Bie, P. de (2009) Computational Agents in the Embodied Communication Game. Master's Thesis / Essay, Artificial Intelligence.
|
Text
PieterThesis.pdf - Published Version Download (2MB) | Preview |
Abstract
Language learning is an important research topic in Artificial Intelligence: understanding how human communication is learned helps understanding human communication in general. Different approaches have been used for the study of emergence of human communication systems. Some of these studies use computer simulations or robots to create artificial languages while others focus on creating new communication mechanisms using human participants. However, so far no attempt has been made to combine the two. One example of the human language approach is the Embodied Communication Game (ECG). This game was created to investigate how human participants can create a signalling system without using a channel dedicated for communication. In the ECG two participants have to use movement of a stick man figure both for communication and for travelling in the game. The ECG is relatively simple to understand and restricted in terms of possible moves. It was therefore chosen as the basis for a new game in which participants and computer agents can cooperate. The ECG was analysed on possible moves in the game as well as the strategies used by human participants. The strategies were classified based on specific properties. Using this analysis a new game was created, called the Simplified Embodied Communication Game, or SECG. The SECG is a simplified version of the ECG in which computer agents can participate, while still keeping the properties that make human strategies possible. Based on the analysis of strategies agents have been created which used different signalling methods. Three primary types of signalling methods have been identified. Two of these types of signalling methods have been tested with agents to show the viability of doing quantitative experiments on the emergence of signalling systems. Though no significant results were found, the same method can be used for different hypotheses. This experiment showed that some of the properties of strategies are still not fully understood, including the effect of gradually emerging strategies, segmentation problems and the role of dialogue.
| Item Type: | Thesis (Master's Thesis / Essay) |
|---|---|
| Degree programme: | Artificial Intelligence |
| Thesis type: | Master's Thesis / Essay |
| Language: | English |
| Date Deposited: | 15 Feb 2018 07:29 |
| Last Modified: | 15 Feb 2018 07:29 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/8758 |
Actions (login required)
 |
View Item |