Difference between revisions of "Research themes"
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* Information theory of evolution and development. | * Information theory of evolution and development. | ||
* Information theory at the universe and subsystem scales. | * Information theory at the universe and subsystem scales. | ||
+ | * Neural networks as paradigme to self-organization of complex networks. | ||
* Non-equilibrium dissipative structures at the universe and subsystem scales. | * Non-equilibrium dissipative structures at the universe and subsystem scales. | ||
* Philosophy with organic and computational features at the universe and subsystem scales. | * Philosophy with organic and computational features at the universe and subsystem scales. |
Revision as of 08:47, 2 June 2008
EDU Research Themes - A Partial List
- Anthropic bias and observer selection effects.
- Anthropic, fine-tuning, and multiverse/ensemble models in cosmology.
- Acceleration studies at the universe and subsystem scales.
- Astrobiology, Fermi paradox, and SETI.
- Complexity, emergence, ergodicity, and nonlinear science models with organic and computational features.
- Computational models and analogies applied at the universe and subsystem scales.
- Computer science, cognitive science, and other models of intelligence at all systems scales.
- Cosmological natural selection (CNS) and CNS with a role for internal intelligence (CNS-I)
- Cosmology with organic and computational features.
- Directionality and convergent evolution in macrobiological systems.
- Evolutionary and developmental processes in evo-devo and theoretical biology.
- Evolutionary and developmental processes in non-biological systems (physical, chemical, cultural, technological).
- Hierarchy, modularity, and self-organization theory at the universe and subsystem scales.
- Information theory of evolution and development.
- Information theory at the universe and subsystem scales.
- Neural networks as paradigme to self-organization of complex networks.
- Non-equilibrium dissipative structures at the universe and subsystem scales.
- Philosophy with organic and computational features at the universe and subsystem scales.
- Scale invariance and self-similarity models at the universe and subsystem scales.
- Self-reference, iteration, and recursion models at the universe and subsystem scales.
- Statistical/probabilistic distributions and predictability at the universe and subsystem scales.
- Systems models relating physical, chemical, biological, cultural, and technological (PCBCT) subsystems
- Systems theory with organic and computational features.