Paper Info
Title
Exploration of the effect of uncertainty in homogeneous and heterogeneous multi-agent societies with regard to their average characteristics.
Abstract
In electrical engineering, the deviation from average values of a signal is viewed as noise to the useful measurement. In human societies, however, the diversity of the exhibited characteristics are a sign of individuality and personal worth. We investigate the effect of uncertainty variables in the environment on multi-agent societies (MAS) and the consequences of the deviation, from the average features of the modeled agents. We show the performance of heterogeneous MAS of agents in comparison to morphologically identical homogeneous systems, preserving the same average physical and sensory abilities for the system as a whole, in a dynamic environment. We are employing a form of the predator-prey pursuit problem in attempt to measure the different performance of homogeneous MAS with average parameters and its heterogeneous counterpart. The effects of uncertainty in our work is investigated from the viewpoint of (i) employing a limited number of initial situations to evolve the team of predator agents, (ii) generality to unforeseen initial situations, and (iii) robustness to perception noise. Key statistics are the efficiency of evolution of the successful behavior of predator agents, effectiveness of their behavior and its degradation because of newly introduced situation or noise. Preliminary results indicate that a heterogeneous system can be at least as good as its homogeneous average equivalent, in solution quality at the expense of the runtime of evolution.
Year
Venue
Field
2018
GECCO (Companion)
Mathematical optimization,Homogeneous,Computer science,Robustness (computer science),Genetic programming,Multi-agent system,Perception,Generality
DocType
ISBN
Citations 
Conference
978-1-4503-5764-7
0
PageRank 
References 
Authors
0.34
5
3
Name
Order
Citations
PageRank
Milen Georgiev101.35
Ivan Tanev227846.51
K. Shimohara3235.56