Difference between revisions of "Randomness, Structure and Causality - Participants"

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<td>Tononi, Guilio</td>
<td>Tononi, Guilio</td>
<td>University of Michigan</td>
<td>University of Wisconsin</td>
<td>Measuring the Complexity of Psychological States </td>
<td>Measuring the Complexity of Psychological States </td>

Revision as of 00:50, 5 January 2011

Workshop Navigation

Name Email Institution Talk Paper
*Ay, Nihat SFI & Max Planck Institute Effective Complexity of Stationary Process Realizations [[1]]
*Bell, Tony UC Berkeley Learning Out of Equilibrium
*Bettencourt, Luis SFI & LANL Identification of Functional Information Subgraphs in Complex Networks [[2]]
*Chaitin, Gregory IBM Watson Research Center To a Mathematical Theory of Evolution and Biological Creativity Paper
*Crutchfield, James SFI & UC Davis Framing Complexity [[3]]
*Debowski, Lukasz Polish Academy of Sciences The Vocabulary of Grammar-Based Codes and the Logical Consistency of Texts [[4]] and [[5]]
*Ellison, Christopher UC Davis Prediction, Retrodiction, and the Amount of Information Stored in the Present [[6]]
*Feldman, David College of the Atlantic Complexity Measures and Frustration Paper 1 and Paper 2
*Mahoney, John UC Merced Crypticity and Information Accessibility [[7]]
*Machta, Jon SFI & University of Massachusetts Complexity, Parallel Computation and Statistical Physics [[8]]
*Mitchell, Melanie SFI & Portland State University Automatic Identification of Information-Processing Structures in Cellular Automata
*Moore, Cris moore@cs.unm SFI & University of New Mexico Phase Transitions and Computational Complexity
*Shaw, Robert Stetson ProtoLife, Inc. Thermodynamics and Local Complexity of Domino Gases
*Still, Suzanne University of Hawaii at Manoa Statistical Mechanics of Interactive Learning
Tononi, Guilio University of Wisconsin Measuring the Complexity of Psychological States
*Vilela-Mendes, Rui University of Lisbon Ergodic Parameters and Dynamical Complexity [[9]]
Trabesinger, Andreas Nature Physics Magazine Measuring Complexity? [[10]]
*Wiesner, Karoline University of Bristol Hidden Quantum Markov Models and Non-adaptive Read-out of Many-body States [[11]]