Barbora Hudcova: more formal classification of ECAs using their transition lengths
3) Towards metrics of complexity: Occam's razor, Minimum description length, Kolmogorov complexity, Algorithmic probability
The Quark and The Jaguar, Murray Gell-Mann: measures of complexity proposed by Gell-Mann
4) Hugo Cisneros: Evolving Structures in Complex Systems
metric of structured complexity based on compression algorithms
5) Von Neumann's Self-Reproducing Automata, A. W. Burks
maybe the first attempt to design non-trivial self-reproducing systems capable of evolution
6) Studying Artificial Life with Cellular Automata, C. G. Langton
mathematical structures that can have similar properties to how we define life: self-reproduction, evolution
7) Other related topics:
Genetic Algorithms, J. Holland
We will discuss the basic ideas behind evolutionary and genetic algorithms and genetic programming, and compare these algorithms with the previously discussed
attempts to design objects that can evolve.
Neuroevolution
Evolving neural networks through augmenting topologies, K. O. Stanley and R. Miikkulainen
Another attempt to simulate evolution that uses neural networks. In this talk, we will briefly discuss the basics of artificial neural networks, and extend these to
models that can grow in complexity.
Last update: doc. Mgr. et Mgr. Jan Žemlička, Ph.D. (15.05.2020)
1) AI, Generalization, and Unsupervised Learning
history: Computing Machinery and Intelligence, A. Turing
present: deep learning, neural networks
possible future: more generalization from less training examples
evolution as an inspiration for AI research instead of neuroscience (the brain)
Barbora Hudcova: more formal classification of ECAs using their transition lengths
3) Towards metrics of complexity: Occam's razor, Minimum description length, Kolmogorov complexity, Algorithmic probability
The Quark and The Jaguar, Murray Gell-Mann: measures of complexity proposed by Gell-Mann
4) Hugo Cisneros: Evolving Structures in Complex Systems
metric of structured complexity based on compression algorithms
5) Von Neumann's Self-Reproducing Automata, A. W. Burks
maybe the first attempt to design non-trivial self-reproducing systems capable of evolution
6) Studying Artificial Life with Cellular Automata, C. G. Langton
mathematical structures that can have similar properties to how we define life: self-reproduction, evolution
7) Other related topics:
Genetic Algorithms, J. Holland
We will discuss the basic ideas behind evolutionary and genetic algorithms and genetic programming, and compare these algorithms with the previously discussed
attempts to design objects that can evolve.
Neuroevolution
Evolving neural networks through augmenting topologies, K. O. Stanley and R. Miikkulainen
Another attempt to simulate evolution that uses neural networks. In this talk, we will briefly discuss the basics of artificial neural networks, and extend these to