Current Issue : October - December Volume : 2011 Issue Number : 1 Articles : 4 Articles
The underlying goal of a competing agent in a discrete real-time strategy (RTS) game is to defeat an adversary. Strategic agents or participants must define an a priori plan to maneuver their resources in order to destroy the adversary and the adversary's resources as well as secure physical regions of the environment. This a priori plan can be generated by leveraging collected historical knowledge about the environment. This knowledge is then employed in the generation of a classification model for real-time decision-making in the RTS domain. The best way to generate a classification model for a complex problem domain depends on the characteristics of the solution space. An experimental method to determine solution space (search landscape) characteristics is through analysis of historical algorithm performance for solving the specific problem. We select a deterministic search technique and a stochastic search method for a priori classification model generation. These approaches are designed, implemented, and tested for a specific complex RTS game, Bos Wars. Their performance allows us to draw various conclusions about applying a competing agent in complex search landscapes associated with RTS games....
As new and more powerful mobile devices arrive, such as smartphones, tablets and PDAs, so do new ways of interaction emerge for the users and developers to explore. These devices allow for the creation of never-before-seen applications, using the broad range of inputs and sensors these devices integrate (such as accelerometers, light sensors, electronic compasses, GPS sensor among others), that allow for more ubiquous and personalized experiences. This paper explores issues that arise during the development and design phases of such games, as well as posible solutions for them. Finally we present, a framework for the development of location-based games that is sensible to these issues. This framework was created and tested thanks to a proof-of-concept location-based game (Geo-Wars)....
Computer gaming habits have a tendency to evolve with technology, the best being ones that immerse both our imagination and intellect. Here, we describe a new game platform, an Augmented Reality Rubik's cube. The cube acts simultaneously as both the controller and the game board. Gameplay is controlled by the cube, and game assets are rendered on top of it. Shuffling and tilting operations on the cube are mapped to game interaction. We discuss the game design decisions involved in developing a game for this platform, as well as the technological challenges in implementing it. Ultimately, we describe two games and discuss the conclusions of an informal user study based on those games....
This paper proposes a novel agent personality representation model used to provide interagent adaptation in modern games, coined as the Tactical Agent Personality (TAP). The TAP represents the tactical footprints of a game agent using a weighted network of actions. Directly using the action probabilities to model an agent's personality, removes the time and effort required by experts to craft the model as well as eliminates the performance dependency on expert knowledge. The effectiveness, versatility, generality, scalability, and robustness claims of the TAP architecture and its variations are applied and evaluated across a variety of game scenarios, namely, First-person shooters (FPSs), real-time strategy (RTS) games, and role-playing games (RPG), where they are shown to exhibit plausible adaptive behavior....
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