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An Embeddable, High-Performance Scripting Language and Its Applications
Lua an embeddable, high-performance scripting language and its applications Hisham Muhammad [email protected] PUC-Rio, Rio de Janeiro, Brazil IntroductionsIntroductions ● Hisham Muhammad ● PUC-Rio – University in Rio de Janeiro, Brazil ● LabLua research laboratory – founded by Roberto Ierusalimschy, Lua's chief architect ● lead developer of LuaRocks – Lua's package manager ● other open source projects: – GoboLinux, htop process monitor WhatWhat wewe willwill covercover todaytoday ● The Lua programming language – what's cool about it – how to make good uses of it ● Real-world case study – an M2M gateway and energy analytics system – making a production system highly adaptable ● Other high-profile uses of Lua – from Adobe and Angry Birds to World of Warcraft and Wikipedia Lua?Lua? ● ...is what we tend to call a "scripting language" – dynamically-typed, bytecode-compiled, garbage-collected – like Perl, Python, PHP, Ruby, JavaScript... ● What sets Lua apart? – Extremely portable: pure ANSI C – Very small: embeddable, about 180 kiB – Great for both embedded systems and for embedding into applications LuaLua isis fullyfully featuredfeatured ● All you expect from the core of a modern language – First-class functions (proper closures with lexical scoping) – Coroutines for concurrency management (also called "fibers" elsewhere) – Meta-programming mechanisms ● object-oriented ● functional programming ● procedural, "quick scripts" ToTo getget licensinglicensing outout ofof thethe wayway ● MIT License ● You are free to use it anywhere ● Free software -
UC Berkeley Previously Published Works
UC Berkeley UC Berkeley Previously Published Works Title Building the Second Mind, 1961-1980: From the Ascendancy of ARPA-IPTO to the Advent of Commercial Expert Systems Permalink https://escholarship.org/uc/item/7ck3q4f0 ISBN 978-0-989453-4-6 Author Skinner, Rebecca Elizabeth Publication Date 2013-12-31 eScholarship.org Powered by the California Digital Library University of California Building the Second Mind, 1961-1980: From the Ascendancy of ARPA to the Advent of Commercial Expert Systems copyright 2013 Rebecca E. Skinner ISBN 978 09894543-4-6 Forward Part I. Introduction Preface Chapter 1. Introduction: The Status Quo of AI in 1961 Part II. Twin Bolts of Lightning Chapter 2. The Integrated Circuit Chapter 3. The Advanced Research Projects Agency and the Foundation of the IPTO Chapter 4. Hardware, Systems and Applications in the 1960s Part II. The Belle Epoque of the 1960s Chapter 5. MIT: Work in AI in the Early and Mid-1960s Chapter 6. CMU: From the General Problem Solver to the Physical Symbol System and Production Systems Chapter 7. Stanford University and SRI Part III. The Challenges of 1970 Chapter 8. The Mansfield Amendment, “The Heilmeier Era”, and the Crisis in Research Funding Chapter 9. The AI Culture Wars: the War Inside AI and Academia Chapter 10. The AI Culture Wars: Popular Culture Part IV. Big Ideas and Hardware Improvements in the 1970s invert these and put the hardware chapter first Chapter 11. AI at MIT in the 1970s: The Semantic Fallout of NLR and Vision Chapter 12. Hardware, Software, and Applications in the 1970s Chapter 13. -
Strategic Latency: Red, White, and Blue Managing the National and International Security Consequences of Disruptive Technologies Zachary S
Strategic Latency: Red, White, and Blue Managing the National and International Security Consequences of Disruptive Technologies Zachary S. Davis and Michael Nacht, editors Center for Global Security Research Lawrence Livermore National Laboratory February 2018 Disclaimer: This document was prepared as an account of work sponsored by an agency of the United States government. Neither the United States government nor Lawrence Livermore National Security, LLC, nor any of their employees makes any warranty, expressed or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States government or Lawrence Livermore National Security, LLC. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States government or Lawrence Livermore National Security, LLC, and shall not be used for advertising or product endorsement purposes. LLNL-BOOK-746803 Strategic Latency: Red, White, and Blue: Managing the National and International Security Consequences of Disruptive Technologies Zachary S. Davis and Michael Nacht, editors Center for Global Security Research Lawrence Livermore National Laboratory February -
Index Images Download 2006 News Crack Serial Warez Full 12 Contact
index images download 2006 news crack serial warez full 12 contact about search spacer privacy 11 logo blog new 10 cgi-bin faq rss home img default 2005 products sitemap archives 1 09 links 01 08 06 2 07 login articles support 05 keygen article 04 03 help events archive 02 register en forum software downloads 3 security 13 category 4 content 14 main 15 press media templates services icons resources info profile 16 2004 18 docs contactus files features html 20 21 5 22 page 6 misc 19 partners 24 terms 2007 23 17 i 27 top 26 9 legal 30 banners xml 29 28 7 tools projects 25 0 user feed themes linux forums jobs business 8 video email books banner reviews view graphics research feedback pdf print ads modules 2003 company blank pub games copyright common site comments people aboutus product sports logos buttons english story image uploads 31 subscribe blogs atom gallery newsletter stats careers music pages publications technology calendar stories photos papers community data history arrow submit www s web library wiki header education go internet b in advertise spam a nav mail users Images members topics disclaimer store clear feeds c awards 2002 Default general pics dir signup solutions map News public doc de weblog index2 shop contacts fr homepage travel button pixel list viewtopic documents overview tips adclick contact_us movies wp-content catalog us p staff hardware wireless global screenshots apps online version directory mobile other advertising tech welcome admin t policy faqs link 2001 training releases space member static join health -
DARPA Grand Challenge - Wikipedia 1 of 11
DARPA Grand Challenge - Wikipedia 1 of 11 DARPA Grand Challenge The DARPA Grand Challenge is a prize competition for American autonomous vehicles, funded by the Defense Advanced Research Projects Agency, the most prominent research organization of the United States Department of Defense. Congress has authorized DARPA to award cash prizes to further DARPA's mission to sponsor revolutionary, high- payoff research that bridges the gap between fundamental discoveries and military use. The initial DARPA Grand Challenge was created to spur the development of technologies needed to create the first fully autonomous ground vehicles capable of completing a substantial off-road course within a limited time. The third event, the DARPA Urban Challenge extended the initial Challenge to The site of the DARPA Grand Challenge on race autonomous operation in a mock urban environment. day, fronted by the Team Case vehicle, DEXTER The most recent Challenge, the 2012 DARPA Robotics Challenge, focused on autonomous emergency- maintenance robots. The first competition of the DARPA Grand Challenge was held on March 13, 2004 in the Mojave Desert region of the United States, along a 150-mile (240 km) route that follows along the path of Interstate 15 from just before Barstow, California to just past the California–Nevada border in Primm. None of the robot vehicles finished the route. Carnegie Mellon University's Red Team and car Sandstorm (a converted Humvee) traveled the farthest distance, completing 11.78 km (7.32 mi) of the course before getting hung up on a rock after making a switchback turn. No winner was declared, and the cash prize was not given. -
Proceedings of the 2005 IJCAI Workshop on Reasoning
Proceedings of the 2005 IJCAI Workshop on Reasoning, Representation, and Learning in Computer Games (http://home.earthlink.net/~dwaha/research/meetings/ijcai05-rrlcgw) David W. Aha, Héctor Muñoz-Avila, & Michael van Lent (Eds.) Edinburgh, Scotland 31 July 2005 Workshop Committee David W. Aha, Naval Research Laboratory (USA) Daniel Borrajo, Universidad Carlos III de Madrid (Spain) Michael Buro, University of Alberta (Canada) Pádraig Cunningham, Trinity College Dublin (Ireland) Dan Fu, Stottler-Henke Associates, Inc. (USA) Joahnnes Fürnkranz, TU Darmstadt (Germany) Joseph Giampapa, Carnegie Mellon University (USA) Héctor Muñoz-Avila, Lehigh University (USA) Alexander Nareyek, AI Center (Germany) Jeff Orkin, Monolith Productions (USA) Marc Ponsen, Lehigh University (USA) Pieter Spronck, Universiteit Maastricht (Netherlands) Michael van Lent, University of Southern California (USA) Ian Watson, University of Auckland (New Zealand) Aha, D.W., Muñoz-Avila, H., & van Lent, M. (Eds.) (2005). Reasoning, Representation, and Learning in Computer Games: Proceedings of the IJCAI Workshop (Technical Report AIC-05). Washington, DC: Naval Research Laboratory, Navy Center for Applied Research in Artificial Intelligence. Preface These proceedings contain the papers presented at the Workshop on Reasoning, Representation, and Learning in Computer Games held at the 2005 International Joint Conference on Artificial Intelligence (IJCAI’05) in Edinburgh, Scotland on 31 July 2005. Our objective for holding this workshop was to encourage the study, development, integration, and evaluation of AI techniques on tasks from complex games. These challenging performance tasks are characterized by huge search spaces, uncertainty, opportunities for coordination/teaming, and (frequently) multi-agent adversarial conditions. We wanted to foster a dialogue among researchers in a variety of AI disciplines who seek to develop and test their theories on comprehensive intelligent agents that can function competently in virtual gaming worlds. -
Procedural Content Generation for Computer Games
Procedural Content Generation for Computer Games Dissertation Presented in Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy in the Graduate School of The Ohio State University By Yinxuan Shi, B.S. Graduate Program in Computer Science and Engineering The Ohio State University 2016 Dissertation Committee: Dr. Roger Crawfis, Advisor Dr. Yusu Wang Dr. Eric Fosler-Lussier Dr. Neelam Soundarajan Copyrighted by Yinxuan Shi 2016 Abstract Procedural Content Generation (PCG) is no new concept for the gaming industry. From early games like Rogue (1980) and The Sentinel (1986) to more recent games like Diablo III (2012) and Path of Exile (2013), PCG is heavily used in dungeons, quests, mini bosses and even storyline creation. The advantages PCG offers is not just limited to empowering game designers with fast content prototype/creation, but can also provide in-game adaptation to player’s response and small memory footprint. While there is much research on PCG, few results contribute to the evaluation: Does the generated content makes the game more interesting/fun? To answer this question, we examine two applications of PCG. One is level creation and another is visual content creation such as crowds. For level creation, the existing techniques mainly focus on map/terrain generation. In games where the player either avoids or engages in combat against hostile targets, the player’s experience involves other aspects such as enemy and resource placement and navigation. The problem of creating a fun level can be formulated into searching for a good combination of these aspects. This leads to two problems: 1. -
Future Directions 2007 Getting Ready for What Comes Next
Future Directions 2007 Getting ready for what comes next '(ULFNVRQ-&ROOLHU60RQFNWRQ%%URWHQ-*LHVEUHFKW07UHQWLQL'+DQQD5 &KHVQH\'0DF.D\69HUUHW5$QGHUVRQ DefenceR&DCanada-Suffield 'HIHQFH5 '&DQDGD 7HFKQLFDO0HPRUDQGXP '5'&6XIILHOG70 'HFHPEHU Future Directions 2007 Getting ready for what comes next '(ULFNVRQ-&ROOLHU60RQFNWRQ%%URWHQ-*LHVEUHFKW07UHQWLQL'+DQQD5 &KHVQH\'0DF.D\69HUUHW5$QGHUVRQ DefenceR&DCanada-Suffield DefenceR&DCanada±Suffield TechnicalMemorandum DRDCSuffieldTM 'HFHPEHU2007 Author D. Erickson Defence R & D Canada - Suffield Approved by D. Hanna Head/Tactical Vehicle Systems Section Approved for release by Dr. R. Clewley Chairman/Document Review Panel © Her Majesty the Queen as represented by the Minister of National Defence, 2007 © Sa majesté la reine, représentée par le ministre de la Défense nationale, 2007 Abstract ThispapersummarizestheFutureDirections2007planningsymposium’soutcomes thatwasheldbyDRDCSuffieldstaffon17and18September2007.Participants proposedunconstrainedfutureautonomyscenarios,outliningwhattheysawasthenext step.Participantpresentationswereusedtoextractcommontimelinesandthemes aboutautonomoussystemsdevelopmentandmilitaryrobotics.Thissymposiumalso reviewedtheVWDWHRIWKHDUW,currentprograms,criticalresearchareas,andindicated promisingfutureresearchavenuesthatfitthecurrenttrends.Thesymposiumalso reviewedthepracticalityofreachingfullUnmannedVehicles(UxV)autonomyand recommendsamanintheloopsystemsconceptfortheforeseeablefuture.Giventhis systemconceptreality,itrecognizedanimportantshiftinfocustointroducemore “automaticity”soonerasanotherwaytoimpacttheclientandbringaboutautonomyin -
Shakey 2016 - How Much Does It Take to Redo Shakey the Robot? David Speck, Christian Dornhege, and Wolfram Burgard
IEEE ROBOTICS AND AUTOMATION LETTERS. PREPRINT VERSION. ACCEPTED JANUARY, 2017 1 Shakey 2016 - How Much Does it Take to Redo Shakey the Robot? David Speck, Christian Dornhege, and Wolfram Burgard Abstract—Shakey the robot was one of the first autonomous robots that showed impressive capabilities of navigation and mobile manipulation. Since then, robotics research has made great progress showing more and more capable robotic systems for a large variety of application domains and tasks. In this paper we look back on decades of research by rebuilding Shakey with modern robotics technology in the open-source Shakey 2016 system. Hereby we demonstrate the impact of research by showing that ideas from the original Shakey are still alive in state-of-the-art systems, while robotics in general has improved to deliver more robust and more capable software and hardware. Our Shakey 2016 system has been implemented on real robots and leverages mostly open-source software. We experimentally evaluate the system in real-world scenarios on a PR2 robot Fig. 1: Shakey at the Computer History Museum in Mountain View, California and a Turtlebot-based robot and particularly investigate the (left); The PR2 (middle) and the modified Turtlebot (right) used for the Shakey development effort. The experiments documented in this paper 2016 system. demonstrate that results from robotics research are readily available for building complex robots like Shakey within a short be gained. Another central point for the research community amount of time and little effort. is availability. Complex systems require multiple different components that are ideally available to any roboticist to be Index Terms—Autonomous Agents, AI-Based Methods able to utilize state-of-the-art algorithms. -
A Timeline of Artificial Intelligence
A Timeline of Artificial Intelligence by piero scaruffi | www.scaruffi.com All of these events are explained in my book "Intelligence is not Artificial". TM, ®, Copyright © 1996-2019 Piero Scaruffi except pictures. All rights reserved. 1960: Henry Kelley and Arthur Bryson invent backpropagation 1960: Donald Michie's reinforcement-learning system MENACE 1960: Hilary Putnam's Computational Functionalism ("Minds and Machines") 1960: The backpropagation algorithm 1961: Melvin Maron's "Automatic Indexing" 1961: Karl Steinbuch's neural network Lernmatrix 1961: Leonard Scheer's and John Chubbuck's Mod I (1962) and Mod II (1964) 1961: Space General Corporation's lunar explorer 1962: IBM's "Shoebox" for speech recognition 1962: AMF's "VersaTran" robot 1963: John McCarthy moves to Stanford and founds the Stanford Artificial Intelligence Laboratory (SAIL) 1963: Lawrence Roberts' "Machine Perception of Three Dimensional Solids", the birth of computer vision 1963: Jim Slagle writes a program for symbolic integration (calculus) 1963: Edward Feigenbaum's and Julian Feldman's "Computers and Thought" 1963: Vladimir Vapnik's "support-vector networks" (SVN) 1964: Peter Toma demonstrates the machine-translation system Systran 1965: Irving John Good (Isidore Jacob Gudak) speculates about "ultraintelligent machines" (the "singularity") 1965: The Case Institute of Technology builds the first computer-controlled robotic arm 1965: Ed Feigenbaum's Dendral expert system 1965: Gordon Moore's Law of exponential progress in integrated circuits ("Cramming more components -
Development of an Intelligent Wheelchair 3D Simulator/Visualizer
Faculdade de Engenharia da Universidade do Porto Development of an Intelligent Wheelchair 3D Simulator/Visualizer Maria João Tavares Barbosa Projecto de Dissertação realizado no âmbito do Mestrado Integrado em Engenharia Informática e Computação Áreas de Foco <Simulação Robótica/Motores de Jogos /Cadeiras de Rodas Inteligentes/Interacção e Multimédia> Orientador: Luís Paulo Gonçalves dos Reis (Professor Doutor) Co-orientador: Rui Pedro Amaral Rodrigues (Professor Doutor) Junho de 2011 © Maria João Tavares Barbosa, 2011 Development of an Intelligent Wheelchair 3D Simulator/Visualizer Maria João Tavares Barbosa Mestrado Integrado em Engenharia Informática e Computação Aprovado em provas públicas pelo Júri: Presidente: Pedro Manuel Henriques da Cunha Abreu (Professor Doutor) Vogal Externo: Artur José Carneiro Pereira (Professor Doutor) Orientador: Luís Paulo Gonçalves dos Reis (Professor Doutor) ____________________________________________________ 19 de Julho de 2011 Resumo Com o aumento da esperança média de vida da população dos países mais desenvolvidos, manter e aumentar a qualidade de vida das mesmas é agora uma tarefa essencial. Tal como, o aumento da qualidade de vida das pessoas com algum tipo de deficiência física ou mental que as incapacite a nível motor, pois estas pessoas têm o mesmo direito que as restantes à própria independência e autonomia. Antes de mais é necessário apresentar o projecto que se pretende desenvolver como dissertação de mestrado, cujo tema é “Development of an Intelligent Wheelchair Simulator/Visualizer”. Esta proposta de tese é uma investigação científica em torno de cadeiras de rodas inteligentes, ou seja, pretende focar principalmente as questões de independência e autonomia relacionadas com a capacidade motora. Cadeiras de rodas inteligentes são a solução considerada para permitir menor dependência de utilizadores de cadeiras de rodas. -
Free and Open Source Software
Free and open source software Copyleft ·Events and Awards ·Free software ·Free Software Definition ·Gratis versus General Libre ·List of free and open source software packages ·Open-source software Operating system AROS ·BSD ·Darwin ·FreeDOS ·GNU ·Haiku ·Inferno ·Linux ·Mach ·MINIX ·OpenSolaris ·Sym families bian ·Plan 9 ·ReactOS Eclipse ·Free Development Pascal ·GCC ·Java ·LLVM ·Lua ·NetBeans ·Open64 ·Perl ·PHP ·Python ·ROSE ·Ruby ·Tcl History GNU ·Haiku ·Linux ·Mozilla (Application Suite ·Firefox ·Thunderbird ) Apache Software Foundation ·Blender Foundation ·Eclipse Foundation ·freedesktop.org ·Free Software Foundation (Europe ·India ·Latin America ) ·FSMI ·GNOME Foundation ·GNU Project ·Google Code ·KDE e.V. ·Linux Organizations Foundation ·Mozilla Foundation ·Open Source Geospatial Foundation ·Open Source Initiative ·SourceForge ·Symbian Foundation ·Xiph.Org Foundation ·XMPP Standards Foundation ·X.Org Foundation Apache ·Artistic ·BSD ·GNU GPL ·GNU LGPL ·ISC ·MIT ·MPL ·Ms-PL/RL ·zlib ·FSF approved Licences licenses License standards Open Source Definition ·The Free Software Definition ·Debian Free Software Guidelines Binary blob ·Digital rights management ·Graphics hardware compatibility ·License proliferation ·Mozilla software rebranding ·Proprietary software ·SCO-Linux Challenges controversies ·Security ·Software patents ·Hardware restrictions ·Trusted Computing ·Viral license Alternative terms ·Community ·Linux distribution ·Forking ·Movement ·Microsoft Open Other topics Specification Promise ·Revolution OS ·Comparison with closed