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Journal of Artificial Societies and Social Simulation

Journal of Artificial Societies and Social Simulation
Modelling Research Policy: Ex-Ante Evaluation of Complex Policy Instruments Petra Ahrweiler, Michel Schilperoord, Andreas Pyka and Nigel Gilbert The Complexities of Agent-Based Modeling Output Analysis Ju-Sung Lee, Tatiana Filatova, Arika Ligmann-Zielinska, Behrooz Hassani-Mahmooei, Forrest Stonedahl, Iris Lorscheid, Alexey Voinov, Gary Polhill, Zhanli Sun and Dawn C. Parker Transitions Between Homophilic and Heterophilic Modes of Cooperation Genki Ichinose, Masaya Saito, Hiroki Sayama and Hugues Bersini "Anarchy" Reigns: A Quantitative Analysis of Agent-Based Modelling Publication Practices in JASSS, 2001-2012 Simon D Angus and Behrooz Hassani-Mahmooei High Standards Enhance Inequality in Idealized Labor Markets Károly Takács and Flaminio Squazzoni Combining Segregation and Integration: Schelling Model Dynamics for Heterogeneous Population Erez Hatna and Itzhak Benenson Emergence and Collapse of the Norm of Resource Sharing Around Locally Abundant Resources Shiro Horiuchi

First Steps with NetLogo First Steps with NetLogo Lets take a few first steps with our modeling frameworks. We will be fairly brief , limiting ourselves to simple "kicking the tires" and writing a hello world in each ABM system (here is the RePast First Steps). Our goal is to gain a feel for what each system is capable of so that we can make intelligent decisions on which one to use for a given task. Note: most images below can be clicked on for a full size image. Introducing NetLogo Note the surprising result with the initial settings: wanting 30% similar neighbors generally results in over 70% similar! Now lets try a few simple commands. Kicking The Tires: The Command Center The command center accepts commands in three contexts: commands for the global Observer, or for commands sent to all of the individual Turtles or Patches as a group. Buttons: A "Hello World" Model We will build our model in four phases, in order to make learning a simple, step-by-step process. From the File menu chose "New". Whew! On to RePast

How Orgasms Work" When gynecologist William H. Masters received official approval for his research project from Washington University in 1954, it was one of academia's closest-kept secrets at the time [source: Kolodny]. Masters even recruited a group of influential community leaders to help ward off any negative public reaction should his scholarly pursuits leak out. Sure, Alfred Kinsey had published "Sexual Behavior in the Human Female" the previous year, but the more hands-on tack Masters intended to take would've certainly ruffled moralistic feathers in that "Leave It to Beaver" era. Over the next 12 years, Masters and his research assistant Virginia Johnson would analyze the sexual arousal patterns among 694 men and women. Compiling more than a decade's-worth of clinical research, Masters and Johnson outlined how men and women achieve sexual orgasms in their 1966 best-seller "Human Sexual Response."

70 Super Useful Twitter Hashtags for Homeschoolers If you’re teaching homeschool, you may already be using Twitter to keep in touch with friends, family, and other homeschoolers. But did you know that there are so many resources available through the messaging service? By simply following hashtags, you can get connected with discussion groups, resources, advice, and more. Check out these hashtags to get help with homeschooling and so much more. General Homeschooling, unschooling, and more can be found here. #homeschooling: Parents share this tag to talk about experiences in homeschooling. Age & Needs Groups Whether you have a special needs child or just want to find tweets about teaching specific age groups, you’ll find what you want here. #ece: Early childhood education resources, articles, and more are on #ece. Distance Education If you’re using or are interested in distance and online education for your kids, you can find information on these hashtags. #disted: Distance education resources can be found on #disted. Home & Parenting Curriculum

How Kai Fu Lee Talked Me Out of Making a Million Dollars Altucher Confidential Posted by James Altucher The other day on Twitter someone asked me how to make a billion dollars. My response: first make a million. [As an aside: follow and ask me any question on Twitter]. I wanted to make what I thought would be a quick and easy milion dollars at the age of 20. (Lee Chang Ho in the Chun Lan Cup championship, 2005) I was obsessed with the game while I was in grad school. So I visited Kai Fu Lee. (Kai-Fu Lee) I had first met Kai Fu Lee when I was trying to decide what grad school to go to. But later, when I visited Kai-Fu, it had nothing to do with speech recognition. The basic idea was this (very basic): take 10,000 othello positions that are either totally winning or totally losing. Make the move that most closely matches a winning position. So I wanted to win a million dollars by using his same technique for Go and I went to him asked him if he would work on it with me. I gave up. Related Links: Follow me on twitter Kai-Fu Lee’s original research paper on Othello

Innovation without Age Limits Plugged in: A programmer shows his style at a New York area hackathon. Young people entering the workforce today have never known a world without the Web. Venture capitalists in Silicon Valley prefer to fund the young, the next Mark Zuckerberg. Why? The common mantra is that if you are over 35, you are too old to innovate. To a degree, the cult Silicon Valley has built around young people makes sense—particularly in the Internet and mobile technology. These graduates grew up in an era when the whole world was becoming connected. The young understand the limits of the Web world, but they don’t know their own limits. But great ideas by themselves don’t lead to breakthrough technologies or successful companies. Indeed, research by my team revealed that the average and median age of the founders of successful U.S. technology businesses (with real revenues) is 39.

This Is Generation Flux: Meet The Pioneers Of The New (And Chaotic) Frontier Of Business Structural Biology/ Biochemistry 241: Biological Macromolecules 3 credits MWF 1:00 – 2:30 Room M112 Course Description To truly understand biological processes we must understand the macromolecules that carry out biological function. Regardless of one's particular areas of research, this knowledge allows better design and evaluation of experiments and deeper appreciation of the essence of biology. This course provides a rigorous background that will allow students to glean information from protein structures and to use and evaluate thermodynamic and kinetic concepts to understand biological function. Concepts of thermodynamics, molecular forces, and kinetics of enzymatic and diffusional processes will be introduced and related to their practical application in experimental design and interpretation. Course Director: Bill Weis Teaching Assistants: Dan Kraut (dkraut@stanford) Office hours Thursdays from 4-6 in Beckman B477 (5-6763) Stefan Larson (smlarson@stanford) Office hours Tuesdays from 3-4:30 in Keck 316 Rebecca Piskorowski (rapisko@stanford) Course Instructors:

User:Pathoschild Do you mind running the synchbot for me again?[edit] The following discussion is marked as answered. If you have a new comment, place it just below the box. Hey Pathoschild. You ran your synchbot for me a couple of days ago, but as it turns out, contrary to what I had believed, not all of my accounts were created. Sure; just add a new request to do so. Please explain[edit] The following discussion is marked as answered (edits are part of the Synchbot service). Dear Pathoschild, please explain your obscure contributions to the Dutch Wikivoyage. Hoi Menno, excuses voor het inbreken, maar ik vraag me af wat het probleem is. Hi Menno. Files at kw.wiki[edit] The following discussion is marked as answered (can request deletions on Steward requests/Miscellaneous). Hey, I see you often perform deletions at kw.wikipedia. Hello Del♉sion23. synchbot request[edit] The following discussion is marked as answered (see Synchbot service). Hi Pathoschild! Could you do me that favour please? Hi again! Oh.

M.A. in Digital Media Design for Learning - Get More Info This is an exciting time to work in educational media. Rapid changes in technology are reshaping learning, opening up opportunities for greater collaboration and creativity in teaching and learning. Our M.A. program in Digital Media Design for Learning (formerly Educational Communication and Technology) prepares professionals to take the lead in designing, evaluating, using, and studying technology-based learning environments. We also offer these degrees: Advanced Certificate in Digital Media Design for LearningPh.D. in Educational Communication and Technology. Take the Next Step Applications to the M.A. and Adv. Join our mailing list above to learn more. Be the change. Ranked the #17 Graduate School of Education by U.S. This site, and all its contents, are Copyright © 2014 by New York University.

विकिपीडिया:उल्लेखनीयता - विकिपीडिया विकिपीडिया जानकारी का अंधाधुंध संग्रह नहीं है। कुछ विषय विकिपीडिया के लिए उपयुक्त नहीं हैं: ऐसे विषयों पर पेज बनाने के लिए निजी वेबसाइट, ब्लॉग आदि अनुकूल है। विकिपीडिया के उल्लेखनीयता (notability) निर्देश यह निर्धारित करते हैं कि कोई विषय विकिपीडिया के लिए अनुकूल है या नहीं। सामान्य उल्लेखनीयता निर्देश[संपादित करें] अगर किसी विषय पर स्वतन्त्र और विश्वसनीय स्रोत उपलब्ध है, जिनमें इस विषय को महत्वपूर्ण उल्लेख मिला है तो यह विषय एक लेख या सूची में शामिल करने के उल्लेखनीयता मानदंडों को पूरा करता है। दिए गए विषय पर विश्वसनीय तृतीय पक्ष के स्रोत उपलब्ध होने चाहिएँ, अथवा यह विषय विकिपीडिया के हिसाब से उल्लेखनीय नहीं माना जाता है। निहित उल्लेखनीयता[संपादित करें] कुछ विषय निहित रूप से उल्लेखनीय माने जाते हैं, जैसेः यह नोट करें कि विकिपीडिया पर लेख बनाने के लिए ऐसी चीज़ों के अस्तित्व को साबित करना ज़रूरी है। उदाहरण[संपादित करें] अनुल्लेखनीय विषय[संपादित करें] "मेरा कुत्ता टॉमी": मान लीजिए कि टॉमी आपका कुत्ता है जिसने एक-दो स्थानीय डॉग-शो जीत लिए हैं।

Add Facebook Comments Box To Blogger Blogs - New! | Blogger Widgets, Tricks and Templates 1. If you wish to completely hide the blogger comments form then read Replace Blogger comments form With Facebook 2. Show both Facebook and Blogger Comments inside Tabs! In 2009 Facebook developers introduced their best social plugin called "Facebook Comments Box". Live Demo This is how the Facebook Comments box looks like, Interesting? 1- Get a Facebook Application ID 3. 5. 6. 7. 8. 2- Adding the Facebook comments Box to Blogger Now its time to do embed the comments box in your blog templates. xmlns:fb=' 5. Note: In New Blogger Designed templates the same code looks like this, Find any one of these codes and just after it paste the code given below, Replace YOUR_APP_ID with your Facebook application ID that you saved in a notepad. 6. Make these changes: Replace MY Blogger Tricks with your blog title/Name. 8. Respect Copyright Need More Fun?

EPIC Systems - Trend Compass Trend Compass is a data visualization software using the latest and most powerful ideas in data visualization which is the Animated Motion Chart. Presenting our outstanding motion charts software - Trend Compass; we shall know more about motion charts, and as motion charts are a trend of data visualization; we shall also know what data visualization term means theoretically and practically. Data Visualization is the study of the visual representation of data, defined as information which has been abstracted in some schematic form, including attributes or variables for the units of information. Practically; the aim of data visualization is to purge the burden of analyzing blocks of data by converting these blocks into user-friendly figures which can easily tell what this data means, thus minimizing effort, time, and money consumed in analyzing raw blocks of data. The chart below represents the data of 3 rate plans (“Star”, “Primo” and “Alo”) of a GSM mobile company. N.B.

From laughing to judging in fifty years: The evolution of televised emotion A new study from NBC reveals how emotions generated from TV shows have mirrored American society. And 'judgment' is the current king of the charts. Glee's Sue Sylvester, played by Jane Lynch By Daniel Roberts, reporter If you're on TV, whether in a drama or reality show, chances are that Americans are sitting on their couches, silently judging you. According to the study, made available exclusively to Fortune, the emotion most frequently elicited by today's top shows is 'judgment,' defined for the purposes of the study as "this show invites me to pass judgment on the actions of these characters." Lauren Zalaznick, President of NBC Universal Women and Lifestyle Entertainment Networks, ran the study and first presented its findings to guests at the TEDWomen conference this month. But the study goes beyond just the current era of TV tastes. Inspiration vs. Comfort vs. Humor vs.

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