Cognitive Processes PSY 334 Chapter 10 – Reasoning & Decision-Making August 19, 2003.

Slides:



Advertisements
Similar presentations
Artificial Intelligence
Advertisements

Geometry Chapter 2 Terms.
Rules of Inferences Section 1.5. Definitions Argument: is a sequence of propositions (premises) that end with a proposition called conclusion. Valid Argument:
1 Section 1.5 Rules of Inference. 2 Definitions Theorem: a statement that can be shown to be true Proof: demonstration of truth of theorem –consists of.
The Foundations: Logic and Proofs
Deductive Reasoning. Are the following syllogism valid? A syllogism is valid if the conclusion follows from the premises All soldiers are sadistic Some.
Higher / Int.2 Philosophy 5. ” All are lunatics, but he who can analyze his delusion is called a philosopher.” Ambrose Bierce “ Those who lack the courage.
C81COG: Cognitive Psychology 1 SYLLOGISTIC REASONING Dr. Alastair D. Smith Room B22 – School of Psychology
Chapter 1 The Logic of Compound Statements. Section 1.3 Valid & Invalid Arguments.
Logical Reasoning: Deduction. Logic A domain-general system of reasoning Deductive reasoning System for constructing proofs –What must be true given certain.
Reasoning Lindsay Anderson. The Papers “The probabilistic approach to human reasoning”- Oaksford, M., & Chater, N. “Two kinds of Reasoning” – Rips, L.
Suppressing valid inferences with conditionals Ruth M.J. Byrne, MRC Applied Psychology Unit, Cambridge (1987, 1988, 1989) Ruth M.J. Byrne, MRC Applied.
Logic 3 Tautological Implications and Tautological Equivalences
Cognitive Processes PSY 334 Chapter 10 – Reasoning.
Essential Deduction Techniques of Constructing Formal Expressions and Evaluating Attempts to Create Valid Arguments.
Decision Making and Reasoning
Essential Deduction Techniques of Constructing Formal Expressions Evaluating Attempts to Create Valid Arguments.
Cognitive - reasoning.ppt © 2001 Laura Snodgrass, Ph.D.1 Reasoning and Decision Making Five general strategies Reasoning and Logic Two hypotheses –inherently.
Cognitive Processes PSY 334 Chapter 8 – Problem Solving.
Copyright © Peter Cappello Logical Inferences Goals for propositional logic 1.Introduce notion of a valid argument & rules of inference. 2.Use inference.
Reasoning
RESEARCH IN EDUCATION Chapter I. Explanations about the Universe Power of the gods Religious authority Challenge to religious dogma Metacognition: Thinking.
Copyright © Curt Hill Rules of Inference What is a valid argument?
CSCI 115 Chapter 2 Logic. CSCI 115 §2.1 Propositions and Logical Operations.
Logical Arguments. Strength 1.A useless argument is one in which the truth of the premisses has no effect at all on the truth of the conclusion. 2.A weak.
Chapter 4: Local integration 1: Reasoning & evolutionary psychology.
March 3, 2015Applied Discrete Mathematics Week 5: Mathematical Reasoning 1Arguments Just like a rule of inference, an argument consists of one or more.
Chapter 2 The Logic of Quantified Statements. Section 2.4 Arguments with Quantified Statements.
Deductive versus Inductive Reasoning Consider the following two passages: Argument #1 Mr. Jones is a member of the Academy of Scholarly Fellows and only.
Discrete Mathematics CS 2610 August 24, Agenda Last class Introduction to predicates and quantifiers This class Nested quantifiers Proofs.
Chapter 1 Logic Section 1-1 Statements Open your book to page 1 and read the section titled “To the Student” Now turn to page 3 where we will read the.
Reasoning Top-down biases symbolic distance effects semantic congruity effects Formal logic syllogisms conditional reasoning.
1 Sections 1.5 & 3.1 Methods of Proof / Proof Strategy.
Discrete Structures (DS)
Formal Operations and Rationality. Formal Operations Using the real vs. the possible Inductive vs. deductive reasoning –Inductive: Specific to general,
Question of the Day!  We shared a lot of examples of illogical arguments!  But how do you make a LOGICAL argument? What does your argument need? What.
Reasoning.
REASONING AS PROBLEM SOLVING DEDUCTIVE REASONING: –what, if any, conclusions necessarily follow? INDUCTIVE REASONING: –what is the probability that those.
Chapter Four Proofs. 1. Argument Forms An argument form is a group of sentence forms such that all of its substitution instances are arguments.
Cognitive Processes PSY 334
HOW TO CRITIQUE AN ARGUMENT
Philosophical Method  Logic: A Calculus For Good Reason  Clarification, Not Obfuscation  Distinctions and Disambiguation  Examples and Counterexamples.
BHS Methods in Behavioral Sciences I April 9, 2003 Chapter 2 (Stanovich) – Falsifiability: How to Foil Little Green Men in the Head.
The construction of a formal argument
Cognitive Processes PSY 334 Chapter 10 – Reasoning & Decision-Making May 28, 2003.
DEDUCTIVE ARGUMENTS The aim of this tutorial is to help you learn to recognize, analyze, and evaluate deductive arguments.
Syllogisms and Three Types of Hypothetical Syllogisms
Section 2.3: Deductive Reasoning
Cognitive Processes PSY 334 Chapter 10 – Reasoning.
Deductive Reasoning and Decision Making. Deductive Reasoning “Inductive” reasoning allows one to draw general conclusions or make judgments given evidence.
Logic: The Language of Philosophy. What is Logic? Logic is the study of argumentation o In Philosophy, there are no right or wrong opinions, but there.
Reasoning -deductive versus inductive reasoning -two basic types of deductive reasoning task: conditional (propositional) and syllogistic.
BHS Methods in Behavioral Sciences I April 7, 2003 Chapter 2 – Introduction to the Methods of Science.
Chapter 1 Logic and proofs
Formal logic The part of logic that deals with arguments with forms.
Cognitive Processes PSY 334
Chapter 7. Propositional and Predicate Logic
Cognitive Processes PSY 334
CSE15 Discrete Mathematics 01/30/17
Deductive Arguments.
The second Meeting Basic Terms in Logic.
Rules of Inference Section 1.6.
Chapter 3: Reality Assumptions
Logic and Critical Thinking as Basis of Scientific Method and rationality as well as Problem solving 13th Meeting.
Evaluate Deductive Reasoning and Spot Deductive Fallacies
Logical Inferences: A set of premises accompanied by a suggested conclusion regardless of whether or not the conclusion is a logical consequence of the.
Reasoning and Decision Making
Applied Discrete Mathematics Week 1: Logic
Chapter 7. Propositional and Predicate Logic
Cognitive Processes PSY 334
Presentation transcript:

Cognitive Processes PSY 334 Chapter 10 – Reasoning & Decision-Making August 19, 2003

Incubation Effects  Some kinds of problems tend to benefit from interruption (incubation). 55% without break, 64% 1 hr, 85% 4 hr. Delay may disrupt set effects.  Problems depending on a set of steps or procedures do not benefit from interruption. Subjects forget their plan and must review what was previously done.

Insight  There is no magical “aha” moment where everything falls into place, even though it feels that way. People let go of poor ways of solving the problem during incubation.  Subjects do not know when they are close to a solution, so it seems like insight – but they were working all along.

Research on Logic  Logic – a subdiscipline of philosophy and mathematics that formally specifies what it means for an argument to be correct.  Human deviations from logic were thought to be malfunctions of the mind.  Recent comparisons of human thinking show that logic is not an appropriate prescriptive norm.

Two Kinds of Reasoning  Reasoning – the process of inferring new knowledge from what we already know.  Deductive reasoning – conclusions follow with certainty from their premises. Reasoning from the general to the specific.  Inductive reasoning – conclusions are probable rather than certain. Reasoning from the specific to the general. Probabilistic – based on likelihoods.

Conditionals  If-then statements. Antecedent – the “if” part. Consequent – the “then” part.  Rules of inferences using conditionals: Modus ponens -- If A then B, A, conclude B Modus tollens – If A then B, not-B, conclude not-A Notation: negation, implication, therefore.

Logical Fallacies  Denial of the antecedent: If P then Q, not-P, conclude not-Q If P then Q, not-P, conclude Q  Affirmation of the consequent: If P then Q, Q, conclude P If P then Q, Q, conclude not-P  Subjects seem to interpret the conditional as a biconditional – if means “if and only if”

How People Reason  People may be reasoning in terms of conditional probabilities. Conditional probabilities can be found that correspond to acceptance rates for fallacies.  Wason selection task – can be explained in terms of probabilities. Also explained by a permission schema

Quantifiers  Categorical syllogism – analyzes propositions with quantifiers “all,” “no,” and “some.”  Fallacies: Some A’s are B’s Some B’s are C’s Conclude: Some A’s are C’s Substitute women for A, lawyers for B, men for C to see what is wrong.

Atmosphere Hypothesis  People commit fallacies because they tend to accept conclusions with the same quantifiers as the premises. No A’s are B’s All B’s are C’s Conclude No A’s are C’s.  The logical terms (some, all, no, not) create an atmosphere that predisposes acceptance of the same terms.

Two Forms  People tend to accept a positive conclusion to positive premises, negative conclusion to negative premises. Mixed premises lead to negative conclusions.  People tend to accept universal conclusions from universal premises (all, no), particular conclusions from particular premises (some, some not).

Limitations  Atmosphere hypothesis describes what people do, but doesn’t explain why.  People violate predictions of the atmosphere hypothesis. More likely to accept a syllogism if it contains a chain leading from A to C. People should accept a syllogism with two negative premises, but correctly reject it.

Process Explanations  People construct a mental model to think concretely about the situation.  Correct conclusions depend upon choosing the correct mental model.  Errors occur because people overlook possible explanations of the premises: All the squares are striped Some striped objects have bold borders. Some of the squares have bold borders.