Memento Mundi: Are Virtual Worlds History?
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The Videogame Style Guide and Reference Manual
The International Game Journalists Association and Games Press Present THE VIDEOGAME STYLE GUIDE AND REFERENCE MANUAL DAVID THOMAS KYLE ORLAND SCOTT STEINBERG EDITED BY SCOTT JONES AND SHANA HERTZ THE VIDEOGAME STYLE GUIDE AND REFERENCE MANUAL All Rights Reserved © 2007 by Power Play Publishing—ISBN 978-1-4303-1305-2 No part of this book may be reproduced or transmitted in any form or by any means – graphic, electronic or mechanical – including photocopying, recording, taping or by any information storage retrieval system, without the written permission of the publisher. Disclaimer The authors of this book have made every reasonable effort to ensure the accuracy and completeness of the information contained in the guide. Due to the nature of this work, editorial decisions about proper usage may not reflect specific business or legal uses. Neither the authors nor the publisher shall be liable or responsible to any person or entity with respects to any loss or damages arising from use of this manuscript. FOR WORK-RELATED DISCUSSION, OR TO CONTRIBUTE TO FUTURE STYLE GUIDE UPDATES: WWW.IGJA.ORG TO INSTANTLY REACH 22,000+ GAME JOURNALISTS, OR CUSTOM ONLINE PRESSROOMS: WWW.GAMESPRESS.COM TO ORDER ADDITIONAL COPIES OF THE VIDEOGAME STYLE GUIDE AND REFERENCE MANUAL PLEASE VISIT: WWW.GAMESTYLEGUIDE.COM ACKNOWLEDGEMENTS Our thanks go out to the following people, without whom this book would not be possible: Matteo Bittanti, Brian Crecente, Mia Consalvo, John Davison, Libe Goad, Marc Saltzman, and Dean Takahashi for editorial review and input. Dan Hsu for the foreword. James Brightman for his support. Meghan Gallery for the front cover design. -
What's an Agent, Anyway? a Sociological Case Study Leonard N
What's An Agent, Anyway? A Sociological Case Study Leonard N. Foner Abstract. The term "agent" has been picked up, widely appropriated, and in many cases misappropriated, by technical publications, lay publi- cations, and many researchers in computer science. I examine some of the appropriations and misappropriations, talk about their reasons and implications, and delve into a case study of an agent that is used to il- lustratively define what I consider an agent to be, and why many of the current uses of the term are misleading. The agent I consider is Julia, a TinyMUD robot of the Maas-Neotek family, all of whom have been in almost constant use at several sites on the Internet for the last two or three years. I also speak at length about the sociology of such agents, what we might expect to find in the future, and why sociology is such an important aspect to consider when investigating agent-oriented pro- 1 gramming. Agents and appropriation There has been a flurry of references to "agents" in both the lay and technical press in recent months. While the idea of computational agents that do one’s bid- 2 ding goes back decades, the explosion of recent press has been astonishing. Pattie 3 Maes and her group’s work on learning interface agents has been cited in at least two dozen publications in the last year or so, many of them lay press (e.g., The Los Angeles Times, Mass High Tech or semi-technical press (e.g., MacWeek, Mac- World, etc). A symposium at MIT on agents and their programming, held in Octo- ber of 1992, drew at least a thousand participants. -
Theescapist 031.Pdf
In talking further with Alex, I realize he that instance when expectations aren’t It’s the best online mag I’ve ever had didn’t see it coming. He was in design met, when bitterness ensues. Raph the pleasure of reading, and that’s not mode when he made the characters. He suggests that the client is in the hands of just because it’s the only one I’ve read. “It only took us 26 minutes to break it!” thought serpents were powerful and the enemy, and that developers should Well, actually it is ... but it’s still the I said, laughing. Everyone else was quick-striking animals and they made not trust the players. Cory Ondrejka of best! (So cliche). What I love most about laughing, too. Well, everyone except sense as a model for a fighting style. He Linden Lab, the developers of Second the mag is what a lot of others seem to Alex. didn’t expect us to take the martial art in Life has a slightly different take on this enjoy ... the perspective presented by any other way than just that. We idea, as we discovered when Pat Miller your writers and their grasp on the You see, Alex had been tinkering and expected a Friday night of fun, relaxation spoke with him. Also in this issue, Bruce gaming world as a whole. I would have planning for weeks on a new idea for a and laughter. That’s what we made it, Nielson discusses different companies’ to say that my favorite read thus far tabletop game and this was its big debut seeing humor in places it was not policies regarding modders. -
Adaptive Shooting for Bots in First Person Shooter Games Using Reinforcement Learning Frank G
180 IEEE TRANSACTIONS ON COMPUTATIONAL INTELLIGENCE AND AI IN GAMES, VOL. 7, NO. 2, JUNE 2015 Adaptive Shooting for Bots in First Person Shooter Games Using Reinforcement Learning Frank G. Glavin and Michael G. Madden Abstract—In current state-of-the-art commercial first person late the most kills. Objective based games also exist where the shooter games, computer controlled bots, also known as non- emphasis is no longer on kills and deaths but on specific tasks player characters, can often be easily distinguishable from those in the game which, when successfully completed, result in ac- controlled by humans. Tell-tale signs such as failed navigation, “sixth sense” knowledge of human players' whereabouts and quiring points for your team. Two examples of such games are deterministic, scripted behaviors are some of the causes of this. We ‘Capture the Flag’ and ‘Domination’. The former involves re- propose, however, that one of the biggest indicators of nonhuman- trieving a flag from the enemies' base and returning it to your like behavior in these games can be found in the weapon shooting base without dying. The latter involves keeping control of pre- capability of the bot. Consistently perfect accuracy and “locking defined areas on the map for as long as possible. All of these on” to opponents in their visual field from any distance are in- dicative capabilities of bots that are not found in human players. game types require, first and foremost, that the player is profi- Traditionally, the bot is handicapped in some way with either a cient when it comes to combat. -
Game Developer Magazine
>> INSIDE: 2007 AUSTIN GDC SHOW PROGRAM SEPTEMBER 2007 THE LEADING GAME INDUSTRY MAGAZINE >>SAVE EARLY, SAVE OFTEN >>THE WILL TO FIGHT >>EXCLUSIVE INTERVIEW MAKING SAVE SYSTEMS FOR CHANGING GAME STATES HARVEY SMITH ON PLAYERS, NOT DESIGNERS IN PANDEMIC’S SABOTEUR POLITICS IN GAMES POSTMORTEM: PUZZLEINFINITE INTERACTIVE’S QUEST DISPLAY UNTIL OCTOBER 11, 2007 Using Autodeskodesk® HumanIK® middle-middle- Autodesk® ware, Ubisoftoft MotionBuilder™ grounded ththee software enabled assassin inn his In Assassin’s Creed, th the assassin to 12 centuryy boots Ubisoft used and his run-time-time ® ® fl uidly jump Autodesk 3ds Max environment.nt. software to create from rooftops to a hero character so cobblestone real you can almost streets with ease. feel the coarseness of his tunic. HOW UBISOFT GAVE AN ASSASSIN HIS SOUL. autodesk.com/Games IImmagge cocouru tteesyy of Ubiisofft Autodesk, MotionBuilder, HumanIK and 3ds Max are registered trademarks of Autodesk, Inc., in the USA and/or other countries. All other brand names, product names, or trademarks belong to their respective holders. © 2007 Autodesk, Inc. All rights reserved. []CONTENTS SEPTEMBER 2007 VOLUME 14, NUMBER 8 FEATURES 7 SAVING THE DAY: SAVE SYSTEMS IN GAMES Games are designed by designers, naturally, but they’re not designed for designers. Save systems that intentionally limit the pick up and drop enjoyment of a game unnecessarily mar the player’s experience. This case study of save systems sheds some light on what could be done better. By David Sirlin 13 SABOTEUR: THE WILL TO FIGHT 7 Pandemic’s upcoming title SABOTEUR uses dynamic color changes—from vibrant and full, to black and white film noir—to indicate the state of allied resistance in-game. -
The New Third Place: Massively Multiplayer Online Gaming in American Youth Culture
Tidskrift för lärarutbildning och forskning Nr 3/2005 Årgång 12 FAKULTETSNÄMNDEN FÖR LÄRARUTBILDNING THE FACULTY BOARD FOR TEACHER EDUCATION Tidskrift för lärarutbildning och forskning nr 3 2005 årgång 12 Tidskrift för lärarutbildning och forskning (fd Lärarutbildning och forskning i Umeå) ges ut av Fakultetsnämnden för lärarutbildning vid Umeå universitet. Syftet med tidskriften är att skapa ett forum för lärarutbildare och andra didaktiskt intresserade, att ge information och bidra till debatt om frågor som gäller lärarutbildning och forskning. I detta avseende är tidskriften att betrakta som en direkt fortsättning på tidskriften Lärarutbildning och forskning i Umeå. Tidskriften välkomnar även manuskript från personer utanför Umeå universitet. Tidskrift för lärarutbildning och forskning beräknas utkomma med fyra nummer per år. Ansvarig utgivare: Dekanus Björn Åstrand Redaktör: Fil.dr Gun-Marie Frånberg, 090/786 62 05, e-post: [email protected] Bildredaktör: Doktorand Eva Skåreus e-post: [email protected] Redaktionskommitté: Docent Håkan Andersson, Pedagogiska institutionen Professor Åsa Bergenheim, Pedagogiskt arbete Docent Per-Olof Erixon, Institutionen för estetiska ämnen Professor Johan Lithner, Matematiska institutionen Doktorand Eva Skåreus, Institutionen för estetiska ämnen Universitetsadjunkt Ingela Valfridsson, Institutionen för moderna språk Professor Gaby Weiner, Pedagogiskt arbete Redaktionens adress: Tidskrift för lärarutbildning och forskning, Gun-Marie Frånberg, Värdegrundscentrum, Umeå universitet, 901 87 UMEÅ. Grafisk formgivning: Eva Skåreus och Tomas Sigurdsson, Institutionen för estetiska ämnen Illustratör: Eva Skåreus Original: Print & Media, Umeå universitet Tryckeri: Danagårds grafiska, 2005:2001107 Tekniska upplysningar till författarna: Tidskrift för lärarutbildning och forskning framställs och redigeras ur allmänt förekommande Mac- och PC-program. Sänd in manuskript på diskett eller som e-postbilaga. -
Learning Human Behavior from Observation for Gaming Applications
University of Central Florida STARS Electronic Theses and Dissertations, 2004-2019 2007 Learning Human Behavior From Observation For Gaming Applications Christopher Moriarty University of Central Florida Part of the Computer Engineering Commons Find similar works at: https://stars.library.ucf.edu/etd University of Central Florida Libraries http://library.ucf.edu This Masters Thesis (Open Access) is brought to you for free and open access by STARS. It has been accepted for inclusion in Electronic Theses and Dissertations, 2004-2019 by an authorized administrator of STARS. For more information, please contact [email protected]. STARS Citation Moriarty, Christopher, "Learning Human Behavior From Observation For Gaming Applications" (2007). Electronic Theses and Dissertations, 2004-2019. 3269. https://stars.library.ucf.edu/etd/3269 LEARNING HUMAN BEHAVIOR FROM OBSERVATION FOR GAMING APPLICATIONS by CHRIS MORIARTY B.S. University of Central Florida, 2005 A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in the School of Electrical Engineering and Computer Science in the College of Engineering and Computer Science at the University of Central Florida Orlando, Florida Summer Term 2007 © 2007 Christopher Moriarty ii ABSTRACT The gaming industry has reached a point where improving graphics has only a small effect on how much a player will enjoy a game. One focus has turned to adding more humanlike characteristics into computer game agents. Machine learning techniques are being used scarcely in games, although they do offer powerful means for creating humanlike behaviors in agents. The first person shooter (FPS), Quake 2, is an open source game that offers a multi-agent environment to create game agents (bots) in. -
Cheating by Video Game Participants
Cheating by Video Game Participants J.R. Parker University of Calgary [email protected] Abstract In this paper, I explore the concept of cheating in the medium of the video game. Why do people do it? How does online cheating differ from offline? The existence of cheat codes seems to imply that cheating is rampant and even encouraged - or perhaps it’s just that the codes are poorly named. I also look at criminal activity in games, and at some ways to reduce cheating activities in online games. Introduction The word ‘cheat’ carries with it ancient societal passions. There is deception associated with the word, a lie, but more than that. There is a deliberation about cheating that makes it a worse lie than most, and there is an implication of doing someone harm in order to benefit oneself. Biblical cheats have died for their sin, and card cheats in the old West suffered a similar fate. Technology has changed the manner in which people can cheat, and has created many new ways to do it. So-called computer crime, identity theft, phishing, and other modern ways of cheating are enabled by the prevalent use of digital technology in many areas of society. Of course, the activities listed above are actually crimes; yet non-criminal cheating takes place too. Plagiarism is now very easy because of search engines and the Internet (easier to detect, too!). People misrepresent their identity on the Web with greater frequency, sometimes in self-defense. Cheating at games has traditionally been held in low regard because people that you play with are often friends. -
Tesi G. De Maio.Pdf
UNIVERSITA` DEGLI STUDI DI SALERNO DIPARTIMENTO DI INFORMATICA \RENATO M. CAPOCELLI" CORSO DI DOTTORATO IN INFORMATICA XII CICLO { NUOVA SERIE anno accademico 2012-2013 Tesi di Dottorato in Informatica On The Evolution of Digital Evidence: Novel Approaches for Cyber Investigation Tutor Candidato prof. Giuseppe Cattaneo Giancarlo De Maio Coordinatore prof. Giuseppe Persiano Ai miei genitori. 1 2 Abstract Nowadays Internet is the fulcrum of our world, and the World Wide Web is the key to access it. We develop relationships on social networks and entrust sensitive documents to online services. Desktop applications are being replaced by fully-fledged web-applications that can be accessed from any devices. This is possible thanks to new web technologies that are being introduced at a very fast pace. However, these advances come at a price. Today, the web is the principal means used by cyber-criminals to perform attacks against people and organizations. In a context where information is extremely dynamic and volatile, the fight against cyber-crime is becoming more and more difficult. This work is divided in two main parts, both aimed at fueling research against cyber- crimes. The first part is more focused on a forensic perspective and exposes serious limi- tations of current investigation approaches when dealing with modern digital information. In particular, it shows how it is possible to leverage common Internet services in order to forge digital evidence, which can be exploited by a cyber-criminal to claim an alibi. Here- inafter, a novel technique to track cyber-criminal activities on the Internet is proposed, aimed at the acquisition and analysis of information from highly dynamic services such as online social networks. -
Gamebots: a 3D Virtual World Test-Bed for Multi-Agent Research Rogelio Adobbati, Andrew N
Gamebots: A 3D Virtual World Test-Bed For Multi-Agent Research Rogelio Adobbati, Andrew N. Marshall, Gal Kaminka, Steven Schaffer, Chris Sollitto Andrew Scholer, Sheila Tejada Computer Science Department Information Sciences Institute Carnegie Mellon University University of Southern California Pittsburgh, PA 15213 4676 Admiralty Way [email protected] Marina del Rey, CA 90292 {srs3, cs3} @andrew.cmu.edu {rogelio, amarshal, ascholer, tejada} @isi.edu ABSTRACT To address these difficulties, we have been developing a new type This paper describes Gamebots, a multi-agent system of research infrastructure. Gamebots is a project started at the infrastructure derived from an Internet-based multi-player video University of Southern California’s Information Sciences game called Unreal Tournament. The game allows characters to Institute, and jointly developed by Carnegie Mellon University. be controlled over client-server network connections by feeding The project seeks to turn a fast-paced multi-agent interactive sensory information to client players (humans and agents). Unlike computer game into a domain for research in artificial intelligence other standard test-beds, the Gamebots domain allows both human (AI) and multi-agent systems (MAS). It consists of a players and agents, or bots, to play simultaneously; thus providing commercially developed, complex, and dynamic game engine, the opportunity to study human team behavior and to construct which is extended and enhanced to provide the important agents that play collaboratively with humans. The Gamebots capabilities required for research. system provides a built-in scripting language giving interested Gamebots provides several unique opportunities for multi-agent researchers the ability to create their own multi-agent tasks and and artificial intelligence research previously unavailable with environments for the simulation. -
Piracy That Pays, 49 J. Marshall L. Rev. 217 (2015)
UIC Law Review Volume 49 Issue 1 Article 8 Fall 2015 Professional Video Gaming: Piracy That Pays, 49 J. Marshall L. Rev. 217 (2015) Elizabeth Brusa Follow this and additional works at: https://repository.law.uic.edu/lawreview Part of the Computer Law Commons, Entertainment, Arts, and Sports Law Commons, Intellectual Property Law Commons, and the Internet Law Commons Recommended Citation Elizabeth Brusa, Professional Video Gaming: Piracy That Pays, 49 J. Marshall L. Rev. 217 (2015) https://repository.law.uic.edu/lawreview/vol49/iss1/8 This Comments is brought to you for free and open access by UIC Law Open Access Repository. It has been accepted for inclusion in UIC Law Review by an authorized administrator of UIC Law Open Access Repository. For more information, please contact [email protected]. PROFESSIONAL VIDEO GAMING: PIRACY THAT PAYS ∗ ELIZABETH BRUSA I. INTRODUCTION ................................................................ 218 II. BACKGROUND................................................................... 221 A. A Brief History of Copyright Law ...........................222 B. What Does Copyright Protect? ................................224 C. Who Is a Copyright Owner? .....................................227 D. What Rights Are Granted by Copyright? ................228 E. Enforcement of Copyright ........................................229 F. The Fair Use Doctrine ..............................................231 III. ANALYSIS ......................................................................... 235 A. Two Potentially -
Predicting Crowdsourced Decisions on Toxic Behavior in Online Games [Please Cite the WWW’14 Version of This Paper]
STFU NOOB! Predicting Crowdsourced Decisions on Toxic Behavior in Online Games [Please cite the WWW’14 version of this paper] Jeremy Blackburn Haewoon Kwak University of South Florida Telefonica Research Tampa, FL, USA Barcelona, Spain [email protected] [email protected] ABSTRACT game. With the advent of the free-to-play business model, where One problem facing players of competitive games is negative, or the game is given away for free and the developers are supported toxic, behavior. League of Legends, the largest eSport game, uses via micro-transactions, a game’s sustainability is directly related a crowdsourcing platform called the Tribunal to judge whether a to the strength of its community. A large, healthy community at- reported toxic player should be punished or not. The Tribunal is a tracts new players and keeps existing players engaged and willing two stage system requiring reports from those players that directly to spend money. Left unchecked, toxic behavior threatens to tear a observe toxic behavior, and human experts that review aggregated game’s community apart. reports. While this system has successfully dealt with the vague There have been many attempts to deal with toxic behavior. The nature of toxic behavior by majority rules based on many votes, it earliest required direct human intervention, usually from a game naturally requires tremendous cost, time, and human efforts. master/administrator. While accurate and decisive, this type of sys- In this paper, we propose a supervised learning approach for tem doesn’t scale when there are 10s of millions of active players. predicting crowdsourced decisions on toxic behavior with large- More recently, crowdsourced systems, which make use of the input scale labeled data collections; over 10 million user reports involved of many humans, have arisen.