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Financial Bailout

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.

Worse than Japan? Maybe our reaction David Weidner's Writing on the Wall

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 . 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

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. Decentralised system. A decentralized system in systems theory is a system in which lower level components operate on local information to accomplish global goals.

Decentralised system

The global pattern of behavior 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 centralized system). Centralized versus Decentralized Systems[edit] A centralized 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 behavior 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. 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.

Sugarscape - Growing Agent-based Artificial Societies

Make sure the CLASSPATH variables are set correctly and that the Java directory is included in your PATH system variable. Sugarscape. Sugarscape is a model artificially intelligent agent-based social simulation following some or all rules presented by Joshua M.

Sugarscape

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. Pareto principle. The Pareto principle (also known as the 80–20 rule, the law of the vital few, and the principle of factor sparsity) states that, for many events, roughly 80% of the effects come from 20% of the causes.[1] Management consultant Joseph M.

Pareto principle

Juran suggested the principle and named it after Italian economist Vilfredo Pareto, who observed in 1906 that 80% of the land in Italy was owned by 20% of the population; Pareto developed the principle by observing that 20% of the pea pods in his garden contained 80% of the peas[citation needed]. It is a common rule of thumb in business; e.g., "80% of your sales come from 20% of your clients".