Computer Science – Artificial Intelligence
Scientific paper
2009-12-14
Computer Science
Artificial Intelligence
Graduate work done in Fall 2005 at the BORG Lab, College of Computing, Georgia Institute of Technology, under the advisement o
Scientific paper
Understanding predator-prey relationships among insects is a challenging task in the domain of insect-colony research. This is due to several factors involved, such as determining whether a particular behavior is the result of a predator-prey interaction, a friend-foe interaction or another kind of interaction. In this paper, we analyze a series of predator-prey and friend-foe interactions in two colonies of carpenter ants to better understand and predict such behavior. Using the data gathered, we have also come up with a preliminary model for predicting such behavior under the specific conditions the experiment was conducted in. In this paper, we present the results of our data analysis as well as an overview of the processes involved.
No associations
LandOfFree
A Model-Based Approach to Predicting Predator-Prey & Friend-Foe Relationships in Ant Colonies does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with A Model-Based Approach to Predicting Predator-Prey & Friend-Foe Relationships in Ant Colonies, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A Model-Based Approach to Predicting Predator-Prey & Friend-Foe Relationships in Ant Colonies will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-624055