https://dasya.itu.dk/tags/games/ Recent content in games on DASYA Hugo -- gohugo.io en-us © DASYA, IT University of Copenhagen Fri, 24 Jul 2026 00:00:00 +0000 https://dasya.itu.dk/for-students/proposals/current/mh-llm-rng-personas/ Fri, 24 Jul 2026 00:00:00 +0000 https://dasya.itu.dk/for-students/proposals/current/mh-llm-rng-personas/ BSc Thesis. This project builds on a previous master’s thesis, Prompting Luck: Bias and Manipulability in LLM-Generated Randomness, that explored replacing traditional random number generators (RNG) in games with large language models (LLMs). The idea is that an LLM can produce “intelligent” random numbers, for example the outcome of a slot machine spin, that take context into account rather than being drawn from a uniform distribution. The goal of this project is to experimentally validate the findings of that thesis by building an actual game, connecting it to an LLM, and putting the idea to the test with real players. https://dasya.itu.dk/for-students/proposals/archive/mh-llm-vs-rng/ Thu, 20 Nov 2025 00:00:00 +0000 https://dasya.itu.dk/for-students/proposals/archive/mh-llm-vs-rng/ BSc Thesis / MSc Thesis. The goal of this project is to explore the feasibility and impact of replacing traditional random number generators (RNG) in games with large language models (LLMs). For example, in a slot machine game, the outcome is typically determined by a random number generated each time the “spin” button is pressed. In this project, students will investigate using an LLM to generate these numbers instead. Research questions include: https://dasya.itu.dk/for-students/proposals/archive/mh-js-framework-udf/ Wed, 02 Jul 2025 00:00:00 +0000 https://dasya.itu.dk/for-students/proposals/archive/mh-js-framework-udf/ BSc Thesis. The idea of this project is to write a game framework in JavaScript (e.g., a physics engine or state machine that keeps track of the game state) that can be re-run deterministically using databases. That is, in addition to being a standalone framework, the JavaScript framework must run as a user-defined function (UDF) in a relational database where it can be executed on thousands of existing user inputs. The research questions include whether such a framework is feasible to build, how fast it executes within a database system as a UDF, and how it scales when executed against thousands or more existing game states or user input sessions.