Experiments and Modeling in Cognitive Science
ISTE Press Ltd - Elsevier Inc (Verlag)
978-1-78548-284-7 (ISBN)
This type of modeling in psychology helps determine if a model fits the data, and also demonstrates that the algorithmic is not only useful, but essential for modeling data.
Fabien Mathy is a professor in the department of Psychology at University Côte d'Azur, and researcher at the laboratory Bases, Corpus, Langage of the CNRS. After being head of the Department of Psychology, he is currently appointed director of a doctoral program and head of the Cognitive Science & Computation program at the Maison des Sciences de l'Homme et de la Société Sud-Est in Nice, France. He teaches psychology and cognitive science to show in particular how artificial intelligence and psychology can combine to offer adequate models of cognitive processes. HIs main research interest is the relationship between learning, memory, and intelligence and his current research explores the growth of immediate memory capacity across age. He has been the recipient of two grants from the Agence Nationale de la Recherche and one IDEX (Initiative d'excellence) grant and he has been a fellow of the Psychonomic Society since 2010. Mustapha Chekaf is a former PhD student of Fabien Mathy, currently assistant professor in the department of Psychology at University Côte d'Azur, and postdoctoral researcher at the laboratory Bases, Corpus, Langage of the CNRS. Mustapha Chekaf and Fabien Mathy have published together three research articles in peer-reviewed journals in cognitive psychology. His current research explores the capacity of immediate memory in adults and the training of working memory based on physical activities.
Part 1. Experiments, Models, Simulations
1. Principles of Modeling
2. Modeling and Simulation
3. Adjustment of the Model to the Data#
4. Introduction to Programming in MATLAB®
Part 2. Experimentation
5. Principles of Experimentation Organization and Experimental Reasoning
6. Building Experimental Conditions from Random Draws or Permutations
7. Creating Stimuli Digitally
8. Experimenting with Psychtoolbox (and Others)
Part 3. Analysis and Modeling
9. Analyzing Data: Import, Transformation, Compilation, Restructuring, Aggregation and Use of Statisticstoolbox
10. Introduction to Bayesian Analysis
11. Complex and Original Figures
| Erscheinungsdatum | 03.10.2018 |
|---|---|
| Sprache | englisch |
| Maße | 152 x 229 mm |
| Gewicht | 610 g |
| Themenwelt | Geisteswissenschaften ► Psychologie ► Biopsychologie / Neurowissenschaften |
| ISBN-10 | 1-78548-284-X / 178548284X |
| ISBN-13 | 978-1-78548-284-7 / 9781785482847 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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