Language adaptation helps language acquisition. In From Animals to Animats: Proceedings of the 7th Conference on the Simulation of Adaptive Behavior.. (2002).
Social patterns guide evolving grammars. In Evolution of Language 2000.. (2000).
The importance of social learning in the evolution of cooperation and communication. Behavioral and Brain Sciences.. (2002).
Selective advantages of syntactic language: a model study. In Proceedings of the 22nd Annual Meeting of the Cognitive Science Society (pp. 577-582). Mahwah, New Jersey: Lawrence Erlbaum Associates.. (2000).
Evolution of syntax in groups of agents. Theoretical Biology, Utrecht University. Retrieved from http://www.isrl.uiuc.edu/ amag/langev/paper/zuidema00evolutionOf.html. (2000).
Emergent syntax: the unremitting value of computational modeling for understanding the origins of complex language. In , Advances in Artificial Life (Proceedings 6th European Conference on Artificial Life, Prague) (Vol. 2159, pp. 641-644). Berlin: Springer.. (2001).
Knowledge Gradient for Multi-objective Multi-armed Bandit Algorithms. In The French Meeting on Planning, Decision Making and Learning (JFPDA). presented at the 2014.. (2014).
Multivariate Normal Distribution Based Multi-Armed Bandit Pareto Algorithm. In the 7th European conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (EMCL/PKDD), PhD track. presented at the 2014.. (2014).
Knowledge Gradient for Multi-objective Multi-armed Bandit Algorithms. In ICAART 2014 : International Conference on Agents and Artificial Intelligence.. presented at the 03/2014.. (2014).
Linear Scalarized Knowledge Gradient in the Multi-Objective Multi-Armed Bandits Problem. In European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2014). presented at the 04/2014.. (2014).
Exploration vs Exploitation in the Multi-Objective Multi-Armed Bandit Problem. In International Joint Conference on Neural Networks (IJCNN). presented at the 07/2014, Beijng: IEEE.. (2014).
Annealing-Pareto Multi-Objective Multi-Armed Bandit Algorithm. In proceedings of IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning(ADPRL). presented at the 12/2014.. (2014).
Shortest Path Gaussian Kernels for State Action Graphs: An Empirical Study. In The 24th Benelux Conference on Artificial Intelligence (BNAIC). Maastricht, The Netherlands.. (2012).
Online Knowledge Gradient Exploration in an Unknown Environment. The 6th International Conference on Agents and Artificial Intelligence (ICAART). LERIA, University of Angers, France.. (2014).
The Exploration vs Exploitation Trade-Off in the Multi-Armed Bandit Problem: An Empirical Study. Proceedings of the 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN). presented at the 04/2012, Bruges, Belgium.. (2012).
“Knowledge Gradient Exploration in Online Kernal-Based LSPI. In The 25th Benelux Conference on Artificial Intelligence (BNAIC). Delft, The Netherlands.. (2013).
Empirical Evaluation of Shortest Path Gaussian Kernels over State Action Graphs. The 5th International Conference on Agents and Artificial Intelligence (ICAART). Barcelona, Spain.. (2013).
Emerging languages in Esoteric and Exoteric Niches: Evidence from Rural Sign Languages. Ways to Protolanguage. Retrieved from http://www.wsf.edu.pl/58354.xml. (2013).
Model-Based Multi-Objective Reinforcement Learning. In ADPRL. presented at the 12/2014, Orlando, Florida, USA: IEEE.. (2014).
Dynamics of Mutant Cells in Hierarchical Organized Tissues. PLoS Comput Biol, 7, e1002290. presented at the 12. doi:10.1371/journal.pcbi.1002290. (2011).
Coping with Combinatorial Uncertainty in Word Learning: A Flexible Usage-Based Model. In , The Evolution of Language. Proceedings of the 7th International Conference (EVOLANG 7) (pp. 370–377). Singapore: World Scientific Press.. (2008).