Group items tagged

Abstract: "This paper propose an educational computer game design model for Malaysian Science and Technology classroom. The model consist of three aspects of game design which are divided into two core component: Learn and Play. The two core components represent the elements of learning and playing in the educational computer game. Balance integration of both components is essential in developing a good educational computer game. The first aspect of game design is the game elements. Game elements referred to elements that form the base of the educational computer game which are the National Curriculum and also computer as the game design platform. The second aspect of game design is the game environments which comprises of teacher and students. Integration of both instructional (teacher's role) and playing (student's role) elements in the game will form the base of the game environments. The third aspect is the factors that need to be considered by the game designer and education expert in designing effective educational computer game. The model aim to guide educational computer game designer and educational expert in developing educational computer game for Malaysian classroom."

Abstract: "This paper introduces Rank-based Interactive Evo- lution (RIE) which is an alternative to interactive evolution driven by computational models of user preferences to generate personalized content. In RIE, the computational models are adapted to the preferences of users which, in turn, are used as fitness functions for the optimization of the generated content. The preference models are built via ranking-based preference learning, while the content is generated via evolutionary search. The proposed method is evaluated on the creation of strategy game maps, and its performance is tested using artificial agents. Results suggest that RIE is both faster and more robust than standard interactive evolution and outperforms other state-of- the-art interactive evolution approaches"

"In this paper we present an ap- proach for serious game development, based on the model-driven game development techniques. Our approach aims at reducing the complexity of game design and implementation by separating the conceptual envi- ronment of the game and its concrete implementation.We rst dene the abstract models that characterize the structure and behavior of the game. Then, with the software architecture model and the platform-specic model, we transform the abstract models into concrete implementations. The resulting prototypes are generated completely (100%)."

"Objects in 3D games are typically shell models, a polygon mesh representing the shell or skin of the object. While emulation of the behaviour of shell models under combustion is sucient for many game applications and is fairly well studied, solid objects do in fact burn rather dierently than shell objects. We show how to manipulate shell models so that they appear to burn as solid models. Since our burning objects will be only a small part of a video game, computation speed is of the essence. We demonstrate that our method uses only a fraction of the computational power available by implementing the computation on a modest GPU using CUDA."

"ABSTRACT The art form of the video game has a very idiosyncratic reliance on the process and practice of its designers. We work with creative and computational problems that form a web of deep complexity. And yet, as I have noticed in my professional practice as a game designer, we do not use tools to support our design process. For more than a decade, designers and researchers have argued for the development and use of both conceptual and concrete tools. To this end, formal and semi-formal game design models have been proposed and, more recently, experimental software-based tools have been developed by the research community. To date, however, none of these tools or models have been adopted into mainstream practice within the game design community. In this paper I argue that it is difficult, if not methodologically flawed, to assess the work in the field of game design support without more qualitative data on how such tools fare in actual game design practice. Evaluation research would be an essential contribution towards answering the question of whether - and if so, how - these experimental formal models and tools can support and improve the game design process."

Abstract: "Cloud gaming now makes any computer game playable on a thin client without the previous worries and frustrations about the hardware requirements. It frees players from the need to frequently upgrade their computers as they can now play games that are hosted on remote servers with a broadband Internet connection and a thin client. However, cloud games are intrinsically more susceptible to latency than online games because game graphics are rendered on cloud servers and thin clients do not possess game state information that is required by delay compensation techniques. In this paper, we investigate how the response latency in cloud gaming would affect users' experience and how the impact of latency on players' experience varies among different games. We show that not all games are equally friendly to cloud gaming. That is, the same degree of latency may have very different impacts on a game's quality of experience depending on the game's real-time strictness. We thus develop a model that can predict a game's real-time strictness based on the rate of players' inputs and the game screen dynamics. The model can be used to simultaneously enhance players' gaming and optimize the operation cost of data centers."

Abstract: "We propose a powerful new tool for conducting research on computational intelligence and games. 'PyVGDL' is a simple, high-level description language for 2D video games, and the accompanying software library permits parsing and instantly playing those games. The streamlined design of the language is based on defining locations and dynamics for simple building blocks, and the interaction effects when such objects collide, all of which are provided in a rich ontology. It can be used to quickly design games, without needing to deal with control structures, and the concise language is also accessible to generative approaches. We show how the dynamics of many classical games can be generated from a few lines of PyVGDL."

Abstract: "We present a method for simulating the melting and owing of material in burning objects fast enough to be of use in video games where most of the graphical and computational resources are needed elsewhere. The standard practice of us- ing particle engines or uid dynamics for melting are far too costly for use in this environment. We demonstrate that our method, which is based on systematic polygonal expanding and folding, uses only a fraction of the computational power avail- able by implementing the computation on a very modest GPU using CUDA"

"Abstract-While component reuse is a common concept in software engineering, it does not yet have a strong foothold in Computer Game development, in particular the development of computer-controlled game characters. In this work, we take a modular Statechart-based game AI modelling approach and develop a reuse strategy to enable fast development of new AIs. This is aided through the creation of a standardized interface for Statechart modules in a layered architecture. Reuse is enabled at a high-level through functional groups that encapsulate behaviour. These concepts are solidified with the development of the SkyAI tool. SkyAI enables a developer to build and work with a library of modular components to develop new AIs by composing modules, and then output the resulting product to an existing game. Efficacy is demonstrated by reusing AI components from a tank to quickly make a much different AI for a simple animal."

From the abstract: "Traditionally, the tasks associated with game AI revolved around non player character (NPC) behavior at dierent levels of control, varying from navigation and pathnding to decision making. Commercial-standard games developed over the last 15 years and current game productions, however, suggest that the traditional challenges of game AI have been well addressed via the use of sophisticated AI approaches, not necessarily following or inspired by advances in academic practices. The marginal penetration of traditional academic game AI methods in industrial productions has been mainly due to the lack of constructive communication between academia and industry in the early days of academic game AI, and the inability of academic game AI to propose methods that would signicantly advance existing development processes or provide scalable solutions to real world problems. Recently, however, there has been a shift of research focus as the current plethora of AI uses in games is breaking the non-player character AI tradition. A number of those alternative AI uses have already shown a signicant potential for the design of better games. This paper presents four key game AI research areas that are currently reshaping the research roadmap in the game AI eld and evidently put the game AI term under a new perspective. These game AI agship research areas include the computational modeling of player experience, the procedural generation of content, the mining of player data on massive-scale and the alternative AI research foci for enhancing NPC capabilities."

"The high cost of launching resources from the Earth's surface is a significant barrier to future long- duration human space exploration. A future resource economy in space may allow resource production, processing, storage, and transportation at distributed locations, but will have many stakeholders with var- ied and potentially competing objectives. Simulation games provide a medium for communication and learning richer than papers or linear presentations by combining the technical capabilities of simulation models with human interaction. Building on technology powering military wargames, federated simulation architectures such as HLA-Evolved use independently-developed simulation models connected over a dis- tributed network of computers. This paper presents an approach for developing a multi-player simulation gaming environment where human players take on roles of organizations or government agencies within scenarios designed to address the design and operation of a resource economy in space. The game design addresses the number of players, time advancement, level of abstraction, scenario selection, and other de- cisions based on past simulation games in the domains of military-political, educational, disaster response, and business-management games. Future research will focus on evaluating game executions to analyze human decision-making under various scenarios. Quantitative analysis of decisions using game logs com- bined with qualitative analysis of interviews and surveys will contribute to strategies for a future resource economy in space."

Massively multiplayer online role-playing games (MMORPGs) have great potential as sites for research within the social and human-computer interaction. In the MMORPGs, a stability player taxonomy model is very important for game design. It helps to balance different types of players and improve business strategy of the game.

"e describe an approach for developing an in- telligent game master (GM) for computer role-playing games. The role of the GM is to set up the game environment, man- age the narrative ow and enforce the game rules whilst keeping the players engaged. Our approach is to use the popular Belief-Desire-Intention (BDI) model of agents to de- veloping a GM."

"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"

Abstract: "A recent trend within computational intelligence and games research is to investigate how to affect video game players' in-game experience by designing and/or modifying aspects of game content. Analysing the relationship between game content, player behaviour and self-reported affective states constitutes an important step towards understanding game experience and constructing effective game adaptation mechanisms. This papers reports on further refinement of a method to understand this relationship by analysing data collected from players, building models that predict player experience and analysing what features of game and player data predict player affect best. We analyse data from players playing 780 pairs of short game sessions of the platform game Super Mario Bros, investigate the impact of the session size and what part of the level that has the major affect on player experience. Several types of features are explored, including item frequencies and patterns extracted through frequent sequence mining."

Abstract: "Abstract-In computer games and simulations, content is often rather static and rigid. As a result, its prescripted nature can lead to predictable and impersonal gameplay, while alienating unconventional players. Adaptivity in games has therefore been recently proposed to overcome these shortcomings and make games more challenging and appealing. In this paper, we survey present research on game adaptivity, identifying, and discussing the main challenges, and pointing out some of the most promising directions ahead.We first survey the purposes of adaptivity, as the principles that could steer an adaptation and generation engine. From this perspective, we proceed to thoroughly discuss adaptivity's targets and methods. Current advances and successes in this emerging field point to many yet unexplored research opportunities. Among them, we discuss the use of gameplay expectations, learning preferences, and assessment data in the integrated adaptation of game worlds, scenarios, and quests. We conclude that, among other methods, procedural content generation and semantic modeling can powerfully combine to create offline customized content and online adjustments to game worlds, scenarios, and quests. These and other promising methods, deserving ample research efforts, can therefore, be expected to significantly contribute towards making games and simulations even more unpredictable, effective, and fun."

Abstract: "Abstract Game developers spend a large portion of their time developing and tweaking the articial intelligence in video games. Problems related to productivity in the development of AI have been solved using various modeling techniques in the eld of AI, language design and easier to use editors. Using a domain specic language to assist in describing AI can increase productivity in this area. In addition to this, game developers can be relieved from irrelevant tasks such as worrying about performance, correctness of the implementation, memory management and optimiza- tion data structures and focus on the high level description of the game play. In this thesis, we focus on real-time video games and we investigate the development of a domain-specic language containing the necessary elements to describe and execute strategies to achieve goals in a real-time video game. We develop a domain-specic language to express strategies for computer controlled actors using techniques commonly found in em- bedded domain-specic languages, and in particular embedded domain- specic languages in Haskell. To demonstrate this language we have developed a prototype of a real-time strategy game that uses strategies implemented using the domain-specic language developed in this thesis"

Abstract: "A number of changes are occurring in the field of computer game development: persistent online games, digital distribution platforms, social and mobile games, and the emer- gence of new business models have pushed game development to put heavier emphasis on the live operation of games. Artificial intelligence has long been an important part of game development practices. The forces of change in the industry present an opportunity for Game AI to have new and profound impact on game development practices. Specifically, Game AI agents should act as "producers" responsible for managing a long-running set of live games, their player communities, and real-world context. We characterize a confluence of four major forces at play in the games industry today, together producing a wealth of data that opens unique research opportunities and challenges for Game AI as producers. We enumerate 12 new research areas spawned by these forces and steps toward how they can be addressed by data-driven Game AI Producers"

Abstract: "In this study, we device a digital game, which possessed scientific and fun, base on the conception of insects (DGBI), then can use it to test elementary school student's conception about insect. The DGBI materials creating pattern use as the ADDIE model. First step is to analyze the DGBI materials. We analyze student's alternative conceptions of insect and what the teaching staff needs to teach in the section of insect, and then we develop three teaching units, namely the ―Bugs Adventure‖, ―Legs and Wings "and" Mouthparts and feeding habits‖. Second, design the DGBI. Making DGBI has a clear teaching aim, multi-learning strategy like conception puzzle, computer simulation and conception mapping etc, an artistic and convenient operating media interface and a learning content that is easy to understand by the words and video in the DGBI materials. Third, develop the DGBI. Developing DGBI includes making animation component and composing animation component, these animation components makes 94.4% of students prefer to use DGBI materials to learn the conceptions of insect, especially the constructional detail magnify function and interactive game design in the teaching materials increase the student's learning interest. Forth, implement DGBI. We invite Two national college professors and four senior science teachers to use DGBI, and then we interview them to collect the testing amendments, and corrected it.Fifth, evaluate DGBI. We use quasi-experiment design and questionnaire survey to evaluate DGBI. In the quasi-experiment design, we select 111 students for four classes in an elementary school in New Taipei City and ask them to use DGBI, and then we tested them by the ―Insects Conceptions test‖. We found that after using the DGBI materials, the student's post-test scores (13.64) is higher than the pre-test scores (7.55), and there are significant differences (t = 16.47,p = .00)and helps the student to establish the correct concept of insect

"Physics engines have created a whole new source of emergence and fun for digital games. Water simulation could add another similar emergent interaction element, but it is currently only rarely used as a part of gameplay. The reasons for this are analysed and different water simulation methods are compared, focusing on actual game usage. Based on this, we suggest using the extremely simple but fast pipe model. The simplicity of the underlying simulation can be masked in many ways using modern shader effects and other tricks. An example of the pipe method in action is given and compared to more sophisticated fluid solvers."