Title : 
Geometric foraging strategies in multi-agent systems based on biological models
         
        
            Author : 
Haque, Musad ; Rahmani, Amir ; Egerstedt, Magnus
         
        
            Author_Institution : 
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
         
        
        
        
        
        
            Abstract : 
In nature, communal hunting is often performed by predators by charging through an aggregation of prey. However, it has been noticed that variations exist in the geometric shape of the charging front; in addition, distinct differences arise between the shapes depending on the particulars of the feeding strategy. For example, each member of a dolphin foraging group must contribute to the hunt and will only be able to eat what it catches. On the other hand, some lions earn a “free lunch” by feigning help and later feasting on the prey caught by the more skilled hunters in the foraging group. We model the charging front of the predators as a curve moving through a prey density modeled as a reaction-diffusion process and we optimize the shape of the charging front in both the free lunch and no-free-lunch cases. These different situations are simulated under a number of varied types of predator-prey interaction models, and connections are made to multi-agent robot systems.
         
        
            Keywords : 
multi-agent systems; multi-robot systems; predator-prey systems; biological model; dolphin foraging; geometric foraging strategy; multi agent robot system; prey density model; reaction diffusion process; Biological system modeling; Diffusion processes; Dolphins; Mathematical model; Robots; Shape;
         
        
        
        
            Conference_Titel : 
Decision and Control (CDC), 2010 49th IEEE Conference on
         
        
            Conference_Location : 
Atlanta, GA
         
        
        
            Print_ISBN : 
978-1-4244-7745-6
         
        
        
            DOI : 
10.1109/CDC.2010.5717805