Genetic Programming Bibliography entries for Fernand Gobet

up to index Created by W.Langdon from gp-bibliography.bib Revision:1.6616

GP coauthors/coeditors: Mark Addis, Peter D Sozou, Peter C R Lane, Enrique Frias-Martinez, Amanda Parker, Noman Javed, Angelo Pirrone,

Genetic Programming Articles by Fernand Gobet

• Angelo Pirrone and Fernand Gobet. Modeling Value-Based Decision-Making Policies Using Genetic Programming. Swiss Journal of Psychology, 79(3-4):113-121, 2020. details

• Enrique Frias-Martinez and Fernand Gobet. Automatic Generation of Cognitive Theories using Genetic Programming. Minds and Machines, 17(3):287-309, 2007. details

• Fernand Gobet and Amanda Parker. Evolving structure-function mappings in cognitive neuroscience using genetic programming. Swiss Journal of Psychology, 64(4):231-239, 2005. details

Genetic Programming conference papers by Fernand Gobet

1. Noman Javed and Fernand R. Gobet. On-the-Fly Simplification of Genetic Programming Models. In Proceedings of the 36th Annual ACM Symposium on Applied Computing, SAC 2021, pages 464-471, Virtual Event, Republic of Korea, 2021. Association for Computing Machinery. details

2. Mark Addis and Peter D. Sozou and Peter C. Lane and Fernand Gobet. Computational Scientific Discovery and Cognitive Science Theories. In Vincent C. Mueller editor, Computing and Philosophy: Selected Papers from IACAP 2014, pages 83-97, 2016. Springer. details

3. Peter C. R. Lane and Peter D. Sozou and Fernand Gobet and Mark Addis. Analysing psychological data by evolving computational models. In Adalbert F. X. Wilhelm and Hans A. Kestler editors, European Conference on Data Analysis (ECDA 2014) and Workshop on Classification and Subject Indexing in Library and Information Science (LIS 2014), pages 587-597, Jacobs University, Bremen, Germany, 2014. Springer. details

4. Peter C. R. Lane and Peter D. Sozou and Mark Addis and Fernand Gobet. Evolving process-based models from psychological data using genetic programming. In Proceedings of the AISB-50 Conference, Goldsmiths, University of London, 2014. details