This is an ongoing process of organizing into one united list
All the web lectures and Executable Simulations
I've used with various audiences across the years
All have a unique flavor of their own but may be redundant in some ways to other versions of the lecture
There are too many of these talks located at too many urls:
So if one link is broken try another
The urls come and go without my necessarily knowing about it
These Web Lectures support lectures and talks I give (more or less like Power Point slides). For my own reasons I think web pages are much more flexible and interesting than presentation software so I use web pages as my visual/audio support. You are welcome to look at these web lectures but don't expect too much: They are not stand-alone material; they are meant to have me talking about them.
Furthur down this page are a series of exectuble that can be used to demonstrate and teach nonlinear dynamics.
Discrete Boolean Derivatives (TAO)
Differences in Differences (And Perceptual Hierarchies)
Derivative Equality as a dynamic model of Abstracting Concepts from a single instance
A different link to Abstraction (same web lecture)
Symmetry Theory and Boolean Landscapes
Knowing in a World of Broken Symmetries
Presentation at Society for Chaos Theory, July 2007This is a pretty good summary of all the Discrete Dynamic Systems ideas: E42, TAO, Meta-TAO, and Phase Portraits
Dynamic Form Perception as Phase Relations
Dynamic Form Perception (Early ideas)
Dynamic Form Perception (CNS Presentation)
Dynamic Form Perception (SCTPLS Presentation)
Dynamic Form Perception as Phase Relations (representation plays no part in this model) (This is a typed manuscript of the same publication that you can download as galley proofs on the "Readings" page)
Classic Apparent Motion Applets
Epistemology
Representation as a construct and some alternatives
Basic Cognitive Science approach to Representation (Marr)
Kinds and Utility of Representation (Bostic St Clair & Grinder)
Enactment as an alternative to Representation (Valera, Thompson, & and Rosch)
Dynamic Form Perception (Early ideas)
Dynamic Form Perception as Phase Relations (Representation plays no part in this model)
An Introduction to Batesonian Epistemology
Two Logics: The Logic of Logic and the Logic of Dreaming
The Meta-Myth Link
Quantity, Quality, Intuition, and How Scientists Can know Pattern
Ecology of Emergence: SCTPLS Paper Presentation
The Embodiment of Mind, McCulloch What is a number, Intuition in Transformation Grammar, Keller (Aha!)
In search of a Pattern Language:Averaging Patterns versus Relational Emergence
Average a Picasso with a Monet using numbers; Average one person's (love, creativity, ...) with another person's (love, creativity, ...) using numbers.
Relations between Boolean Networks and the Boolean Landscapes that Emerge from them
No Web Lectures yet
EXECUTABLE WEB APPS DEMONSTRATING DYNAMIC PHENOMENA
Chaos
This is an applet that runs the logistic equation. No Instructions. Looks bleak when you open it but just choose a "fractal". If you're into the logistic map the options will give you stuff you will love for the purposes of demonstration and teaching.
Hysteresis
This is an applet that creates a bifurcated potential well. A red ball run down into the well. Controls let you demonstrate hysteresis. . No Instructions. Looks bleak when you open it but just choose a "Tool". If you're into hysteresis you'll probably figure out how to run the controls. Main thing to know: drag the purple square at the bottom right or left to move the ball up the sides of the well. Then play with all the controls. One of the controls is the ball's "stickiness" or friction which controls how fast it falls and therefore its momentum.
Conway's Game of Life
E42 is a more general system than Cellular Automata; therefore we can build CA in the E42 (with some limitations). This applet uses E42 to generate one example of Conway's famous cellular automaton, Life. It is a demonstration interface and does not allow you to change the rules of Life. You can however, either globally or cell by cell, adjust which cells are on and off. Because this is an New Media executable, you cannot program it they way you can program E42. But it is a fun example of the Game of Life. [Applet]
Level Dance
An engineered example demonstrating emergence. (not burnt for the web)
E42 Executables.
E42 simulates dynamic systems. As such, even for a saved E42 file, the dynamics it exhibits rarely repeat. This is as it should be for dynamic systems. But it is sometimes frustrating. Occassionally a dynamic phenomena is "spotted in the wild"; once the program is closed may never be seen again. So we have developed "New Media Software" that can capture an exact moment in E42 and turn it into an executable that, wild it remains dynamic, is much more constrained and therefore can be used to demonstrate specific conceptual points and interesting phenomena over and over. The executables aren't so limited as a movie but are more like a small video game where the parameters are constrained and predictable things happen.
Get the New Media Toolkit: Find the Applet for making New-Media executables from E42 here: [Applet ] Create CD's or Interactive Web Pages
Options for how E42 represents its dynamics
Kauffman's Twinkling Nodes
4-Node Standard Twinkling Nodes [ Applet ]
Genius - A more Complex Example of Twinkling Nodes [ Applet ]
Sound: How sound communicates dynamical patterns:
Twinkling Nodes & Sound Representations for a dynamic system with long tributariesTwinkling Nodes & Sound Representations for a dynamic system with long tributaries [ Applet ]
How do tributaries effect our ability to perceive dynamic pattern?
[ Applet ]Historical Trace [ Applet ]
4-Node Standard Historical Trace [ Applet ]
Genius - A more Complex Example of Historical Trace [ Applet ]Dynamic Form (see below)
Dynamic Derivatives
The Flow of TAO Derivatives out from a Basin [ Applet ]
We can think of the process of taking derivatives as a dynamic process that could be ongoing in a system.
Dynamic Form Demonstrations
EXEMPLAR 1: Perceiving Fundamental Frequences of a System through Apparent Motion: Cycles & sub-Cycles [ Applet ]
This example has Good Supportive Text with Images highlighting cycles and subcycles a dynamic system. Demonstrates how the human perceptual capabilities that result in the illusion of Apparent Motion might could act as a mechanism for extracting the cycles and sub-cycles of a complex dynamic system. (Onlinedata archive)
Perceiving Dynamic Patterns through Apparent Motion: Basins & Sub-basins [ Applet ]
A second example with good text and 3 experiments
EXEMPLAR 2: Perceiving Emergent Dynamics [ Applet ]
This applet shows how our apparent motion neurology allows us to perceive general emergent patterns in a complex dynamic scene (when these emergent patterns are technically not a basin or sub-basin of the system). Good supporting text and several experiments.
EXEMPLAR 3: Layered Emergent Dynamics [ Applet ]
This applet shows complex abstract patterns can flow across each other in different directions and at different rates. It lays a foundation for how the human visual system may extract coherent patterns that can be static or moving.
Morphogenesis