Conferences

Watch this space!

25. Tschantz, A., Millidge, B., Seth, A.K., and Buckley, C.L. (2020). Control as hybrid inference. International Conference on Machine Learning.

24. Tschantz, A., Baltieri, M., Seth, A.K., and Buckley, C. (2020). Scaling active inference. International Joint Conference on Neural Networks 2020.

23. Tschantz, A., Millidge, B., Seth, A.K., and Buckley, C. (2020). Reinforcement learning through active inference. 8^th International Conference on Learning Representations.

22. Suzuki, K., Roseboom, W., Schwartzman, D.S., and Seth, A.K. (2018). Hallucination machine: Simulating altered perceptual phenomenology with a deep-dream virtual reality platform. In T. Ikegami et al. (eds.) Alife 2018: Proceedings of the Artificial Life Conference 2018, MIT Press, Cambridge, MA.

21. Seth, A.K. (2008). Measuring emergence via nonlinear autoregressive modelling. In S. Bullock et al. (eds.) Artificial Life XI: Proceedings of the Eleventh International Conference on the Simulation and Synthesis of Living Systems, pp.545-553. MIT Press, Cambridge, MA.

20. Bermudez, E., Philippides, A., and Seth, A.K. (2008). Navigational strategies for learning in visual recognition. In S. Bullock et al. (eds.) Artificial Life XI: Proceedings of the Eleventh International Conference on the Simulation and Synthesis of Living Systems, pp.41-49. MIT Press, Cambridge, MA.

19. Chorley, P., and Seth, A.K. (2008). Closing the sensory-motor loop on dopamine signalled reinforcement learning. In M. Asada et al. (Eds.) From Animats to Animals 10, The Tenth International Conference on the Simulation of Adaptive Behavior. LNAI 5040, pp. 280–290, Springer-Verlag, Berlin.

18. Grespan, L., Froese, T., Di Paolo, E., Seth, A.K., Spiers, A., and Bigge, W. (2008). Investigation of the role of movement in the constitution of spatial perception using the Enactive Torch. In Proceedings of the 5th International Conference on Enactive Interfaces.

17. Seth, A.K. (2007). Measuring autonomy by multivariate autoregressive modeling. In F. Almeida e Costa et al. (Eds.), Proc 9^th European Conference on Artificial Life, pp.475-485.

16. Bermudez-Contreras, E. and Seth, A.K. (2007). Simulations of simulations in evolutionary robotics. In Almeida e Costa et al. (Eds.) Proc 9^th European Conference on Artificial Life, pp.796-806. Springer.

15. Seth, A.K. (2006). Causal networks in neural systems: From water mazes to consciousness. In Aleksander, I. et al. (Eds).  Proc.2006 Meeting on Brain Inspired Cognitive Systems, pp.21-31. Springer.

14. Seth, A.K., McKinstry, J.L., Edelman.G.M., and Krichmar, J.L. (2004). Spatiotemporal processing of whisker input supports texture discrimination by a brain-based device. In S. Schaal et al. (Eds.) Proc. 8^th Int. Conf. on the Simulation of Adaptive Behavior, pp. 130-139.

13. Seth, A.K., McKinstry, J.L., Edelman.G.M., and Krichmar, J.L. (2004). Texture discrimination by an autonomous mobile brain-based device with whiskers. Proc IEEE.. Conf. on Robotics and Automation. pp. 4295-4930. IEEE Press.

12. Seth, A.K., McKinstry J.L., Edelman G.M., and Krichmar J.L. (2003). Visual binding, reentry, and neuronal synchrony in a physically-situated brain-based device. In C.G. Prinze et al. (eds). Proc. 3^rd Int. Workshop on Epigenetic Robotics. pp. 177-179. Lund University Cognitive Studies.

11. Seth, A.K. (2002). Competitive foraging, decision making, and the ecological rationality of the matching law. In B. Hallam et al. (eds). Proc. 7^th Int. Conf. on the Simulation of Adaptive Behavior. pp. 359-368. MIT Press.

10. Seth, A.K. (2002). Agent-based modelling and the environmental complexity thesis. In B. Hallam et al. (eds). Proc. 7^th Int. Conf. on the Simulation of Adaptive Behavior. pp. 13-24. MIT Press.

9. Seth, A.K. (2002). Distinguishing adaptive from non-adaptive evolution using Ashby’s law of requisite variety. Proc. IEEE Congress on Evolutionary Computing. pp. 1163-69, IEEE Press.

8. Seth, A.K. (2001). Spatially explicit models of forager interference. In J. Kelemen and P. Sosik (eds.) Proc 6^th European Conference on Artificial Life. pp. 151-162, Springer-Verlag.

7. Seth, A.K. (2000). Unorthodox optimal foraging theory. In J.-A. Meyer et al. (eds.), Proc. 6^th International Conference on the Simulation of Adaptive Behavior. pp. 478-481, MIT Press.

6. Seth, A.K. (1999). Evolving behavioural choice: An investigation of Herrnstein’s matching law. In D. Floreano et al. (eds.), Proc. 5^th European Conference on Artificial Life. pp. 225-236. Springer-Verlag.

5. Seth, A.K. (1999). A cybernetic perspective on the role of noise in the iterated prisoner’s dilemma. In A. Ochoa et al. (eds.), AI Symposium, Second International Conference on Cybernetics, Applied Mathematics and Physics. Editorial Academia.

4. Seth, A.K. (1998). Evolving action selection and selective attention without action, attention, or selection. In R. Pfeifer et al. (eds.), Proc. 5^th International Conference on the Simulation of Adaptive Behavior. pp. 139-147. MIT Press. (Also in Russian).

3. Seth, A.K. (1998). The evolution of complexity and the value of variability. In C. Adami et al. (eds.), Proc. 6^th International Conference on Artificial Life. pp. 209-221. MIT Press.

2. Seth, A.K. (1998). Noise and the pursuit of complexity: A study in evolutionary robotics. In P. Husbands & J.-A. Meyer (eds.), Proc. 1^st European Conference on Evolutionary Robotics. pp. 123-136. Springer-Verlag.

1. Seth, A.K. (1997). Interaction, uncertainty, and the evolution of complexity. In P. Husbands & I. Harvey (eds.), Proc. 4^th European Conference on Artificial Life. pp. 512-530. MIT Press.