Creative Thoughts as Acts of Free Will: A Two-Stage Formal Integration.

Slides:



Advertisements
Similar presentations
Research Methodology Chapter 1.
Advertisements

What is a creative idea? FORMAL DEFINITIONS AND COGNITIVE IMPLICATIONS.
Session 2 Ages and Stages Journal: Describe how your children changed physically and intellectually from the time they were born.
Cognitive Psychology, 2 nd Ed. Chapter 13 Problem Solving.
Integrating Bayesian Networks and Simpson’s Paradox in Data Mining Alex Freitas University of Kent Ken McGarry University of Sunderland.
BVSR Buffy Vampire Slayer Relationships≠. Creative Problem Solving as Variation-Selection: The Blind-Sighted Continuum and Solution Variant Typology.
Chapter 1 Introduction to Social Work Research. RESEARCH AND ACCOUNTABILITY The Council on Social Work Education The National Association of Social Workers.
Problem Solving and Decision Making A situation that exists when objectives are not being met. Problem Solving The process of taking corrective.
Buffy Vampire Slayer Relationships BVSR ≠. Creativity and Discovery as Blind Variation and Selective Retention: Multiple-Variant Definitions and Blind-Sighted.
PowerPoint Presentation by Charlie Cook Creative Problem Solving and Decision Making Chapter 4 Copyright © 2003 South-Western/Thomson Learning. All rights.
Intro to AI Genetic Algorithm Ruth Bergman Fall 2002.
Scientific Creativity as Blind Variation Campbell (1960) After the Half-Century Mark.
By the end of this chapter you will be able
11 Populations and Samples.
© Prentice Hall, © Prentice Hall, ObjectivesObjectives 1.A fundamental understanding of the term decision 2.An understanding of.
Course Content Introduction to the Research Process
Problem Solving & Creativity Dr. Claudia J. Stanny EXP 4507 Memory & Cognition Spring 2009.
Copyright c 2006 Oxford University Press 1 Chapter 7 Solving Problems and Making Decisions Problem solving is the communication that analyzes the problem.
STEP: Teaching Pedagogy 1 David J. Shook, Ph.D. Coordinator, TA Development Programs, CETL Associate Professor of Spanish.
10 Stages Of the Engineering Design Process
Expected Utility, Mean-Variance and Risk Aversion Lecture VII.
Item Analysis: Classical and Beyond SCROLLA Symposium Measurement Theory and Item Analysis Modified for EPE/EDP 711 by Kelly Bradley on January 8, 2013.
Decision Making Dr Vasuprada Kartic NAC Batch IX PGDCPM.
Little-c versus Big-C Creativity: Toward a Scientific Definition.
Genetic Algorithm.
BVSR Buffy Vampire Slayer Relationships≠. Creativity as Blind Variation and Selective Retention: Philosophy, Psychology, or Both?
Investment Analysis and Portfolio management Lecture: 24 Course Code: MBF702.
Problem Solving Agenda John Dewey. John Dewey emphasized practical ideas in both his philosophical and educational theories, always striving to show how.
The Process of Writing. Pre-writing Involves strategies, techniques, and procedures for generating ideas ◦ Free writing ◦ Journal keeping ◦ Note taking.
Use of moment generating functions 1.Using the moment generating functions of X, Y, Z, …determine the moment generating function of W = h(X, Y, Z, …).
A Heuristic Solution To The Allais Paradox And Its Implications Seán Muller, University of Cape Town.
Population and sample. Population: are complete sets of people or objects or events that posses some common characteristic of interest to the researcher.
Evolving Virtual Creatures & Evolving 3D Morphology and Behavior by Competition Papers by Karl Sims Presented by Sarah Waziruddin.
Decision making Under Risk & Uncertainty. PAWAN MADUSHANKA MADUSHAN WIJEMANNA.
Chapter 6 Managerial Decision Making. Programmed Decisions n Routine situations n Decision rules can be developed and applied n Managers formulate decision.
MA/CSSE 473 Day 19 Exam Prep. MA/CSSE 473 Day 19 If you want additional practice problems for Tuesday's exam: –The "not to turn in" problems from various.
JMdeL Product / Service Innovation… An Evolutionary Approach.
1 Item Analysis - Outline 1. Types of test items A. Selected response items B. Constructed response items 2. Parts of test items 3. Guidelines for writing.
The word science comes from the Latin "scientia," meaning knowledge. Scientific Theories are not "tentative ideas" or "hunches". The word "theory" is often.
Section Direct and Inverse Variation. Lesson Objective: Students will: Formally define and apply inverse and direct variation.
Chapter 6 Conducting & Reading Research Baumgartner et al Chapter 6 Selection of Research Participants: Sampling Procedures.
Ch. 11 SAMPLING. Sampling Sampling is the process of selecting a sufficient number of elements from the population.
Chapter 4 Probability, Randomness, and Uncertainty.
STATISTICAL DATA GATHERING: Sampling a Population.
A Brief Maximum Entropy Tutorial Presenter: Davidson Date: 2009/02/04 Original Author: Adam Berger, 1996/07/05
X = Y. Direct variation X 1 X = Y 1 Y 2.
Graphic Organizers EDUC 307. Graphic Organizers  Graphic organizers are mental maps that represent key skills like sequencing, comparing and contrasting,
What is Research?. Intro.  Research- “Any honest attempt to study a problem systematically or to add to man’s knowledge of a problem may be regarded.
MA/CSSE 473 Day 16 Combinatorial Object Generation Permutations.
Waqas Haider Khan Bangyal. Organization of the Lecture Research and Methodology: Research defined and described Some classifications of research Define.
Tests of Significance We use test to determine whether a “prediction” is “true” or “false”. More precisely, a test of significance gets at the question.
Slide 7.1 Saunders, Lewis and Thornhill, Research Methods for Business Students, 5 th Edition, © Mark Saunders, Philip Lewis and Adrian Thornhill 2009.
 Francis Bacon  Karl Popper  Thomas Kuhn The Logic of Scientific Discovery Hypothesis testing Asymmetry Negative evidence Positive evidence Logical.
 Good for:  Knowledge level content  Evaluating student understanding of popular misconceptions  Concepts with two logical responses.
Formulation of the Research Methods A. Selecting the Appropriate Design B. Selecting the Subjects C. Selecting Measurement Methods & Techniques D. Selecting.
Bayesian Estimation and Confidence Intervals Lecture XXII.
Inquiry: Projectile motion can be modeled with a quadratic equation
Bayesian Estimation and Confidence Intervals
Rational Decision Making 8-step Process
Item Analysis: Classical and Beyond
Understand the principles of effective decision making
Engineering Design Process
Business Research Methods
SAMPLING.
By the end of this chapter you will be able
Item Analysis: Classical and Beyond
Chapter 5: Graphs & Functions
Warmup.
By the end of this chapter you will be able
Item Analysis: Classical and Beyond
Presentation transcript:

Creative Thoughts as Acts of Free Will: A Two-Stage Formal Integration

Outline  Integration Two-Stage Creativity: Blind Variation Then Selective Retention Two-Stage Free Will: Chance Then Choice Two-Stage Creativity and Free Will  Discussion

Two-Stage Creativity: Blind Variation Then Selective Retention  Donald Campbell’s (1960) blind- variation and selective-retention (BVSR) theory of creative thought and knowledge processes  Recent reformulation in terms of three parameters that define the “creativity” of any idea and the “sightedness” of that idea on its initial generation

Two-Stage Creativity: Blind Variation Then Selective Retention  Creativity Although creativity can adopt many forms, for the moment the discussion will be restricted to problem solving  the quest for the most creative solution to a given problem This restriction has the advantage that many acts of free will also involve everyday problem solving  finding the best choice

Two-Stage Creativity: Blind Variation Then Selective Retention  Creative problem solving: A given problem elicits k potential solutions, namely, x 1, x 2, x 3... x i... x k and X = the entire set of solutions e.g., for Maier’s (1931, 1940) classic two-strings problem k = 7

Two-Stage Creativity: Blind Variation Then Selective Retention  Each potential solution x i has the following parameters: p i = initial probability that the individual will generate potential solution x i  where 0 ≤ p i ≤ 1 and Σp i ≤ 1 u i = final utility of that potential solution  where 0 ≤ u i ≤ 1 and 0 ≤ Σu i ≤ k v i = prior knowledge of the utility  where 0 ≤ v i ≤ 1 and 0 ≤ Σv i ≤ k

Two-Stage Creativity: Blind Variation Then Selective Retention  Then the “little-c” creativity of x i is c i = (1 – p i )u i (1 – v i ),  where 0 ≤ c i ≤ 1, and  (1 – p i ) = solution originality  (1 – v i ) = solution surprisingness i.e., a quantitative and multiplicative representation other standard three- criteria definitions of creativity N.B.: parameters are subjective rather than consensual (just as in free will)

Two-Stage Creativity: Blind Variation Then Selective Retention  Sightedness: For any given potential solution x i  s i = p i u i v i, where 0 ≤ s i ≤ 1  N.B.: importance of v i (cf. “lucky guesses”) For the entire set of solutions X  S = 1⁄k Σp i u i v i, where 0 ≤ S ≤ 1 The inverse of sightedness is “blindness”  b i = 1 – s i and B = 1 – S  Hence, a bipolar continuum: From b i = 1 to s i = 1 or from B = 1 to S = 1

Two-Stage Creativity: Blind Variation Then Selective Retention  Special note on “blindness” Blindness does not require randomness  All randomness is blind but not all blindness is random Systematic processes or procedures can yield potential solutions where s i <<.5  e.g., radar sweeps and search grids  e.g., BACON the discovery program This has important repercussions for understanding free will

Two-Stage Free Will: Chance Then Choice  Philosophers have identified many complexities associated with free will e.g. determinism, indeterminism, liberatarianism, and compatibilism  Psychologists have as well, such as rational choice self-regulation (“free won’t”)  BVSR theory ≈ rational choice

Two-Stage Free Will: Chance Then Choice  Two-stage theory (Doyle, 2010) “first chance, then choice” “two-stage model effectively separates chance (the indeterministic free element) from choice (an arguably determinate decision that follows causally from one’s character, values, and especially feelings and desires at the moment of decision)” N.B.: The “choices” are “free” from determination but not the “will”

Two-Stage Free Will: Chance Then Choice  Two-stage theory (Doyle, 2010) numerous advocates among philosophers and scientists, but especially Poincaré, Popper, and Dennett, who all have also argued for a version of BVSR e.g., Dennett (1978) use of Paul Valéry’s “It takes two to invent anything. The one makes up combinations; the other one chooses, recognizes what is important to him in the mass of things which the former has imparted to him” also used for BVSR (e.g. Simonton, 1988) Hence, creativity an act of “Valerian free will”

Two-Stage Free Will: Chance Then Choice  Reformulation in BVSR formalism: set X now contains k choices  x 1, x 2, x 3... x i... x k s i = p i u i v i  freedom associated with choice x i increases as s i decreases (or as b i increases) S = 1⁄k Σp i u i v i  freedom associated with the set of choices in X increases as S decreases (or as B increases)

Two-Stage Free Will: Chance Then Choice  Hence, two important implications First, the “free will” associated with any given choice or with any given set of choices is also a quantitative variable that ranges from 0 to 1  Free will increases as k increases more-choices condition  Free will increases as p i → 1/k for all i equiprobability condition

Two-Stage Free Will: Chance Then Choice  Hence, two important implications Second, because both s i and S can approach 0 without the imposition of randomness or “chance,” free will can be manifested in any systematic process or procedure that still retains the “decoupling” between the utility and prior knowledge of that utility  e.g., picking an undergraduate major

Two-Stage Creativity and Free Will  To more directly integrate the two phenomena I must: First, discuss the central circumstances that enhance creativity, circumstances that should support free will as well Second, say something about how creative thoughts emerge in the first place, particularly if they are to be considered genuine acts of free will

Creative solutions, blindness, and freedom of choice  Key contrast: Where options are supposedly chosen to maximize utility (viz. rational choice) Problem solutions may be selected to maximize creativity: tradeoffs possible  Hence, some utility may be sacrificed to maximize creativity  e.g., the pendulum solution to the two- strings problem  So what maximizes creativity?

Creative solutions, blindness, and freedom of choice  When sighted maximizes, then as s i → 1, then c i → 0 for any i as S → 1, then c i → 0 for all i i.e., regardless of the utility, highly sighted solutions and solution sets cannot be highly creative

Creative solutions, blindness, and freedom of choice  When blindness maximizes, then the expected value (M c ) of c i increases, the variance of c i (σ c ) increases the maximum possible creativity (or c- max) increases the skewness of the joint creativity- sightedness distribution increases all four increases at an accelerating rate, as seen in the following figure …

Creative solutions, blindness, and freedom of choice  If creativity maximizes at the blind end of the blind-sighted continuum,  and if free will does as well,  then it follows that creative solutions must represent acts of free will  Both are equally contingent on the more-choice and equiprobability conditions

Creative ideas and volitional choices as combinatorial products  Problem solving constitutes only a special case of creativity in general  Hence, need a more general conception of creativity that includes problem solving as a special case  That inclusive conception involves combinatorial processes  Combinatorial can also provide new options beyond those provided

Creative ideas and volitional choices as combinatorial products  Creativity as combination has two main assets: First, this conception allows creativity to be analyzed using combinatorial models both mathematical and computational  These models provide the foundation for the first step of Valerian free will  These models often use pseudorandom number generators to simulate creative phenomena, introducing an as if chance

Creative ideas and volitional choices as combinatorial products  Creativity as combination has two main assets: Second, this conception has been linked with the cognitive processes, personal traits, developmental experiences, and environmental contexts associated with creative thought …

Creative ideas and volitional choices as combinatorial products  Examples: divergent thinking, rare associations; reduced latent inhibition, defocused attention, cognitive inhibition; openness to experience; psychoticism and stereotypy; multicultural experiences and bi- or multilingualism; and various novel, random, incongruous, or chaotic environmental stimuli that all enable the production of ideas with low sightedness

Discussion  From little-c to Big-C Creativity  Creative genius as the “uncaused creator” whose choices freely initiate causal chains that would not have appeared otherwise in history  These chains are manifested in Productivity (Lotka, Price, etc.) Impact (citations, awards, etc.) Eminence (consensus, stability, etc.