Abstract | ||
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This paper explores utilization of bots created to play as participants in two games that have relevance in the field of economics. The first game is an iterated version of the prisoner’s dilemma that has relevance to decisions requiring trust while conducting business and involves a binary decision. The simulation examines one dimension of the Myers–Briggs personality type and its potential association with strategies that may be employed during an iterated version of the game, leading to different levels of performance. A web–based bot is used for such simulation. Results appear to support the possibility of exploiting personality type in this dimension in the context of similar circumstances. |
Year | Venue | Field |
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2018 | HCI | Computer science,Personality type,Binary decision diagram,Dilemma,Iterated function,Management science |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
1 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Shai Neumann | 1 | 4 | 2.03 |
Suraj Sood | 2 | 0 | 1.35 |
Markus Hollander | 3 | 0 | 0.68 |
Freda Wan | 4 | 0 | 0.68 |
Alexis-Walid Ahmed | 5 | 0 | 1.01 |
Monte Hancock | 6 | 10 | 3.59 |