Assignments WS 2012/2013

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War of the Elves

I would like to simulate a war between two kinds of Elves - The Black Race and the White Race. Every army has these kinds of soldiers:

  • a warrior - armed with a sword, health 10, strength 5
  • an archer - armed with a bow, health 5, strength 10
  • a wizard - no weapon but can cast a spell for healing any injured warrior or archer on his side, health 10, strength 1

The screen will be splitted to 2 parts. Each part of the screen has the army and soldiers of the army are going to the center of the screen. When they meet the soldier of the other army they will fight. The result of the fight is a random number multiplied by strength and health of each soldier. In every turn, wizard of each side will heal random soldier who is injured. The wizard can be killed by enemy soldier.

At the end only one side can win the battle. Using switches we can set a number of soldier's kind for each side. For example we can set 5 wizards, 10 warriors and 10 archers for The White Race and 1 wizard, 20 warriors and 20 archers for The Black Race.

So what do you think?

Jirihradil 20:09, 3 December 2012 (CET)

Hive

author

--Adam Sedláček (xseda07) 12:09, 30 November 2012 (CET)

As is known, the hive is a community that is very complex and is influenced by both internal and external factors. Therefore, I propose to create a simulation that would examine the influence of internal and external circumstances which influence the hive and the ecosystem in which they live. Especially I mean these factors:

  • Number and distance of flowers and fruit trees to pollinate
  • number of workers and drones in the hive
  • how early beginning / end of summer / winter affect stocks of honey and colony survival
  • how number of workers affect pollination of trees/ flowers and therefore the number of flowers and trees in neighbourhood

How it will work

Workers are responsible for getting food for whole hive and also for pollination of trees and flowers. They are using sun for the orientation and they communicate between themselves. In the beehive there ale drones, which fertilizes Bee´s queen, bee´s queen, which oviposits and the eggs-larvas, which are later transformed to either workers or drones.

Trees/flowers need to be pollinated in order to proliferate. There will be also change of season and different hive behaviour during summer/winter

Method I will use NetLogo to simulate the Hive

OK, sounds interesting. Accepted. Please, identify yourself. Tomáš 22:49, 29 November 2012 (CET)
I am sorry. --Adam Sedláček (xseda07) 12:09, 30 November 2012 (CET)

To vote or not to vote?

author

--Riccardo Torchio) 15:53, 3/12/2012 (CET)

I want to design a simulation that can show us how people decide if to go to vote or not.

I will create agent with -proximity to a person that can influence the agent -willingness to go to vote -expected result of the vote I can take my conclusion about the threshold value of this 3 variables in this process.

Method i will use NetLogo to simulate the process

Enter the market or not?

I was thinking about a firms competition simulation. A first firm decides to enter the market or not and depending on the choice, the firm already in the market decides to fight or to accommodate the new firm. For example, I could take the example of fast-food in Belgium: the burger king chain could be trying to enter the market and thus the McDonald's chain already present could decide of its behavior.

Wagon Antoine Qantw00 22:10, 3 December 2012 (CET)


Disease

author --Pilar 10:57, 4 December 2012 (CET)

Subject of simulation

I would like to simulate spread of a disease which would take incubation period (i.e. person is acting as carrier of the disease but doesn't have any symptoms) and immunity into account as suggested in Modelování a siulace komplexních systémů by Radek Pelánek. The simulation will be based on SIRS model of diseases with constant population (simulating period of weeks or months and non-lethal diseases).

Objectives

To determine influence of relative length of incubation period, duration of disease and duration of immunity on the dynamics of the disease in given population - will any patterns develop, when do more or less people become ill, can the disease die out in given population?

Method

MAS with random contact of agents.