Titlebook: Simulating Social Complexity; A Handbook Bruce Edmonds,Ruth Meyer Book 2017Latest edition Springer International Publishing AG 2017 agent-b

Enteropathic

Understanding Simulation Resultsing these results is often a significant challenge for the researcher. Within this chapter we examine particular issues such as finding important patterns and interpreting what they mean in terms of causality. We also discuss some of the problems with using model results to enhance our understanding

土产

How Many Times Should One Run a Computational Simulation?istical analysis. After defining the nature of the problem and which types of simulation are mostly affected by it, the article introduces statistical power analysis as a way to determine the appropriate number of runs. Two examples are then produced using results from an agent-based model. The read

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BRUNT

Combining Mathematical and Simulation Approaches to Understand the Dynamics of Computer Modelsose, we show that it is useful to see the computer model as a particular implementation of a formal model in a certain programming language. This formal model is the abstract entity which is defined by the input–output relation that the computer model executes and can be seen as a function that tran

BILK

Interpreting and Understanding Simulations: The Philosophy of Social SimulationAmong social scientists, this question generally falls under the topic of .. Sociological theorists and philosophers of science have developed sophisticated approaches to emergence, including the critical question: to what extent can emergent phenomena be reduced to explanations in terms of their co

anarchist

Documenting Social Simulation Models: The ODD Protocol as a Standard to follow minimum standards. The ‘overview, design concepts, and details’ document protocol (ODD) is specifically designed to guide the description of individual- and agent-based simulation models (ABMs) in journal articles. Popular among ecologists, it is also increasingly used in the social simul

Assignment

Utility, Games and Narrativesllective decision-making, i.e. Game Theory, are discussed in detail. The most important exemplary games are presented, including the Prisoner’s Dilemma, the Game of Chicken and the Minority Game, also known as the El Farol Bar Problem. After discussing the paradoxes and pitfalls of utility maximizat

PRE

Different Modelling Purposeshe intended purpose might fail. In particular, it looks at the ways that a confusion of modelling purposes can fatally weaken modelling projects, whilst giving a false sense of their quality. This analysis motivates some of the ways in which these ‘dangers’ might be avoided or mitigated.

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Types of Simulationnds of system that might be simulated. Shifting to the modelling process, it looks at the role of the individuals within the simulations, the interactions between individuals, and the environment that they are embedded within. It then discusses the factors to consider in choosing a kind of model and some of the approaches to implementing it.

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What Software Engineering Has to Offer to Agent-Based Social Simulationarts: the first gives an overview of which tools developed in software engineering can be and have been adapted to agent-based social simulation; the second part demonstrates with the help of an informative example how some of these tools can be combined into an overall structured approach to model development.