Global ETD Search

1	Actual Entities: A Control Method for Unmanned Aerial Vehicles Absetz, Erica 25 April 2013 (has links) The focus of this thesis is on Actual Entities, a concept created by the philosopher Alfred North Whitehead, and how the concept can be applied to Unmanned Aerial Vehicles as a behavioral control method. Actual Entities are vector based, atomic units that use a method called prehension to observe their environment and react with various actions. When combining multiple Actual Entities a Colony of Prehending Entities is created; when observing their prehensions an intelligent behavior emerges. By applying the characteristics of Actual Entities to Unmanned Aerial Vehicles, specifically in a situation where they are searching for targets, this emergent, intelligent behavior can be seen as they search a designated area and locate specified targets. They will alter their movements based on the prehensions of the environment, surrounding Unmanned Aerial Vehicles, and targets. Actual Entities Swarm Intelligence Artificial Intelligence Swarm Theory UAV Control Method Unmanned Aerial Vehicles Philosophy Alfred North Whitehead Computer Sciences Physical Sciences and Mathematics
2	Using Ant Colonization Optimization to Control Difficulty in Video Game AI. Courtney, Joshua 01 May 2010 (has links) Ant colony optimization (ACO) is an algorithm which simulates ant foraging behavior. When ants search for food they leave pheromone trails to tell other ants which paths to take to find food. ACO has been adapted to many different problems in computer science: mainly variations on shortest path algorithms for graphs and networks. ACO can be adapted to work as a form of communication between separate agents in a video game AI. By controlling the effectiveness of this communication, the difficulty of the game should be able to be controlled. Experimentation has shown that ACO works effectively as a form of communication between agents and supports that ACO is an effective form of difficulty control. However, further experimentation is needed to definitively show that ACO is effective at controlling difficulty and to show that it will also work in a large scale system. AI Artificial Intelligence ACO Ant Colonization Optimization Swarm Theory Swarm Intelligence Video Game Game AI Pheromone Game Programming Difficulty Computer Sciences Physical Sciences and Mathematics Software Engineering

Search results

Actual Entities: A Control Method for Unmanned Aerial Vehicles

Using Ant Colonization Optimization to Control Difficulty in Video Game AI.