Group items tagged

"Automated lm editing involves the generation of the position, orientation, motion and selection of virtual cameras in interactive 3D graphics applications. There is a pressing demand for techniques to assist and automate the control of virtual cameras in the computer games industry where the rapid development of personal computers and high performance consoles has led to substantial improvements in the visual delity of games. The goal of this survey is to characterize the spectrum of applications that require automated lm editing, present a summary of state-of-the-art models and techniques, and identify both promising avenues and hot topics for future research"

From Imperial College London, Computational Creativity Group. Abstract. We present initial results from ACCME,A Co-operative Co-evolutionary Metroidvania Engine, which uses co-operative co-evolution to automatically evolve simple platform games. We describe the system in detail and justify the use of co-operative co-evolution. We then address two fundamental questions about the use of this method in automated game design, both in terms of its ability to maximise fitness functions, and whether our choice of fitness function produces scores which correlate with player preference in the resulting games.

From the abstract: "In this paper we tackle automating level design. We describe a general graph-based representation for game levels and present a preliminary system that leverages this representation. Our system automatically explores existing levels of a 2D platform game using the rapidlyexploring random tree (RRT) algorithm and constructs a compact graph representation from this exploration. Our system can also modify a graph representation onthe- fly to reflect user-directed changes to the existing level structure. This work constitutes an initial step toward the larger goal of automating level design in a general way."

Abstract: "We introduce Mechanic Miner, an evolutionary system for discovering simple two-state game mechanics for puzzle platform games. We demonstrate how a re ection-driven generation technique can use a simulation of gameplay to select good mechanics, and how the simulation- driven process can be inverted to produce challenging levels specic to a generated mechanic. We give examples of levels and mechanics generated by the system, summarise a small pilot study conducted with example levels and mechanics, and point to further applications of the technique, including applications to automated game design."

Abstract: "We describe ANGELINA3, a system that can automatically develop games along a defined theme, by selecting appropriate multimedia content from a variety of sources and incorporating it into a game's design. We discuss these capabilities in the context of the FACE model for assessing progress in the building of creative systems, and discuss how ANGELINA3 can be improved through further work."

Automating game content generation

From the introduction "The method described in this review is based on the Machinations tool, written based on the book by Dormans (2012) and the accompanying paper, also by Dormans (20 11). After having researched the necessary elements to create this tool and created the first iterations (Dormans, 2008; 2009), Dormans created Machinations as a response to the call of Doug Church (Dormans, 2012, 21) for "formal abstract design tools" whi ch Church (1999) posted on Gamasutra, a game developer website. Machinations is a framework that uses automated, interactive diagrams to simulate and test the gameplay of a game before development, to see if there are any serious flaws in the design and if the game would have plausible (and more importantly, entertaining) progression and emergence. The diagrams represent the flow of resources in a game during, and the feedback structures that exist in, the gameplay, which can be interacted with during the d iagram's runtime."

"Abstract The eective information processing (e.g. search, organi- zation) of the heterogeneous information spaces requires metadata layer above the resources. However, the acqui- sition of resource metadata and domain models are chal- lenging tasks. Here, the crowdsourcing has emerged as an alternative to expert-based and automated semantics acquisition approaches. One of its branches are the games with a purpose (GWAPs) which encapsulate the seman- tics acquisition tasks into the game processes. We analyze existing GWAPs and propose their classication. Fur- thermore we devised our own GWAP-based approaches. For acquisition of lightweight term relationship network, we devised a search query formulation game, usable also for specic domain models. For acquisition of (personal) image tags, we devised a card game, where players mem- orize positions of concealed cards and identify identical pairs. For validation of music metadata, we devised a multi-choice question-based game, where players identify tag sets that are characteristic to music tracks they hear. We also looked at the GWAPs from their design per- spectives. We present a design oriented classication sys- tem for GWAPs, adress several design issues recurring in GWAPs and present new design patterns to solve them"

From the abstract: "Collective Artificial Intelligence (CAI) simulates human intelligence from data contributed by many humans, mined for inter-related patterns. This thesis applies CAI to social role-playing, introducing an end-to-end process for compositing recorded performances from thousands of humans, and simulating open-ended interaction from this data. The CAI process combines crowdsourcing, pattern discovery, and case-based planning. Content creation is crowdsourced by recording role-players online. Browser-based tools allow non-experts to annotate data, organizing content into a hierarchical narrative structure. Patterns discovered from data power a novel system combining plan recognition with case-based planning. The combination of this process and structure produces a new medium, which exploits a massive corpus to realize characters who interact and converse with humans. This medium enables new experiences in videogames, and new classes of training simulations, therapeutic applications, and social robots. .... As a proof of concept, a CAI system has been evaluated by recording over 10,000 performances in The Restaurant Game, automating an AI-controlled waitress who interacts in the world, and converses with a human via text or speech. Quantitative results demonstrate CAI supports significantly open-ended interaction with humans, while focus groups reveal factors for improving engagement."

Abstract: "This paper proposes a new framework for automated analysis of game-play metrics for aiding game designers in nding out the critical aspects of the game caused by factors like design modications, change in playing style, etc. The core of the algorithm measures similarity between spatial distribution of user generated in-game events and automatically ranks them in order of importance. The feasibility of the method is demonstrated on a data set collected from a modern, multiplayer First Person Shooter, together with application examples of its use. The proposed framework can be used to accompany traditional testing tools and make the game design process more efficient."

Abstract: "As computational capability continues to increase, the tools available to designers of digital games have become more robust, allowing high fidelity graphics and sound to become common, and resulting in a market saturated with kinetic-based games. However, consumers and educators are eschewing such games for more complex and immersive stories, the creation of which has proven a difficult mountain for designers to climb. A central reason is that story-immersive games rely on dialogue between the player character (PC) and nonplayer characters (NPCs), the writing and coding of which is time consuming and inefficient. This paper documents the author's experiences with complex, branching dialogue systems, and examines the possibility of system automation through natural language processing (NLP)."