Items where Author is "Mondragon, E."
Article
Kokkola, N., Mondragon, E. ORCID: 0000-0003-4180-1261 & Alonso, E. ORCID: 0000-0002-3306-695X (2019). A Double Error Dynamic Asymptote Model of Associative Learning. Psychological Review, 126(4), pp. 506-549. doi: 10.1037/rev0000147
Luzardo, A., Alonso, E. & Mondragon, E. ORCID: 0000-0003-4180-1261 (2017). A Rescorla-Wagner Drift-Diffusion Model of Conditioning and Timing. PLoS Computational Biology, 13(11), article number e1005796. doi: 10.1371/journal.pcbi.1005796
Mondragon, E. ORCID: 0000-0003-4180-1261, Alonso, E. & Kokkola, N. (2017). Associative Learning Should Go Deep. Trends in Cognitive Science, 21(11), pp. 822-825. doi: 10.1016/j.tics.2017.06.001
Alonso, E., Fairbank, M. & Mondragon, E. ORCID: 0000-0003-4180-1261 (2015). Back to optimality: a formal framework to express the dynamics of learning optimal behavior. Adaptive Behavior, 23(4), pp. 206-215. doi: 10.1177/1059712315589355
Bonardi, C., Mondragon, E. ORCID: 0000-0003-4180-1261, Brilot, B. & Jennings, D. J. (2015). Overshadowing by fixed- and variable-duration stimuli. Quarterly Journal of Experimental Psychology, 68(3), pp. 523-542. doi: 10.1080/17470218.2014.960875
Mondragon, E. ORCID: 0000-0003-4180-1261 & Hall, G. (2015). Analysis of the role of stimulus comparison in discrimination learning in Pigeons. Learning and Motivation, 49, pp. 14-22. doi: 10.1016/j.lmot.2015.01.003
Mondragon, E. ORCID: 0000-0003-4180-1261, Gray, J., Alonso, E. , Bonardi, C. & Jennings, D. J. (2014). SSCC TD: A Serial and Simultaneous Configural-Cue Compound Stimuli Representation for Temporal Difference Learning. PLoS One, 9(7), article number e102469. doi: 10.1371/journal.pone.0102469
Alonso, E. ORCID: 0000-0002-3306-695X & Mondragon, E. ORCID: 0000-0003-4180-1261 (2014). What Have Computational Models Ever Done for Us?: A Case Study in Classical Conditioning. International Journal of Artificial Life Research, 4(1), pp. 1-12. doi: 10.4018/ijalr.2014010101
Jennings, D., Alonso, E., Mondragon, E. ORCID: 0000-0003-4180-1261 , Franssen, M. & Bonardi, C. (2013). The Effect of Stimulus Distribution Form on the Acquisition and Rate of Conditioned Responding: Implications for Theory. Journal of Experimental Psychology: Animal Behavior Processes, 39(3), pp. 233-248. doi: 10.1037/a0032151
Mondragon, E. ORCID: 0000-0003-4180-1261, Alonso, E., Fernandez, A. & Gray, J. (2013). An extension of the Rescorla and Wagner Simulator for context conditioning. Computer Methods and Programs in Biomedicine, 110(2), pp. 226-230. doi: 10.1016/j.cmpb.2013.01.016
Mondragon, E. ORCID: 0000-0003-4180-1261, Gray, J. & Alonso, E. (2013). A Complete Serial Compound Temporal Difference Simulator for Compound stimuli, Configural cues and Context representation. Neuroinformatics, 11(2), pp. 259-261. doi: 10.1007/s12021-012-9172-z
Alonso, E., Mondragon, E. ORCID: 0000-0003-4180-1261 & Fernandez, A. (2012). A Java simulator of Rescorla and Wagner's prediction error model and configural cue extensions. Computer Methods and Programs in Biomedicine, 108(1), pp. 346-355. doi: 10.1016/j.cmpb.2012.02.004
Mondragon, E. ORCID: 0000-0003-4180-1261 & Murphy, R. A. (2010). Perceptual learning in an appetitive Pavlovian procedure: analysis of the effectiveness of the common element.. Behavioural Processes, 83(3), pp. 247-256. doi: 10.1016/j.beproc.2009.12.007
Mondragon, E. ORCID: 0000-0003-4180-1261, Murphy, R. A. & Murphy, V. A. (2009). Rats do learn XYX rules. Animal Behaviour, 78(4), e3-e4. doi: 10.1016/j.anbehav.2009.07.013
Murphy, R., Mondragon, E. ORCID: 0000-0003-4180-1261 & Murphy, V. A. (2009). Covariation, Structure and Generalization: Building Blocks of Causal Cognition. International Journal of Comparative Psychology, 22(1), pp. 61-74.
Murphy, R. A., Mondragon, E. ORCID: 0000-0003-4180-1261 & Murphy, V. A. (2008). Rule learning by rats. Science, 319(5871), pp. 1849-1851. doi: 10.1126/science.1151564
Murphy, R. A., Mondragon, E. ORCID: 0000-0003-4180-1261, Murphy, V. A. & Fouquet, N. (2004). Serial order of conditional stimuli as a discriminative cue for Pavlovian conditioning. Behavioural Processes, 67(2), pp. 303-311. doi: 10.1016/j.beproc.2004.05.003
Mondragon, E. ORCID: 0000-0003-4180-1261, Bonardi, C. & Hall, G. (2003). Negative priming and occasion setting in an appetitive Pavlovian procedure. Animal Learning & Behavior, 31(3), pp. 281-291. doi: 10.3758/bf03195989
Mondragon, E. ORCID: 0000-0003-4180-1261 & Hall, G. (2002). Analysis of the perceptual learning effect in flavour aversion learning: evidence for stimulus differentiation. Quarterly Journal of Experimental Psychology, 55(2b), pp. 153-169. doi: 10.1080/02724990143000225
Book Section
Alonso, E. & Mondragon, E. ORCID: 0000-0003-4180-1261 (2010). Computational models of learning and beyond: Symmetries of associative learning. In: Computational Neuroscience for Advancing Artificial Intelligence: Models, Methods and Applications. (pp. 316-332). IGI Global. doi: 10.4018/978-1-60960-021-1.ch013
Jennings, D., Alonso, E., Mondragon, E. ORCID: 0000-0003-4180-1261 & Bonardi, C. (2010). Temporal uncertainty during overshadowing: A temporal difference account. In: Computational Neuroscience for Advancing Artificial Intelligence: Models, Methods and Applications. (pp. 46-55). IGI Global. doi: 10.4018/978-1-60960-021-1.ch003
Conference or Workshop Item
Mir, A., Alonso, E. ORCID: 0000-0002-3306-695X & Mondragon, E. ORCID: 0000-0003-4180-1261 (2024). DiT-Head: High Resolution Talkin Head Synthesis using Diffusion Transformers. In: Proceedings of the 16th International Conference on Agents and Artificial Intelligence. 16th International Conference on Agents and Artificial Intelligence (ICAART 2024), 24-26 Feb 2024, Rome, Italy. doi: 10.5220/0012312200003636
Cătărău-Cotuțiu, C., Mondragon, E. ORCID: 0000-0003-4180-1261 & Alonso, E. ORCID: 0000-0002-3306-695X (2023). AIGenC: AI Generalisation via Creativity. In: Lecture Notes in Artificial Intelligence (LNAI). EPIA Conference on Artificial Intelligence, 5-8 Sep 2023, Azores, Portugal. doi: 10.1007/978-3-031-49011-8_4
Ikram, K., Mondragon, E. ORCID: 0000-0003-4180-1261, Alonso, E. ORCID: 0000-0002-3306-695X & Garcia-Ortiz, M. (2021). HexaJungle: a MARL Simulator to Study the Emergence of Language. Paper presented at the Conference on Computer Vision and Pattern Recognition (CVPR 2021), Embodied AI Workshop, 20-25 Jun 2021, Nashville, Tennessee.
Alonso, E., Sahota, P. & Mondragon, E. ORCID: 0000-0003-4180-1261 (2014). Computational Models of Classical Conditioning: A Qualitative Evaluation and Comparison. Paper presented at the 6th International Conference on Agents and Artificial Intelligence (ICAART 2014), 06-03-2014 - 08-03-2014, Angers, France.
Alonso, E. & Mondragon, E. ORCID: 0000-0003-4180-1261 (2014). Quantum Probability and Operant Conditioning: Behavioral Uncertainty in Reinforcement Learning. Paper presented at the 6th International Conference on Agents and Artificial Intelligence (ICAART 2014), 06-03-2014 - 08-03-2014, Angers, France.
Alonso, E. ORCID: 0000-0002-3306-695X, Mondragon, E. ORCID: 0000-0003-4180-1261 & Kjaell-Ohlsson, N. (2012). Internally Driven Q-learning - Convergence and Generalization Results. In: Filipe, J. & Fred, A. (Eds.), Proceedings of the 4th International Conference on Agents and Artificial Intelligence. 4th International Conference on Agents and Artificial Intelligence, 6-8 Feb 2012, Algarve, Portugal. doi: 10.5220/0003736404910494
Alonso, E., Fairbank, M. & Mondragon, E. ORCID: 0000-0003-4180-1261 (2012). Conditioning for Least Action. Paper presented at the 11th International Conference on Cognitive Modeling, 13-04-2012 - 15-04-2012, Berlin, Germany.
Alonso, E. & Mondragon, E. ORCID: 0000-0003-4180-1261 (2012). Uses, Abuses and Misuses of Computational Models in Classical Conditioning. Paper presented at the 11th International Conference on Cognitive Modeling, 13-15 Apr 2012, Berlin, Germany.
Other
Cătărău-Cotuțiu, C., Mondragon, E. ORCID: 0000-0003-4180-1261 & Alonso, E. ORCID: 0000-0002-3306-695X (2022). AIGenC: AI generalisation via creativity. doi: 10.48550/arXiv.2205.09738
Report
Mondragon, E. ORCID: 0000-0003-4180-1261 & Alonso, E. (2016). Hall and Rodríguez model as a particular case of the Pearce and Hall model: A formal analysis. St Albans, UK: Centre for Computational and Animal Learning Research.