Swarm intelligence for autonomous cooperative agents in battles for real-time strategy games
Tools
Tools
Daylamani-Zad, Damon, Graham, Letitia Blanche and Paraskevopoulos, Ioannis (2017) Swarm intelligence for autonomous cooperative agents in battles for real-time strategy games. In: 2017 9th International Conference on Virtual Worlds and Games for Serious Applications (VS-Games). IEEE, pp. 39-46. ISBN 978-1-5386-1203-3 ISSN 2474-0489 (Online) (doi:https://doi.org/10.1109/VS-GAMES.2017.8055809)
|
PDF (Author Accepted Manuscript)
17761 DAYLAMANI-ZAD_Swarm_Intelligence_for_Automonous_Cooperative_Agents_2017.pdf - Accepted Version Download (902kB) | Preview |
Abstract
This paper investigates the use the swarm intelligence of honey bees to create groups of co-operative AI for an RTS game in order to create and re-enact battle simulations. The behaviour of the agents are based on the foraging and defensive behaviours of honey bees, adapted to a human environment. The groups consist of multiple model-based reflex agents, with individual blackboards for working memory, with a colony level blackboard to mimic the foraging patterns. An agent architecture and environment is proposed that allows for creation of autonomous cooperative agents. The behaviour of agents is then evaluated and their intelligence is tested using an adaptation of Anytime Universal Intelligence Test.
| Item Type: | Conference Proceedings |
|---|---|
| Title of Proceedings: | 2017 9th International Conference on Virtual Worlds and Games for Serious Applications (VS-Games) |
| Additional Information: | Conference held in Athens, Greece from 6th-8th September 2017. |
| Uncontrolled Keywords: | Real-Time Strategy games, Swarm Intelligence, Agent Architecture, 'Multi-agent Inteligence, Artificial Intelligence, Finite State Machine |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Faculty / School / Research Centre / Research Group: | Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS) Faculty of Engineering & Science |
| Related URLs: | |
| Last Modified: | 04 Mar 2022 13:07 |
| URI: | http://gala.gre.ac.uk/id/eprint/17761 |
Actions (login required)
 |
View Item |
Downloads
Downloads per month over past year