Top, J.D. (2017) Bridging the gap between logic and cognition: a translation method for centipede games. Master's Thesis / Essay, Human-Machine Communication.
|
Text
hmc_thesis_s2402319.pdf - Published Version Download (4MB) | Preview |
|
![[img]](https://fse.studenttheses.ub.rug.nl/style/images/fileicons/text.png) |
Text
toestemming.pdf - Other Restricted to Backend only Download (77kB) |
Abstract
Human strategic reasoning in turn-taking games has been extensively investigated by game theorists, logicians, cognitive scientists, and psychologists. Whereas game theorists and logicians use formal methods to formalize strategic behaviour, cognitive scientists use cognitive models of the human mind to predict and simulate human behaviour. In the present body of work, we create a translation system which, starting from a strategy represented in formal logic, automatically generates a computational model in the PRIMs cognitive architecture. This model can then be run to generate response times and decisions made in centipede games, a subset of dynamic perfect-information games. We find that the results of our automatically generated models are similar to our hand-made models, verifying our translation system. Furthermore, we use our system to predict that human players’ strategies correspond more closely to extensive-form rationalizable strategies than to backward induction strategies, and we predict that response times may be a function of the number of possibilities a strategy can prescribe.
| Item Type: | Thesis (Master's Thesis / Essay) |
|---|---|
| Degree programme: | Human-Machine Communication |
| Thesis type: | Master's Thesis / Essay |
| Language: | English |
| Date Deposited: | 15 Feb 2018 08:32 |
| Last Modified: | 15 Feb 2018 08:32 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/15845 |
Actions (login required)
 |
View Item |