Jason Barnett
A Markov Model fo Audio Signals
(or: Information Calculations with Finite Strings)

Nice intro.
L = 1, 2
could also use longer inter-sample interval, tau

Calculate MI(tau) for this as a function of that sample interval

(Class should have addressed continuous-value and continuous-time
signals and relate to discrete-time theory we talk about.)

(How to optimize binning of continuous signals.)

(How to crudely estimate number of samples.

Nice study of entropy roll-off due at long word lengths.

2. Franz Bozsak
The Lorenz System in 6D

Nice intro and explanation of convective flow
Navier-Stokes intro
Lorenz's approximation

Nice simulation of N-S eqns.

3. Shane Celis & Yun Tao
Musings on the Logistic Map

Relationship between entropy rate and Lyapunov exponent

What happens when you take a fine partition, how does entropy rate
limit on LCE?

Nice review of population ecology interpretation of logistic map.

Look at short sequences to capture transient behaviors.

Transient uncertainty (L = 1, |partition| = 2, 4, 8)

Ecological interpretation: trade-off between partition resolution
and apparent entropy rate (transient entropy).

5. Ryan James
1+1 Entropies for Cellular Automata

Interesting results on block entropies and asymmetries in the
velocity of highest entropy rate.

6. Ben Johnson
Quantum Computation and Quantum Information

Nice historical review.

Quantum comp review: ok.

How are bits and qubits different: good.

Reviewed Deutsch quantum algorithm.

Mentioned extensions where classical is exp'l in n, quantum 1
call.

Simon's problem. Probabilistic computation.

Shor algorithm.

Grover's search algorithm.
Quadratic speed up to NP complete problems.

Quantum information review.
von Neumann entropy
density matrices

Negative condition quantum entropy

6. Paul Smaldino
Does Learning Mean a Decrease in Entropy?

Spatial Exploration
Cognitive science, animal behavior motivation

Learning as entropy decrease?

RoMADS review

Reinforcement learning review, and as applied to RoMADS, Monte Carlo RL

Entropies of policies: states and action entropy
Estimates as L = 1 for each new policy

Interpretation:
	Nice interpretation of learning as an oscillation between learning
	(decrease), boredom and learning new things (entropy increase), learn
	again (decrease), ...

7. Ruggero Tacchi
Interplanetary Transportation Networks

Reviewed a dissertation on this.

Nice explanations. Good understanding.

Laptop crashed and lost his work.

Kinds of orbits

8. Nick Travers
Computational Mechanics of ECAs, and Machine Metrics

V. good, short but just like the excellent group meeting talk.

9. Richard Watson
What One Neuron Said to Another

Neural network review

Entropy of distribution of network activity configurations

Shifted mutual information

Tested on various architectures

Cause and effect v. correlation (reflected by MI).

Discussed transients.

Conjectured about intermediate entropy values being interesting.

Projects for Watson:
	o Conditional mutual information
	o eM reconstruction
	o Coherence
	o More detailed exploration of trajectory he's on.

10. Juliette Zerick
The Armagedon Equations

Disarmament
WMD

Series of discrete-time iterated equations for state, insurgency,
economic, and other players

Lots of terms.
Form of the equations, unfamiliar to me. Looked a lot like
population dynamical or replicator equations.