophy of Science, Slide 14

Scientific Method Marcus, Symbolic Logic, Fall 2014: Logic and the Philosophy of Science, Slide 15

Contradictions and Theory Change P A theory is a set of sentences. P Our beliefs form a theory. P Consistency is a basic condition of rationality. Not for Walt Whitman Do I contradict myself? Very well, then I contradict myself, I am large, I contain multitudes. Not all of us are Whitman. P Sometimes we discover that our belief set is inconsistent. New observation which conflicts with background beliefs Discovery of an unseen entailment P In such cases, we are faced with a set of hypotheses and often want to restore consistency. P We must choose which belief(s) to cede. P A contradiction within a theory merely tells us that there is a problem in the theory, not how to resolve it. P It need not tell us where the problem lies. Marcus, Symbolic Logic, Fall 2014: Logic and the Philosophy of Science, Slide 16

The Dull Weekend P Imagine that you believe that there are going to be no parties this weekend. P Then, you receive a flyer for a gathering on Friday. P Adding the belief that there is a party on Friday to your prior set of beliefs is inconsistent. P You could resolve the contradiction in various ways: You could give up your belief about there being no parties this weekend. You could check the date on the flyer; maybe there is a confusion about the data. You could redefine the term party such that the gathering is not a party. et al. Marcus, Symbolic Logic, Fall 2014: Logic and the Philosophy of Science, Slide 17

The Dull Weekend, Regimented P T: S 1 S 2 S 3... S n P Imagine that T yields some claim: O T O P We get new information: O P By modus tollens, we know that T is false: T (S 1 S 2 S 3... S n ) S 1 S 2 S 3... S n P That s as far as the logic will take us. P We don t know which of the sentences of the theory to reject. Marcus, Symbolic Logic, Fall 2014: Logic and the Philosophy of Science, Slide 18

Restoring Consistency S 1 S 2 S 3... S n P We need methods for weighing evidence to choose among the options. Governed by various abstract principles P Various ways to proceed each fit the logical requirements. Theories are generally under-determined by evidence. Evidence often provides correlation without indicating causation. Facebook users get lower grades in college. Marcus, Symbolic Logic, Fall 2014: Logic and the Philosophy of Science, Slide 19

Virtues of Theories 1. Conservatism Revise as little as possible. 2. Modesty We accept only the weakest, or most modest, principles, as the most plausible. The lazy world is the likely world (68). 3. Simplicity Simplicity for a large theory trumps simplicity for any portion of that theory when the two conflict. Objects fall to the Earth is simple, but conflicts with gravitational theory which is simpler overall, and more general. 4. Generality Explanatory Breadth 5. Refutability A theory which explains everything is empty. Good theories should be testable. Marcus, Symbolic Logic, Fall 2014: Logic and the Philosophy of Science, Slide 20