A Loser Can Be a Winner: Comparison of Two Instance-based Learning Models in a Market Entry Competition
This paper presents a case of parsimony and generalization in model comparisons. We submitted two versions of the same cognitive model to the Market Entry Competition (MEC), which involved four-person and two-alternative (enter or stay out) games. Our model was designed according to the Instance-Bas...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2011-03-01
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| Series: | Games |
| Subjects: | |
| Online Access: | http://www.mdpi.com/2073-4336/2/1/136/ |