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Core Concepts

Actualism
Adequate Determinism
Agent-Causality
Alternative Possibilities
Causa Sui
Causal Closure
Causalism
Causality
Certainty
Chance
Chance Not Direct Cause
Chaos Theory
The Cogito Model
Compatibilism
Complexity
Comprehensive   Compatibilism
Conceptual Analysis
Contingency
Control
Could Do Otherwise
Creativity
Default Responsibility
De-liberation
Determination
Determination Fallacy
Determinism
Disambiguation
Double Effect
Either Way
Enlightenment
Emergent Determinism
Epistemic Freedom
Ethical Fallacy
Experimental Philosophy
Extreme Libertarianism
Event Has Many Causes
Frankfurt Cases
Free Choice
Freedom of Action
"Free Will"
Free Will Axiom
Free Will in Antiquity
Free Will Mechanisms
Free Will Requirements
Free Will Theorem
Future Contingency
Hard Incompatibilism
Idea of Freedom
Illusion of Determinism
Illusionism
Impossibilism
Incompatibilism
Indeterminacy
Indeterminism
Infinities
Laplace's Demon
Libertarianism
Liberty of Indifference
Libet Experiments
Luck
Master Argument
Modest Libertarianism
Moral Necessity
Moral Responsibility
Moral Sentiments
Mysteries
Naturalism
Necessity
Noise
Non-Causality
Nonlocality
Origination
Paradigm Case
Possibilism
Possibilities
Pre-determinism
Predictability
Probability
Pseudo-Problem
Random When?/Where?
Rational Fallacy
Reason
Refutations
Replay
Responsibility
Same Circumstances
Scandal
Science Advance Fallacy
Second Thoughts
Self-Determination
Semicompatibilism
Separability
Soft Causality
Special Relativity
Standard Argument
Supercompatibilism
Superdeterminism
Taxonomy
Temporal Sequence
Tertium Quid
Torn Decision
Two-Stage Models
Ultimate Responsibility
Uncertainty
Up To Us
Voluntarism
What If Dennett and Kane Did Otherwise?

Philosophers

Mortimer Adler
Rogers Albritton
Alexander of Aphrodisias
Samuel Alexander
William Alston
Anaximander
G.E.M.Anscombe
Anselm
Louise Antony
Thomas Aquinas
Aristotle
David Armstrong
Harald Atmanspacher
Robert Audi
Augustine
J.L.Austin
A.J.Ayer
Alexander Bain
Mark Balaguer
Jeffrey Barrett
William Barrett
William Belsham
Henri Bergson
George Berkeley
Isaiah Berlin
Richard J. Bernstein
Bernard Berofsky
Robert Bishop
Max Black
Susanne Bobzien
Emil du Bois-Reymond
Hilary Bok
Laurence BonJour
George Boole
Émile Boutroux
F.H.Bradley
C.D.Broad
Michael Burke
Lawrence Cahoone
C.A.Campbell
Joseph Keim Campbell
Rudolf Carnap
Carneades
Ernst Cassirer
David Chalmers
Roderick Chisholm
Chrysippus
Cicero
Randolph Clarke
Samuel Clarke
Anthony Collins
Antonella Corradini
Diodorus Cronus
Jonathan Dancy
Donald Davidson
Mario De Caro
Democritus
Daniel Dennett
Jacques Derrida
René Descartes
Richard Double
Fred Dretske
John Dupré
John Earman
Laura Waddell Ekstrom
Epictetus
Epicurus
Herbert Feigl
Arthur Fine
John Martin Fischer
Frederic Fitch
Owen Flanagan
Luciano Floridi
Philippa Foot
Alfred Fouilleé
Harry Frankfurt
Richard L. Franklin
Michael Frede
Gottlob Frege
Peter Geach
Edmund Gettier
Carl Ginet
Alvin Goldman
Gorgias
Nicholas St. John Green
H.Paul Grice
Ian Hacking
Ishtiyaque Haji
Stuart Hampshire
W.F.R.Hardie
Sam Harris
William Hasker
R.M.Hare
Georg W.F. Hegel
Martin Heidegger
Heraclitus
R.E.Hobart
Thomas Hobbes
David Hodgson
Shadsworth Hodgson
Baron d'Holbach
Ted Honderich
Pamela Huby
David Hume
Ferenc Huoranszki
William James
Lord Kames
Robert Kane
Immanuel Kant
Tomis Kapitan
Walter Kaufmann
Jaegwon Kim
William King
Hilary Kornblith
Christine Korsgaard
Saul Kripke
Thomas Kuhn
Andrea Lavazza
Christoph Lehner
Keith Lehrer
Gottfried Leibniz
Jules Lequyer
Leucippus
Michael Levin
George Henry Lewes
C.I.Lewis
David Lewis
Peter Lipton
C. Lloyd Morgan
John Locke
Michael Lockwood
E. Jonathan Lowe
John R. Lucas
Lucretius
Alasdair MacIntyre
Ruth Barcan Marcus
James Martineau
Storrs McCall
Hugh McCann
Colin McGinn
Michael McKenna
Brian McLaughlin
John McTaggart
Paul E. Meehl
Uwe Meixner
Alfred Mele
Trenton Merricks
John Stuart Mill
Dickinson Miller
G.E.Moore
Thomas Nagel
Otto Neurath
Friedrich Nietzsche
John Norton
P.H.Nowell-Smith
Robert Nozick
William of Ockham
Timothy O'Connor
Parmenides
David F. Pears
Charles Sanders Peirce
Derk Pereboom
Steven Pinker
Plato
Karl Popper
Porphyry
Huw Price
H.A.Prichard
Protagoras
Hilary Putnam
Willard van Orman Quine
Frank Ramsey
Ayn Rand
Michael Rea
Thomas Reid
Charles Renouvier
Nicholas Rescher
C.W.Rietdijk
Richard Rorty
Josiah Royce
Bertrand Russell
Paul Russell
Gilbert Ryle
Jean-Paul Sartre
Kenneth Sayre
T.M.Scanlon
Moritz Schlick
Arthur Schopenhauer
John Searle
Wilfrid Sellars
Alan Sidelle
Ted Sider
Henry Sidgwick
Walter Sinnott-Armstrong
J.J.C.Smart
Saul Smilansky
Michael Smith
Baruch Spinoza
L. Susan Stebbing
Isabelle Stengers
George F. Stout
Galen Strawson
Peter Strawson
Eleonore Stump
Francisco Suárez
Richard Taylor
Teilhard de Chardin
Kevin Timpe
Mark Twain
Peter Unger
Peter van Inwagen
Manuel Vargas
John Venn
Kadri Vihvelin
Voltaire
G.H. von Wright
David Foster Wallace
R. Jay Wallace
W.G.Ward
Ted Warfield
Roy Weatherford
C.F. von Weizsäcker
William Whewell
Alfred North Whitehead
David Widerker
David Wiggins
Bernard Williams
Timothy Williamson
Ludwig Wittgenstein
Susan Wolf

Scientists

Michael Arbib
Walter Baade
Bernard Baars
Jeffrey Bada
Leslie Ballentine
Gregory Bateson
John S. Bell
Mara Beller
Charles Bennett
Ludwig von Bertalanffy
Susan Blackmore
Margaret Boden
David Bohm
Niels Bohr
Ludwig Boltzmann
Emile Borel
Max Born
Satyendra Nath Bose
Walther Bothe
Hans Briegel
Leon Brillouin
Stephen Brush
Henry Thomas Buckle
S. H. Burbury
Donald Campbell
Anthony Cashmore
Eric Chaisson
Gregory Chaitin
Jean-Pierre Changeux
Arthur Holly Compton
John Conway
John Cramer
Francis Crick
E. P. Culverwell
Antonio Damasio
Olivier Darrigol
Charles Darwin
Richard Dawkins
Terrence Deacon
Lüder Deecke
Richard Dedekind
Louis de Broglie
Stanislas Dehaene
Max Delbrück
Abraham de Moivre
Paul Dirac
Hans Driesch
John Eccles
Arthur Stanley Eddington
Gerald Edelman
Paul Ehrenfest
Albert Einstein
Hugh Everett, III
Franz Exner
Richard Feynman
R. A. Fisher
David Foster
Joseph Fourier
Philipp Frank
Steven Frautschi
Edward Fredkin
Lila Gatlin
Michael Gazzaniga
GianCarlo Ghirardi
J. Willard Gibbs
Nicolas Gisin
Paul Glimcher
Thomas Gold
A. O. Gomes
Brian Goodwin
Joshua Greene
Jacques Hadamard
Mark Hadley
Patrick Haggard
J. B. S. Haldane
Stuart Hameroff
Augustin Hamon
Sam Harris
Hyman Hartman
John-Dylan Haynes
Donald Hebb
Martin Heisenberg
Werner Heisenberg
John Herschel
Art Hobson
Jesper Hoffmeyer
E. T. Jaynes
William Stanley Jevons
Roman Jakobson
Pascual Jordan
Ruth E. Kastner
Stuart Kauffman
Martin J. Klein
William R. Klemm
Christof Koch
Simon Kochen
Hans Kornhuber
Stephen Kosslyn
Ladislav Kovàč
Leopold Kronecker
Rolf Landauer
Alfred Landé
Pierre-Simon Laplace
David Layzer
Joseph LeDoux
Benjamin Libet
Seth Lloyd
Hendrik Lorentz
Josef Loschmidt
Ernst Mach
Donald MacKay
Henry Margenau
James Clerk Maxwell
Ernst Mayr
John McCarthy
Warren McCulloch
George Miller
Stanley Miller
Ulrich Mohrhoff
Jacques Monod
Emmy Noether
Alexander Oparin
Abraham Pais
Howard Pattee
Wolfgang Pauli
Massimo Pauri
Roger Penrose
Steven Pinker
Colin Pittendrigh
Max Planck
Susan Pockett
Henri Poincaré
Daniel Pollen
Ilya Prigogine
Hans Primas
Adolphe Quételet
Jürgen Renn
Juan Roederer
Jerome Rothstein
David Ruelle
Tilman Sauer
Jürgen Schmidhuber
Erwin Schrödinger
Aaron Schurger
Claude Shannon
Charles Sherrington
David Shiang
Herbert Simon
Dean Keith Simonton
B. F. Skinner
Lee Smolin
Ray Solomonoff
Roger Sperry
John Stachel
Henry Stapp
Tom Stonier
Antoine Suarez
Leo Szilard
Max Tegmark
William Thomson (Kelvin)
Giulio Tononi
Peter Tse
Vlatko Vedral
Heinz von Foerster
John von Neumann
John B. Watson
Daniel Wegner
Steven Weinberg
Paul A. Weiss
John Wheeler
Wilhelm Wien
Norbert Wiener
Eugene Wigner
E. O. Wilson
Stephen Wolfram
H. Dieter Zeh
Ernst Zermelo
Wojciech Zurek
Konrad Zuse
Fritz Zwicky

Presentations

Biosemiotics
Free Will
Mental Causation
James Symposium

 
Stochastic Processes
In probability theory, stochastic processes are random (indeterministic) processes that are contrasted with deterministic processes.

Stochasticity is judged by the distribution of randomness in the process.

Computer-generated stochastic noise may consist of random binary number sequences (1's and 0's). As long as the sequence is random, no statistical correlations or detectable patterns in the sequence, it is described as stochastic.

The Wiener process, is a mathematical construct based on white noise with a Gaussian probability distribution.

Many naturally occurring processes exhibit stochasticity, including the Brownian motion of tiny particles suspended in a liquid.

The atmosphere is considered a source of stochastic noise by Random.org. They use radio antennae tuned between radio stations to generate random digit patterns from "atmospheric" noise.

Whether this noise is genuinely random in the sense of irreducible quantum randomness is a question of the relationship between thermal noise and quantal noise.

Ultimately, this relationship depends on whether a classical gas is entirely deterministic (cf., deterministic chaos), and whether binary collisions of gas particles can be treated deterministically or must be treated quantum mechanically. If they are deterministic, then collisions are in principle time reversible.

In quantum mechanics, microscopic time reversibility is taken to mean that the deterministic linear Schrödinger equation is time reversible.

A careful quantum analysis shows that ideal reversibility fails even in the simplest conditions - the case of two particles in collision.

When they collide, even structureless particles should not be treated as individual particles with single-particle wave functions, but as a single system with a two-particle wave function, because they are now entangled.

Treating two atoms as a temporary molecule means we must use molecular, rather than atomic, wave functions. The quantum description of the molecule now transforms the six independent degrees of freedom into three for the molecule's center of mass and three more that describe vibrational and rotational quantum states.

The possibility of quantum transitions between closely spaced vibrational and rotational energy levels in the "quasi-molecule' introduces uncertainty, which could be different for the hypothetical perfectly reversed path.

In information science, noise is generally the enemy of information. But some noise is the friend of freedom, since it is the source of novelty, of creativity and invention, and of variation in the biological gene pool. Too much noise is simply entropic and destructive. With the right level of noise, the cosmic creation process is not overcome by the chaos.

When information is stored in any structure, from galaxies to minds, two fundamental physical processes occur. First is a collapse of a quantum mechanical wave function. Second is a local decrease in the entropy corresponding to the increase in information. Entropy greater than that must be transferred away to satisfy the second law of thermodynamics.

If wave functions did not collapse, their evolution over time would be completely deterministic and information-preserving. Nothing new would emerge that was not implicitly present in the earlier states of the universe.

It is ironic that noise, in the form of quantum mechanical wave function collapses, should be the ultimate source of new information (low or negative entropy), the very opposite of noise (positive entropy).

Because quantum level processes introduce noise, information stored may have errors. When information is retrieved, it is again susceptible to noise, This may garble the information content.

Despite the continuous presence of noise around them and inside them, biological systems have maintained and increased their invariant information content over billions of generations. Humans increase our knowledge of the external world, despite logical, mathematical, and physical uncertainty. Biological and intellectual information handling balance random and orderly processes by means of sophisticated error detection and correction schemes. The scheme we use to correct human knowledge is science, a combination of freely invented theories and adequately determined experiments.

In Biology
Molecular biologists have assured neuroscientists for years that the molecular structures involved in neurons are too large to be affected significantly by quantum noise.

But neurobiologists know very well that there is noise in the nervous system in the form of spontaneous firings of an action potential spike, thought to be the result of random chemical changes at the synapses. This may or may not be quantum noise amplified to the macroscopic level.

But there is no problem imagining a role for randomness in the brain in the form of quantum level noise that affects the communication of knowledge. Noise can introduce random errors into stored memories. Noise can create random associations of ideas during memory recall.

Molecular biologists know that while most biological structures are remarkably stable, and thus adequately determined, quantum effects drive the mutations that provide variation in the gene pool. So our question is how the typical structures of the brain have evolved to deal with microscopic, atomic level, noise - both thermal and quantal noise. Can they ignore it because they are adequately determined large objects, or might they have remained sensitive to the noise for some reason?

We can expect that if quantum noise, or even ordinary thermal noise, offered beneficial advantages, there would have been evolutionary pressure to take advantage of noise.

Proof that our sensory organs have evolved until they are working at or near quantum limits is evidenced by the eye's ability to detect a single photon (a quantum of light energy), and the nose's ability to smell a single molecule.

Biology provides many examples of ergodic creative processes following a trial and error model. They harness chance as a possibility generator, followed by an adequately determined selection mechanism with implicit information-value criteria.

Darwinian evolution is the first and greatest example of a two-stage creative process, random variation followed by critical selection, but we will consider briefly two other such processes. Both are analogous to our two-stage Cogito model for the mind. One is at the heart of the immune system, the other provides quality control in protein/enzyme factories.

Stochastic Noise in the Cogito model
The insoluble problem for previous two-stage models has been to explain how a random event in the brain can be timed and located - perfectly synchronized! - so as to be relevant to a specific decision. The answer is it cannot be, for the simple reason that quantum events are totally unpredictable.

The Cogito solution is not single random events, one per decision, but many random events in the brain as a result of ever-present noise, both quantum and thermal noise, that is inherent in any information storage and communication system.

The mind, like all biological systems, has evolved in the presence of stochastic noise and is able to ignore that noise, unless the noise provides a significant competitive advantage, which it clearly does as the basis for freedom and creativity.

The only reasonable model for an indeterministic contribution is ever-present stochastic noise throughout the neural circuitry. We call it the Micro Mind.

Quantum (and even some thermal) noise in the neurons is all we need to supply random unpredictable alternative possibilities.

Not that indeterminism is NOT involved in the de-liberating Will.

The major difference between Micro and Macro is how they process noise in the brain circuits. The first accepts it, the second suppresses it.

Our "adequately determined" Macro Mind can overcome the noise whenever it needs to make a determination on thought or action.

For Teachers
For Scholars

Chapter 3.7 - The Ergod Chapter 4.2 - The History of Free Will
Part Three - Value Part Five - Problems
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