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In nearly all videogames, creating smart and complex artificial agents helps ensure an enjoyable and challenging player experience. Using a dodgeball-inspired simulation, we attempt to train a population of robots to develop effective individual strategies against hard-coded opponents. Every evolving robot is controlled by a feedforward artificial neural network, and has a fitness function based on its hits and deaths. We evolved the robots using both standard and real-time NEAT against several teams. We hypothesized that interesting strategies would develop using both evolutionary algorithms, and fitness would increase in each trial. Initial experiments using rtNEAT did not increase fitness substantially, and after several thousand time steps the robots still exhibited mostly random movement. One exception was a defensive strategy against randomly moving enemies where individuals would specifically avoid the area near the center line. Subsequent experiments using the NEAT algorithm were more successful both visually and quantitatively: average fitness improved, and complex tactics appeared to develop in some trials, such as hiding behind the obstacle. Further research could improve our rtNEAT algorithm to match the relative effectiveness of NEAT, or use competitive coevolution to remove the need for hard-coded opponents.

Tests conducted comparing the effect exposure of Paracetamol to a laser with oven heating a sample to a temperature above its melting point, 169 degrees Celsius showed similarities. This implies that the primary cause of sample damage during Raman spectroscopy is heating. It was found that inserting a piece of glass between the sample and the microscope lens dramatically reduced the ability of the laser to damage samples. Computer models indicate that rotating a sample at 8 rotations per minute could be an effective method of limiting sample damage, and is a potential alternative to active cooling if this becomes financially and logistically viable in industry. Active sample cooling was investigated, but results proved inconclusive. This is a key area for any future research on the topic.

Lesvoorbereidingsformulier voor vakdidactiek informatica binnen de Educatieve master Wetenschappen & Technologie aan de KU Leuven. Dit is de versie voor 2021 - 2022

A template for graduate students' thesis Concordia University, Montréal, Québec, Canada

Pakiet dialogue definiuje polecenia przydatne przy składaniu dialogów. Można go wykorzystać do przygotowania zapisu sztuki lub do łatwego sformatowania dialogów na inne potrzeby (np. artykułów z zakresu językoznawstwa). Czytaj więcej na: http://pakietomat.wordpress.com/2014/05/09/dialogue/

Relatório final de Trabalho de Conclusão de Curso

In this journal, I will discuss modern day environmental exploitation as it relates to native americans. In my research, I found no shortage of opposition to the dangers of natural resource extraction on tribal lands. While tribes remain sovereign nations, the overarching authority and loopholes of federal and state governments force many indigenous people to remain vulnerable to the violences of capitalism. Against all odds, native individuals and organizations throughout the country, and globe, meet these offenses with fervent opposition. Here, I will explore the tactics and victories of Indigenous North Americans.

Lab Report

Pakiet zawiera makroinstrukcje do składania adresów internetowych. Czytaj więcej na: http://pakietomat.wordpress.com/2014/05/07/url/