6533b85dfe1ef96bd12be68c

RESEARCH PRODUCT

Adaptive Multi-agent System Based on Wasp-Like Behaviour for the Virtual Learning Game Sotirios

Florentin BotaDana Simian

subject

Mode (computer interface)First personProcess (engineering)Human–computer interactionComputer scienceMulti-agent systemComputingMilieux_PERSONALCOMPUTINGVirtual learning environmentDigital learningTask (project management)

description

The aim of this paper is to propose a model for an adaptive multi-agent system based on wasp-like behaviour for dynamic allocation of puzzles and quests in the virtual learning game SOTIRIOS. This is a digital learning game integrated inside a First Person Shooter designed by the second author of this paper. The learning process is based on many puzzles hidden in the game flow. The multi-agent system is necessary to integrate a multiplayer mode into the game. The agents use wasp task allocation behaviour, combined with a model of wasp dominance hierarchy in order to create a unique multiplayer learning system, where each user has a different learning curve, based on his results. The wasp behaviour is required to create a balanced multiplayer mode and to optimize the results of teams within the game.

yearjournalcountryeditionlanguage
2018-01-01
https://doi.org/10.1007/978-3-319-73441-5_45