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Swarm intelligence for autonomous cooperative agents in battles for real-time strategy games

Swarm intelligence for autonomous cooperative agents in battles for real-time strategy games

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)

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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 / Department / Research Group: Faculty of Architecture, Computing & Humanities
Faculty of Architecture, Computing & Humanities > Department of Computing & Information Systems
Related URLs:
Last Modified: 05 Apr 2018 15:08
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/17761

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