Skip navigation

Enhanced squad behaviour in tactical action games

Enhanced squad behaviour in tactical action games

Oke, Jagunmolu Bamidele, Weinel, Jonathan ORCID: 0000-0001-5347-3897 and Otero, Nuno ORCID: 0000-0003-2446-8727 (2024) Enhanced squad behaviour in tactical action games. In: Proceedings of EVA London 2024: Electronic Visualisation and the Arts. Electronic Workshops in Computing (eWiC) . BCS: The Chartered Institute for IT, London; Lexington, MA; Berlin; Budapest, pp. 356-358. ISBN 978-1780176925 ISSN 1477-9358 (doi:

PDF (Published conference paper)
47528_WEINEL_Enhanced_Squad_Behaviour_in_Tactical_Action_Games.pdf - Published Version
Available under License Creative Commons Attribution.

Download (449kB) | Preview


This project will delve into background research on AI techniques involving spatial analysis, role assignment, NPC behaviour, and tactical techniques for squad-based combat scenarios. The investigation will involve the design, development and evaluation of a prototype. The goal of this project is to uncover methods for designing and developing squad-based NPCs that can assess situations, have group objectives, and recognise individual team members' strengths and weaknesses. It will also explore how to identify the best team member for unique roles and find the optimal position for engaging, recovering, flanking, and other related manoeuvres, based on the line of fire and other environmental factors, all within the context of a game engine.

Item Type: Conference Proceedings
Title of Proceedings: Proceedings of EVA London 2024: Electronic Visualisation and the Arts
Uncontrolled Keywords: game AI; video games; game design; spatial reasoning; role assignment
Subjects: G Geography. Anthropology. Recreation > GV Recreation Leisure
N Fine Arts > N Visual arts (General) For photography, see TR
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / School / Research Centre / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS)
Last Modified: 01 Jul 2024 15:03

Actions (login required)

View Item View Item


Downloads per month over past year

View more statistics