| 1 |
| Auteurs | I. Visser, M. Speekenbrink | | Titel | It's a Catastrophe! Testing dynamics between competing cognitive states using mixture and hidden Markov models |
| Boek/bron titel | COGSCI 2014: cognitive science meets artificial intelligence: human and artifical agents in interactive contexts |
| Uitgever | Cognitive Science Society |
| Plaats | Austin, TX |
| Jaar | 2014 |
| Pagina's | 1688-1693 |
| ISBN | 9780991196708 |
| Faculteit | Faculteit der Maatschappij- en Gedragswetenschappen |
| Instituut/afd. | FMG: Psychology Research Institute |
| Samenvatting | Dual or multiple systems approaches are ubiquitous in cognitive science, with examples in memory, perception, categorization, cognitive development, and many other fields. Dynamical systems models with multiple stable states or modes of behavior are also increasingly used in explaining cognitive phenomena. Catastrophe theory provides a formal framework for studying the dynamics of switching between two qualitatively distinct modes of behavior. Here we present a parametric approach to testing specific predictions about the dynamics of such switches that follow from catastrophe theory. These so-called catastrophe flags are bimodality, divergence, and hysteresis. We show how these three flags can be tested using (constrained) mixture and hidden Markov models and provide an example of each using three different data sets. |
| Taal | Engels |
| URL | go to publisher's site |
| Soort document | congresbijdrage |
| Download | |
| Document finder |
|
Gebruik dit adres om naar deze pagina te linken: http://hdl.handle.net/11245/1.443339
Vraag/opmerking over dit recordMail aan een collega
Toevoegen aan bewaarset
|
