Janssen, C.P. (2008) Cognitive models of strategy shifts in interactive behavior. Master's Thesis / Essay, Human-Machine Communication.
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Abstract
In this study, we use cognitive models to investigate how humans develop preferences for specific strategies in interactive behavior. In our case study, subjects show a shift in strategy, to strategies that are mostly based either on interaction with the environment or on memory. ACT-R 5 models are unable to show this effect. This is ascribed to its utility learning mechanism. We use ACT-R 6, which has a new utility learning mechanism. Results indicate that regular ACT-R 6 models (i.e., models without changes in the architecture) can provide a better fit to the human data than regular ACT-R 5 models. However, the ACT-R 6 models show equal or less good fits when compared to ACT-R 5 models with changes in the architecture. In general, the goodness of fit of the models depends on the modeler’s conception of rewards: what is the magnitude of the reward (and to what concept of the task is this magnitude related), and when does the model receive rewards? These concerns are new for ACT-R researchers, as in ACT-R 5 a modeler was limited in the type of rewards they could give to their model. General implications of this observation are discussed.
| Item Type: | Thesis (Master's Thesis / Essay) |
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| Supervisor name: | Rijn, H. van |
| Degree programme: | Human-Machine Communication |
| Thesis type: | Master's Thesis / Essay |
| Language: | English |
| Date Deposited: | 15 Feb 2018 07:28 |
| Last Modified: | 03 May 2019 10:17 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/8454 |
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