References

Books

Adami, C. (1998). Introduction to Artificial Life.

Anderson, J. R. (2007). How Can the Human Mind Occur in the Physical Universe?

Clark, A. (1997). Being There.

Gerstner, W., & Kistler, W. (2002). Spiking Neuron Models.

Holland, J. H. (1975). Adaptation in Natural and Artificial Systems.

Kelso, J. A. S. (1995). Dynamic Patterns: The Self-Organization of Brain and Behavior.

Koza, J. R. (1992). Genetic Programming.

Newell, A. (1994). Unified Theories of Cognition.

Oyama, S. (2000). The Ontogeny of Information.

Rumelhart, D. E., Hinton, G. E., & Williams, R. J. (1986). Learning internal representations by error propagation.

Sutton, R. S., & Barto, A. G. (2018). Reinforcement Learning: An Introduction.

Varela, F., Thompson, E., & Rosch, E. (1991). The Embodied Mind.

Amit, D. J. (1989). Modeling Brain Function: The World of Attractor Neural Networks. Cambridge University Press.

Opper, M., & Saad, D. (Eds.) (2001). Advanced Mean Field Methods: Theory and Practice. MIT Press.

Articles

Friston, K. (2010). The Free-Energy Principle. Nature Reviews Neuroscience.

Hopfield, J. J. (1982). Neural networks and physical systems with emergent collective computational abilities. Proceedings of the National Academy of Sciences, 79(8), 2554–2558.

Jaeger, H. (2001). The "Echo State" Approach.

LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep learning. Nature.

Maass, W., Natschläger, T., & Markram, H. (2002). Real-Time Computing Without Stable States.

Ray, T. (1991). An approach to the synthetic biology of digital organisms. Artificial Life II.

Shmulevich, I., Dougherty, E. R., Kim, S., & Zhang, W. (2002). Probabilistic Boolean networks: A rule-based uncertainty model for gene regulatory networks. Bioinformatics, 18(2), 261–274.

Shmulevich, I., Dougherty, E. R., & Zhang, W. (2002). Gene perturbation and intervention in probabilistic Boolean networks. Bioinformatics, 18(10), 1319–1331.

Stanley, K. O., et al. (2009). A Hypercube-Based Encoding for Evolving Large-Scale Neural Networks. Artificial Life.

Conference Proceedings

Stanley, K. O., & Miikkulainen, R. (2002). Evolving neural networks through augmenting topologies. Evolutionary Computation.