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Full-Text Articles in Physical Sciences and Mathematics
Unsupervised Machine Learning In Agent-Based Modeling, Luke D. Robinson
Unsupervised Machine Learning In Agent-Based Modeling, Luke D. Robinson
Celebration of Learning
Agent-based models (ABMs) are used by researchers in a variety of fields to model natural phenomena. In an ABM, a wide range of behaviors and outcomes can be observed based on the parameters of the model. In many cases, these behaviors can be categorized into discrete outcomes identifiable by human observers. Our goal was to use clustering algorithms to identify those outcomes from model output data. For this project, we used data from the NetLogo Wolf Sheep Predation model to explore and evaluate three clustering algorithms from Python's scikit-learn package. If this task can be completed reliably by a computer, …
Migrating Behavior Search’S User Interface From Swing To Javafx, An Nguyen Dang
Migrating Behavior Search’S User Interface From Swing To Javafx, An Nguyen Dang
Celebration of Learning
Agent-based models (ABMs) is a genre of computer modeling that simulates actions and interactions between individual entities (agents). ABM is widely used to simulate behavior in many fields, including biology, ecology, chemistry, physics, economics, and social science. NetLogo is a well-known agent-based programming language that provides a powerful platform to build and examine ABMs. However, to fully analyze a model one must run the model many times with different parameters, which can be a very daunting task. Therefore, Dr. Forrest Stonedahl developed BehaviorSearch, a software tool to help with automating the exploration of ABMs. The software interfaces with the NetLogo …
Investigating Trust And Trust Recovery In Human-Robot Interactions, Abigail L. Thomson
Investigating Trust And Trust Recovery In Human-Robot Interactions, Abigail L. Thomson
Celebration of Learning
As artificial intelligence and robotics continue to advance and be used in increasingly different functions and situations, it is important to look at how these new technologies will be used. An important factor in how a new resource will be used is how much it is trusted. This experiment was conducted to examine people’s trust in a robotic assistant when completing a task, how mistakes affect this trust, and if the levels of trust exhibited with a robot assistant were significantly different than if the assistant were human. The task was to watch a computer simulation of the three-cup monte …