Review of Costopoulos, Andre and Lake, Mark W. (eds.): Simulating Change: Archaeology into the Twenty-First Century (Foundations of Archaeological Inquiry)
The contributors to this thought-provoking volume address two major questions concerning agent-based modelling in archaeology: is such modelling going to play a substantial role in archaeological studies in the future, and, if so, why has it not played much of a role in the forty or so years since it was first proposed (by, amongst others, the present reviewer)? JASSS readers will incline to say "yes" to the first question and to be puzzled by the second. However, the answers offered to these questions by the contributors are diverse and certainly of interest to all working with agent-based modelling in any of the social sciences.
SoNIA - Social Network Image Animator
Social Network Image Animator What is it? SoNIA is a Java-based package for visualizing dynamic or longitudinal "network" data. By dynamic, we mean that in addition to information about the relations (ties) between various entities (actors, nodes) there is also information about when these relations occur, or at least the relative order in which they occur. Our intention for SoNIA is to read-in dynamic network information from various formats, aid the user in constructing "meaningful" layouts, and export the resulting images or "movies" of the network, along with information about the techniques and parameter settings used to construct the layouts, and some form of statistic indicating the "accuracy" or degree of distortion present in the layout.
NetLogo Home Page
NetLogo is a multi-agent programmable modeling environment. It is used by tens of thousands of students, teachers and researchers worldwide. It also powers HubNet participatory simulations. It is authored by Uri Wilensky and developed at the CCL. You can download it free of charge. What can you do with NetLogo?
NetLogo Home Page
NetLogo is a multi-agent programmable modeling environment. It is used by tens of thousands of students, teachers and researchers worldwide. It also powers HubNet participatory simulations. It is authored by Uri Wilensky and developed at the CCL. You can download it free of charge.
UCINET Software
UCINET 6 for Windows is a software package for the analysis of social network data. It was developed by Lin Freeman, Martin Everett and Steve Borgatti. It comes with the NetDraw network visualization tool. If you use the software, please cite it.
Events — ESSA Portal
The European Social Simulation Association (ESSA) promotes the development of social simulation research, education and application in Europe. Founded on a manifesto signed by many social simulation researchers in 1993, the basis of the ESSA's Constitution was formed. ESSA has become the most important hub of social simulation worldwide. By collaborating with CSSSA , the Computational Social Science Society of the Americas, and PAAA , the Pacific Asian Association for Agent-based Approach in Economic & Social Complex Systems, ESSA has promoted international initiatives to build a bridge between regional groups and associations. The objectives of ESSA are to: To become an ESSA member, please follow this link .
Twitter is closer to emulate a Neural Network than Facebook
When we think of Twitter and the innovation behind it, the first thing we all think is 140. 140 characters is without a doubt an amazing innovation that Twitter introduced which makes communication flow faster, forces twitters to summarize a piece of news or information, or an idea or an opinion and allows followers to get information or an idea faster as well. Also, after the introduction of url shorteners (tinyurl,com originally and many others later on such as bit.ly) an emergent property of Twitter came to life: the linked web. Any blog post or news article out there could be potentially linked multiple times in Twitter with quick summaries and opinions. Other emerging properties or elements in Twitter are:. Tags, early on twitters started using tags as a way to group events or themes together and follow them separately.. Curated content appeared more recently in an attempt to organize tweets in channels like mode.
Cooperation, Norms, and Revolutions: A Unified Game-Theoretical Approach
Background Cooperation is of utmost importance to society as a whole, but is often challenged by individual self-interests. While game theory has studied this problem extensively, there is little work on interactions within and across groups with different preferences or beliefs. Yet, people from different social or cultural backgrounds often meet and interact.
Philippe Boigey , Essai de modélisation de la complexité sociale des projets et étude de cas
This research is intended to model project complexity, in an effort to better control its occurrence and, subsequently, improve how complexity is handled. This work addresses a dual management objective of project oversight and performance enhancement; it has been formulated from a series of convergent observations on the limitations (both theoretical and practical) of project management within contemporary settings. The research conducted focuses on reinserting into this management context the social dynamics central to project design.
Bayesian Links
Bayes and Bayes Theorem Bayesian Calculators Links to Experiments on Bayes Theorem Experiment on the Cab Problem
Bayesian Calculator
How to use the Calculator 1. To use this program for first time, work through the following example. Suppose that 5% of people of your age and heredity have cancer.
Bayesian statistics theorem holds its own - but use with caution
(Phys.org) —In a Perspective in Science magazine this week, a Stanford Professor of Statistics re-examines Bayes' Theorem, its varying fortunes over the two-and-a-half centuries since it was proposed, and its current boom in popularity and likely future. Bayes' Theorem was proposed by Thomas Bayes in the 18th century, and it combines newly acquired data with prior data to predict an outcome. In his paper, Professor Bradley Efron of Stanford University, presents the example of predicting whether twins are likely to be fraternal or identical in his overview of the theorem. In Professor Brad Efron's example, there are two categories of data to be considered: the newly acquired data (that sonograms show a pregnant woman is carrying twin boys), and the prior data (the fact that one-third of twins are identical). Identical twins are twice as likely to produce twin boy sonograms because identical twins are always the same sex while fraternal twins have only a 50:50 chance of being the same sex.
Computerized brain made of GPUs could be the future of artificial intelligence
For decades computer scientists have been struggling to design an artificial intelligence sophisticated enough that it could pass for a living being. The fruits of that labor so far are snarky chatbots and systems that can crunch large amounts of data and spit out factoids. Google began working on a new method of replicating neural networks using 1,000 computers tied together.
Bayes' Theorem
An Intuitive Explanation of Bayes' Theorem Bayes' Theorem for the curious and bewildered; an excruciatingly gentle introduction. Your friends and colleagues are talking about something called "Bayes' Theorem" or "Bayes' Rule", or something called Bayesian reasoning. They sound really enthusiastic about it, too, so you google and find a webpage about Bayes' Theorem and... It's this equation. That's all.
