RiverGame - a game testing tool using artificial intelligence

Păduraru, Ciprian; Paduraru, Miruna; Ştefănescu, Alin

doi:10.1109/icst53961.2022.00048

Cited by 11 publications

(2 citation statements)

References 24 publications

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“…Game testing involves more than the above. Academia has proposed a tool called RiverGame for comprehensive automated testing of sound, graphics, haptics, gameplay, and more [16].…”

Section: Application Of Ai Game Agents In Development Testingmentioning

confidence: 99%

A research of artificial intelligence game agent application

Lan,

2024

ACE

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Currently, large language models are on the rise with breakthrough progress in artificial intelligence. Existing reviews of AI game agents have not covered these latest developments, requiring a combing and analysis of the newest research advancements in game AI agents. This paper summarizes the application scenarios of game AI agents in four aspects: combat AI, Non-Player Character (NPC) interaction, automated testing, and Artificial General Intelligence (AGI) testing. In combat AI, there is a progressive developmental trend, with the introduction of Monte Carlo tree search and reinforcement learning enabling AI game agents to fully surpass humans in traditional board games. In NPC interaction, full AI is unnecessary. Game developers only need to incorporate AI for abilities related to player experience to increase appeal, with controllable generation results. In automated testing, game AI agents lack generalizability for testing so far. In AGI testing, academia has helpfully explored general game AI, but capabilities remain limited to certain games. Introducing large language models to game AI agents shows unprecedented capabilities. Finally, this paper provides an outlook on the hot topics and future directions of this research subject.

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“…Game testing involves more than the above. Academia has proposed a tool called RiverGame for comprehensive automated testing of sound, graphics, haptics, gameplay, and more [16].…”

Section: Application Of Ai Game Agents In Development Testingmentioning

confidence: 99%

A research of artificial intelligence game agent application

Lan,

2024

ACE

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“…The analysis of literary sources showed the high contribution of scientists and practitioners in the development of computer applications, the use of virtual and augmented reality technologies, as well as artificial intelligence objects [8][9][10][11][12][13][14][15][16][17][18]. These works have covered many diverse scientific and technical fields, from the development of object detection systems [19], education [20,21], cinematography [22], equipping scientific laboratories [23], solving tourism problems [24], modeling and optimization [25], to gaming applications [26][27][28]. However, not one work presented the process of expanding the possibilities of developing game artificial intelligence.…”

Section: Introductionmentioning

confidence: 99%

New Game Artificial Intelligence Tools for Virtual Mine on Unreal Engine

Abu-Abed

Zhironkin

2023

Applied Sciences

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Currently, the gamification of virtual reality for training miners, especially for emergencies, and designing the extraction of minerals in difficult technological conditions has been embodied in the Virtual Mine software and hardware. From a software development point of view, Virtual Mine is indistinguishable from other virtual reality games, and this offers a chance to use the potential of rapidly developing game software in mining, including engines, 3D modeling tools, audio editors, etc., to solve a wide range of game development tasks. The chosen direction will optimize the work of developers by providing a tool for developing game artificial intelligence to solve problems that require implementing the behavior of game agents without using a rigidly defined choice of scenarios or chains of these scenarios. The aim of the work is to expand the possibilities of working with game artificial intelligence on the Unreal Engine game engine to make it more functional. As a result, a tool has been obtained that can be used to optimize the time and improve the quality of the development of game artificial intelligence for Virtual Mine using flexible development approaches. The asset editor was developed, application modes and their working tabs were defined, and a graphical node system for the behavioral graph editor was created. A system for executing a behavioral graph is given; algorithms for its operation and features for executing nodes of a behavioral graph are presented.

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