Homo heuristicus: Why biased minds make better inferences. G Gigerenzer, H Brighton Topics in Cognitive Science 1 (1), 107-143, 2009 | 2407 | 2009 |
Ecological Rationality: Intelligence in the World PM Todd, G Gigerenzer, ABC Research Group Oxford University Press, 2012 | 1029 | 2012 |
Advances in instance selection for instance-based learning algorithms H Brighton, C Mellish Data mining and knowledge discovery 6, 153-172, 2002 | 784 | 2002 |
Iterated learning: A framework for the emergence of language K Smith, S Kirby, H Brighton Artificial life 9 (4), 371-386, 2003 | 404 | 2003 |
Compositional syntax from cultural transmission H Brighton Artificial life 8 (1), 25-54, 2002 | 243 | 2002 |
Language as an evolutionary system H Brighton, K Smith, S Kirby Physics of Life Reviews 2 (3), 177-226, 2005 | 226 | 2005 |
Complex systems in language evolution: the cultural emergence of compositional structure K Smith, H Brighton, S Kirby Advances in complex systems 6 (04), 537-558, 2003 | 223 | 2003 |
The bias bias H Brighton, G Gigerenzer Journal of Business Research 68, 1772-1784, 2015 | 163 | 2015 |
From UG to universals: Linguistic adaptation through iterated learning S Kirby, K Smith, H Brighton Studies in Language. International Journal sponsored by the Foundation …, 2004 | 154 | 2004 |
The amplification of risk in experimental diffusion chains M Moussaïd, H Brighton, W Gaissmaier Proceedings of the National Academy of Sciences 112 (18), 5631-5636, 2015 | 143 | 2015 |
Bayesian brains and cognitive mechanisms: Harmony or dissonance? H Brighton, G Gigerenzer The Probabilistic Mind: Prospects for Bayesian Cognitive Science, 189-208, 2008 | 128 | 2008 |
Understanding linguistic evolution by visualizing the emergence of topographic mappings H Brighton, S Kirby Artificial life 12 (2), 229-242, 2006 | 123 | 2006 |
Cultural selection for learnability: Three principles underlying the view that language adapts to be learnable H Brighton, S Kirby, K Smith Language origins: Perspectives on evolution, 291-309, 2005 | 118 | 2005 |
Robust inference with simple cognitive models. H Brighton AAAI spring symposium: Between a rock and a hard place: Cognitive science …, 2006 | 107 | 2006 |
Building the Theory of Ecological Rationality PM Todd, H Brighton Minds and Machines, 1-22, 2016 | 98 | 2016 |
The survival of the smallest: Stability conditions for the cultural evolution of compositional language H Brighton, S Kirby European Conference on Artificial Life, 592-601, 2001 | 85 | 2001 |
On the consistency of information filters for lazy learning algorithms H Brighton, C Mellish European conference on principles of data mining and knowledge discovery …, 1999 | 83 | 1999 |
Are rational actor models ‘‘rational’’outside small worlds? H Brighton, G Gigerenzer Evolution and Rationality: Decisions, Co-operation, and Strategic Behavior …, 2012 | 56 | 2012 |
Introducing Artificial Intelligence: A Graphic Guide H Brighton Icon Books Ltd, 2015 | 52 | 2015 |
Introducing Artificial Intelligence H Brighton, H Selina | 52* | 2003 |