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Mixed-Initiative Design of Game Levels: Integrating Mission and Space into Level Generation

A level designer typically creates the levels of a game to cater for a certain set of objectives, or mission. But in procedural content generation, it is common to treat the creation of missions and the generation of levels as two separate concerns. This often leads to generic levels that allow for various missions. However, this also creates a generic impression for the player, because the potential for synergy between the objectives and the level is not utilised. Following up on the mission-space generation concept, as described by Dormans, we explore the possibilities of procedurally generating a level from a designer-made mission. We use a generative grammar to transform a mission into a level in a mixed-initiative design setting. We provide two case studies, dungeon levels for a rogue-like game, and platformer levels for a metroidvania game. The generators differ in the way they use the mission to generate the space, but are created with the same tool for content generation based on model transformations. We discuss the differences between the two generation processes and compare it with a parameterized approach.

Level Design as Model Transformation

This paper frames the process of designing a level in a game as a series of model transformations. The transformations correspond to the application of particular design principles, such as the use of locks and keys to transform a linear mission into a branching space. It shows that by using rewrite systems, these transformations can be formalized and automated. The resulting automated process is highly controllable: it is a perfect match for a mixed-initiative approach to level generation where human and computer collaborate in designing levels. An experimental prototype that implements these ideas is presented.

Eindrapportage RAAK MKB-Project Geautomatiseerd Game Design, inclusief appendix "Project results and Partner contributions" en appendix "Ondernemerschap"

Procedural generation of collaborative puzzle-platform game levels

This paper addresses the procedural generation of levels for collaborative puzzle-platform games. To address this issue, we distinguish types of multiplayer interaction, focusing on two-player collaboration, and identify relevant game mechanics for a puzzle-platform game, addressing player movement, interaction with moving game objects, and physical interaction involving both players. These are further formalized as game design patterns. To test the feasibility of the approach, a level generator has been implemented based on a rule-based approach, using the existing tool called Ludoscope and a prototype game developed in the Unity game engine. The level generation procedure results in over 3.7 million possible playable level variations that can be generated automatically. Each of these levels encourages or even requires both players to engage in collaborative gameplay.

Generating Game Mechanics in a Model Economy: a MoneyMaker Deluxe Case Study

This paper discusses the potential application of procedural content generation to a game about economical crises, intended to teach a large general audience about how banks function within a market-guided economy, and the financial risks and moral dilemmas that are involved. Procedurally generating content for abstract and complex notions such as inflation, market crashes, and market flux is different from generating spatial maps or physical assets in a game, and poses several design challenges. Instead of generating these kinds of phenomena and other macro-economic effects directly, the designers aim to let them emerge from automatically generated game mechanics. The game mechanics we propose include generic business models that can be parameterized to model the behavior of companies in the game, while the player controls the actions of a bank. What makes generating these game mechanics particularly challenging is the interaction between phenomena at different levels of abstraction. Therefore, relevant economic concepts are discussed in terms of design challenges, and how they could be modeled as emergent properties using generative methods.

Serious game for wellness

This paper introduces a creative approach aimed at empowering desk-bound occupational groups to address the issue of physical inactivity at workplaces. The approach involves a gamified toolkit called Workplace Vitality Mapping (WVM) (see Figure 1) designed to encourage self-reflection in sedentary contexts and foster the envision of physical vitality scenarios. This hybrid toolkit comprises two main components: A Card Game (on-site) for context reflection and a Co-design Canvas (Online) for co-designing vitality solutions. Through the card games, participants reflect on key sedentary contexts, contemplating their preferable physical vitality scenarios with relevant requirements. The co-design canvas facilitates the collaborative construction and discussion of vitality scenarios’ development. The perceptions and interactions of the proposed toolkit from the target group were studied and observed through a hybrid workshop, which demonstrated promising results in terms of promoting participants’ engagement experience in contextual reflections and deepening their systemic understanding to tackle the physical inactivity issue. As physical inactivity becomes an increasingly pressing concern, this approach offers a promising participatory way for gaining empathetic insights toward community-level solutions.