With increasing computational power and more elaborate software comes greater opportunities to complement traditional research methods with alternative methods. In this paper we argue for why the area of two-sided markets could benefit from this alternative approach and attempt to implement a theoretical model in an agent-based framework. By first replicating the theoretical findings in this framework we expand the model in increments in different directions through introducing different set of heterogeneity and behavioral limitations on our actors to see how the theoretical model develops. Only changing the model in increments found the analytical outcome to be robust for many of our changes, in this regard we have not managed to successfully take advantage of the full potential of the agent-based framework.

Urbanisation is driven by the complex interactions of many physical and human factors where human actions and decisions, individually and collectively, ultimately shape the patterns of urban landscapes. Agentbased modelling is an emerging technique in land use science that is designed to study multiple heterogeneous and locally interacting active entities within a system. An example of a local interaction is the request made by residents to planners for building permits. The decisions of planners in response to this request leads to emergent properties at an aggregate level such as city growth, assuming no equilibrium conditions. This thesis develops a framework for investigating in space and in time future residential land use change over a polycentric region using a case study of East Anglia, UK. Conceptually, the framework views the complexity of housing development in a system of cities (macrogeographical level) as the visible and concrete outcome of interactions between household demand for new dwellings (micro-geographical level) and the supply of building permits by local planners (meso-geographical level). Demand and supply are driven by household location preferences, as well as local planning, and evolve over time, leading to future land use change at speci c locations. The IPCC socio-economic scenarios are adapted to describe plausible evolutions in these preferences and strategies in order to evaluate di erent urban land use change pathways and the associated potential consequences for people (e.g. ooding risks) and the environment (e.g. biodiversity loss from land fragmentation). Simulation of new housing scenarios is undertaken within the agent-based modelling paradigm using a new computer programme developed in NetLogo. Issues of sensitivity analysis, validation, calibration and system complexity are addressed throughout the thesis. The thesis contributes to the eld of landscape and urban ecology by exploring urban complexity with a spatio-dynamic model of residential location behaviour driven by human and natural variables. As land use and land cover change is known to strongly a ect ecological landscape functions and processes, understanding the relationships between social and natural systems within changing landscapes helps to highlight hotspots of potential pressure and their e ects on the natural environment as part of an assessment of the possible ecological impacts of new urban development.

No description available.

The topic of this work is the software NetLogo used with the model Retail Opportunity Sim. This computer model is applied to the region Třešťsko. The goal of this work is to calibrate the Retail Opportunity Sim model and to find out, which problems and complication are connected with using of this software on so small region as Třešťsko.

In recent history there has been a steady increase in container traffic worldwide. As a result modern western Container Terminal ports are turning towards automation to raise their productivity, capacity and reliability. Automated Guided Vehicles (AGVs) are among the most commonly used solutions for horizontal transport within a container terminal. A more recent development in the automated container handling is the use of cassette based or C-AGVs. The latest generation of which provides a zero emission, all electric solution through the use of induction recharge points in the terminal area. The Multi-Agent System (MAS) based simulation model provides a method for evaluating dispatching strategies for this newest generation of C-AGVs. The location and number of recharge points, cassettes, yard and quay cranes as well as the paths containers have to travel are all included in the model. The NetLogo based simulator will be used to compare existing dispatching strategies, modified versions of them, or develop and test new ones. The simulator will also simulate different scenarios, which are described in the later chapters, and can thus be used to determine the best configuration and investment plan in a highly complex domain like a Container Terminal. / s_aliowais@hotmail.com, jan.milants@kahosl.be 0046735781720 ; 003252213865

Social media is a big part of today’s society. But how do we know where the information we put out on the internet end up? This bachelor thesis is part of a bigger project where first year students at the cognitive science program at Linköping University will be taught about modeling of a social phenomenon. A lot can be learned about a phenomenon through modeling and simulation and that was the motivation for this bachelor thesis – to try to make a simulation of the spreading of information on social media. The social media platform that was selected was Twitter and the information spreading was narrowed down to retweeting of a tweet. The simulation was implemented in NetLogo – a modeling and simulation program. The simulation was based on important factors that contribute to a person’s willingness to retweet. The factors were found in published research reports. The result was a simulation of retweeting on Twitter that in some aspects resemble the real world phenomenon as it is depicted in published research reports. Towards the end of the report there is a discussion about what factors contributed to the resemblance or the difference between the world depicted in the published research reports and the simulation.

The thesis deals with the task of refining the constructional and operational parameters of a tubular photobioreactor in order to maximise the growth rate of algae contained in the cultivation suspension. It builds on a basic growth model of the Porhydrium sp. alga, and focuses on the optimization of external irradiance, which is one of the key determinants of algae growth. Two distinct methodological approaches are applied: analytic approach, which employs Markov Chains, and simulation approach, which relies on agent-based simulations. In the analytic part, we introduce the construction of state transition matrix for a Markov Chain that accounts for varying irradiance inside the photobioreactor (in contrast to constant-irradiance methods that have been published so far). In the simulation part, we devised an agent-based model of algae population that enables us to analyze the system behaviour while interactively changing the model parameters. In the context of the results from both the analytic and simulation part, we conclude by suggesting the optimal level of external irradiance.

This thesis deals with a design of a model of financial decision making in humans with limited cognitive resources under conditions of poverty, subsequent creation of a computer simulation based on this model, finding parameters in which this model generates a behavior close to real data and testing the behavior of the model under different conditions. The created model is based on current findings in fields of psychology and economics regarding decision making, limited cognitive resources and impact of poverty on cognitive resources and decision making. The model is created using the system dynamics methodology and subsequently, with the use of UML language, implemented into a computer simulation in programmable environment NetLogo. Testing the model showed its ability to generate a behavior close to real data and thus its potential to be used as a model for studying and understanding of the dealt problem and experimenting in order to finding new ways of dealing with the problem of poverty.

The diploma thesis describes design and creation of agent-based model of cooperative games and its subsequent analysis. The created model combines assumptions of game the-ory with other findings; it examines the dynamics of coalition formation and the influence of external and internal factors on this formation. The first theoretical part introduces the game theory and clarifies basic principles and con-cepts of N - player cooperative games. It evaluates the benefits and disadvantages of solu-tions introduced by this theory. The thesis further deals with multi-agent systems focused on agent-based models as an analytical and computational method for analyzing complex systems. There are also explained basic principles of agent-based modeling, including ap-proaches of their creation. Furthermore, there are presented distinctions between different types of agents, environments and models. The second practical part specifies assumptions and principles that are essential for the created multi-agent model. The diploma thesis describes the development of agent-based model of cooperative games by itself, including its characteristics and behavior. Final analysis of the created model clarifies impact of individual variables on the coalition for-mation process and confirms its ability to investigate given area.

Our model considers a new element in forest fire modeling, namely the dynamics of a forest animal, intimately linked to the trees. We show that animals and trees react differently to different types of fire. A high probability of fire initiation results in several small fires, which do not allow for a large fuel accumulation and thus the destruction of many trees by fire, but is found to be generally devastating to the animal population at the same time. On the other hand, a low fire initiation probability allows for the accumulation of higher quantities of fuel, which in turn results in larger fires, more devastating to the trees than to the animals. Thus, we suggest that optimal fire management should take into account the relation between fire initiation and its different effects on animals and trees. Further, wildfires are often considered as prime examples for power-law-like frequency distributions, yet there is no agreement on the mechanisms responsible for the observed patterns. Our model suggests that instead of a single unified distribution, a superposition of at least two different distributions can be detected and this suggests multiform mechanisms acting on different scales. None of the discovered distributions are compatible with the power-law hypothesis.