Results 41 to 50 of about 235,958 (282)
Verifying Maze-Like Game Levels With Model Checker SPIN
This study presents a framework that procedurally generates maze-like levels and leverages an automated verification technique called model checking to verify and produce a winning action sequence for that level.
Onur Tekik, Elif Surer, Aysu Betin Can
doaj +1 more source
Learning the Designer's Preferences to Drive Evolution
This paper presents the Designer Preference Model, a data-driven solution that pursues to learn from user generated data in a Quality-Diversity Mixed-Initiative Co-Creativity (QD MI-CC) tool, with the aims of modelling the user's design style to better ...
A Liapis +10 more
core +1 more source
The experience-driven perspective [PDF]
Ultimately, content is generated for the player. But so far, our algorithms have not taken specific players into account. Creating computational models of a player’s behaviour, preferences, or skills is called player modelling.
Shaker, Noor +2 more
core +1 more source
MOPCGRL: Multi-Objective Procedural Content Generation via Reinforcement Learning
Online content generation enables automatic and adaptive creation of diverse and playable game content for maximizing player experience or testing Artificial Intelligence (AI) algorithms.
Yi Yuan +7 more
doaj +1 more source
Semi-automatic construction of video game design prototypes with MaruGen
Machinations Ruleset Generator (MaruGen) is a semi-automatic system for the generation of mechanics, rules, spaces (environments), and missions for video games. The objective of this system is to offer an expression mechanism for the video game designer
Italo Felipe Capasso-Ballesteros +1 more
doaj +1 more source
Generative Design in Minecraft (GDMC), Settlement Generation Competition
This paper introduces the settlement generation competition for Minecraft, the first part of the Generative Design in Minecraft challenge. The settlement generation competition is about creating Artificial Intelligence (AI) agents that can produce ...
Aluru Krishna +10 more
core +1 more source
Speciation without chromatography: Part 2. Determination of tributyltin by chloride generation flow injection atomic absorption spectrometry [PDF]
A procedure is described for the quantitation of tributyltin in aqueous samples and extracts based on its relatively high volatility in halide media, permitting vapour phase sampling from the headspace above such samples.Tributyltin chloride (TBT-C1) was
Christine Scriver +13 more
core +1 more source
Enhancing 3D Printing with Procedural Generation and STL Formatting Using Python
Three-dimensional printing has become a fast-growing industry. The first phase of this technology is the design of a 3D object to personalize it and optimize its production. This paper explores the procedural generation of the 3D model.
Jakub Kopowski +3 more
doaj +1 more source
Procedural Content Graphs for Urban Modeling
Massive procedural content creation, for example, for virtual urban environments, is a difficult, yet important challenge. While shape grammars are a popular example of effectiveness in architectural modeling, they have clear limitations regarding ...
Pedro Brandão Silva +3 more
doaj +1 more source
Procedural Content Generation (PCG) is an emerging field of study in computer science that focuses on automating the process of generating content by using algorithm, making the content generation process with less human effort.
Muhammad Hafis +2 more
doaj +1 more source

