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Ecological Niching In An Interactive Simulation, Ryan T. Webb
Ecological Niching In An Interactive Simulation, Ryan T. Webb
Honors Theses
Our goal is to create a simulation platform for the study of ecological niching that can be extended to suit the needs of biological research. Ecological niching and the accompanying evolutionary process of speciation are difficult to observe in situ, which makes them prime candidates for study via the methods of computer simulation. To this end, we have created an interactive, real-time ecosystem simulation based on the standard predator/prey interaction model, in which interacting populations of organisms exhibit swarming behavior. We hope to provide the basic simulation components necessary to bring about niching and speciation, that may be extended for …
On The Automatic Generation Of Network Protocol Simulators, Andrew Chen
On The Automatic Generation Of Network Protocol Simulators, Andrew Chen
Honors Theses
Computers communicate with each other over various communication networks via a language known as a protocol. The design of the protocol can have a significant impact on the efficiency (and effectiveness) of the network. Because building an actual network to test the performance (and reliability) of a new protocol is rather expensive and time consuming, there is an interest in simulating network protocols in order to determine how efficient the communication network is. We are therefore interested in automatically generating simulators that could measure the performance of the new protocols. There are two main parts to this project. The first …
Temporal Flocking And Cacophony Simulating Agent Communication In A Noisy Environment, Jessica R. Crawford
Temporal Flocking And Cacophony Simulating Agent Communication In A Noisy Environment, Jessica R. Crawford
Honors Theses
Realistic communication is one of the most difficult aspects of simulating group behavior because the patterns produced by group communication are complex and not easily definable. In this paper, we present a model, developed using artificial life methodology, for creating simulations of group communication. Our model employs autonomous, artificial agents to produce emergent group behavior that resembles the communication patterns of a group, specifically, a flock of birds. Each agent collects information about its environment and its neighbors and follows a set of rules designed to meet both group goals and individual agent goals. Because we seek to establish emergent …