Worse than Japan? Maybe our reaction David Weidner's Writing on the Wall. By David Weidner, MarketWatch NEW YORK (MarketWatch) — Maybe the most distasteful example of our ability to withstand the combined shocks of Middle East revolutions, global hunger problems and the unfolding tragedy in Japan came in the form of bad comparisons. There was Larry Kudlow of CNBC suggesting Friday that we should be grateful that the human toll of the earthquake and tsunami hitting Japan was much worse than the economic toll.
Watch a video of Kudlow’s remarks on Japan . Fuel rods at Daiichi plant exposed As the death toll rises, a potential nuclear disaster looms as fuel rods at the Fukushima Daiichi plant become fully exposed. There was Lawrence McDonald, the former Lehman Brothers vice president who wrote an insider account of the firm’s demise, who blogged a piece under the insensitive headline “Japanese earthquake is tragic; debt tsunami coming is worse.” /conga/story/2011/03/japan_earthquake.html136226 watch video on how food prices will benefit U.S. economy . Reuters Market Cap. Next Economy @fer_ananda. Agent-based social simulation. Agent-based social simulation (or ABSS) (Li et al. 2008) (Davidsson 2002) consists of social simulations that are based on Agent-based modeling, and implemented using artificial agent technologies.
Agent-based social simulation is scientific discipline concerned with simulation of social phenomenes, using computer-based multiagent models. In these simulations, persons or group of persons are represented by agents. MABSS is combination of Social science, Multiagent simulation and Computer simulation. ABSS models the different elements of the social systems using artificial agents, (varying on scale) and placing them in a computer simulated society to observe the behaviors of the agents. From this data it is possible to learn about the reactions of the artificial agents and translate them into the results of non-artificial agents and simulations. Principles of multiagent based social simulation[edit] Multi-Agent System[edit] History of ABSS[edit] Sugarscape[edit] Prediction[edit] Notes[edit] Decentralised system. Graphical comparison of a centralised and a decentralised system A decentralised system in systems theory is a system in which lower level components operate on local information to accomplish global goals.
The global pattern of behaviour is an emergent property of dynamical mechanisms that act upon local components, such as indirect communication, rather than the result of a central ordering influence (see centralised system). Centralised versus decentralised systems[edit] A centralised system is one in which a central controller exercises control over the lower-level components of the system directly or through the use of a power hierarchy (such as instructing a middle level component to instruct a lower level component).[1] The complex behaviour exhibited by this system is thus the result of the central controller's "control" over lower level components in the system, including the active supervision of the lower level components.
Self-organisation[edit] Biological: Insect colonies[edit] Sugarscape - Growing Agent-based Artificial Societies. To run the Sugarscape applet you need to: 1a) Download and install the Java 2 SDK with "AppletViewer.exe" (this is something that would be available on your system if you do some Java programming yourself. Make sure the CLASSPATH variables are set correctly and that the Java directory is included in your PATH system variable. 1b) Internet Explorer 5.x or greater AND the Java 2 Runtime Environment(JRE), which is freely available from Sun at the following website: Alternatively you can manually download & install the latest Java Runtime(JRE) from: < If you feel you already have the latest Java Runtime(JRE), try loading this page: < The page should display the message, "Congratulations. 2a) Download and uncompress the Sugarscape source (Linklist version) available at ...Unzip it on your computer. Sugarscape. Sugarscape is a model artificially intelligent agent-based social simulation following some or all rules presented by Joshua M.
Epstein & Robert Axtell in their book Growing Artificial Societies.[1] Origin[edit] Fundaments of Sugarscape models can be traced back to the University of Maryland where economist Thomas Schelling presented his paper titled Models of Segregation.[2] Written in 1969, Schelling and the rest of the social environment modelling fraternity had their options limited by a lack of adequate computing power and an applicable programming mechanism to fully develop the potential of their model. John Conway's agent-based simulation "Game of Life" was enhanced and applied to Schelling's original idea by Joshua M. Epstein and Robert Axtell in their book Growing Artificial Societies. To demonstrate their findings on the field of agent-based simulation, a model was created and distributed with their book on CD-ROM. Principles[edit] The original model presented by J. Ascape[edit] Pareto principle.
The Pareto Principle asserts that only a "vital few" peapods produce the majority of peas. The Pareto principle (also known as the 80/20 rule, the law of the vital few, or the principle of factor sparsity)[1][2] states that, for many events, roughly 80% of the effects come from 20% of the causes.[3] Management consultant Joseph M. Juran suggested the principle and named it after Italian economist Vilfredo Pareto, who noted the 80/20 connection while at the University of Lausanne in 1896, as published in his first work, Cours d'économie politique. Essentially, Pareto showed that approximately 80% of the land in Italy was owned by 20% of the population. It is an axiom of business management that "80% of sales come from 20% of clients".[4] Richard Koch authored the book, The 80/20 Principle, which illustrated some practical applications of the Pareto principle in business management and life.[5] The Pareto principle is only tangentially related to Pareto efficiency.
In economics[edit]