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

Autor:	Florentin Bota, Dana Simian
Rok vydání:	2018
Předmět:	Mode (computer interface) First person Process (engineering) Human–computer interaction Computer science Multi-agent system ComputingMilieux_PERSONALCOMPUTING Virtual learning environment Digital learning Task (project management)
Zdroj:	Large-Scale Scientific Computing ISBN: 9783319734408 LSSC
DOI:	10.1007/978-3-319-73441-5_45
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::a637265d91f170b00a8b29bb1ad72173 https://doi.org/10.1007/978-3-319-73441-5_45 Zobrazit plný text záznamu