DocumentCode
173100
Title
Emergence of altruism behavior for multi feeding areas in army ant social evolutionary system
Author
Ichimura, T. ; Uemoto, Takuya ; Hara, Akira
Author_Institution
Dept. of Manage. & Syst., Prefecture Univ. of Hiroshima, Hiroshima, Japan
fYear
2014
fDate
5-8 Oct. 2014
Firstpage
170
Lastpage
175
Abstract
Army ants perform the altruism that an ant sacrifices its own well-being for the benefit of another ants. Army ants build bridges using their own bodies along the path from a food to the nest. We developed the army ant inspired social evolutionary system which can perform the altruism. The system has 2 kinds of ant agents, `Major ant´ and `Minor ant´ and the ants communicate with each other via pheromones. One ants can recognize them as the signals from the other ants. The pheromones evaporate with the certain ratio and diffused into the space of neighbors stochastically. If the optimal bridge is found, the path through the bridge is the shortest route from foods to the nest. We define the probability for an ant to leave a bridge at a low occupancy condition of ants and propose the constructing method of the optimal route. In this paper, the behaviors of ant under the environment with two or more feeding spots are observed. Some experimental results show the behaviors of great interest with respect to altruism of ants. The description in some computer simulation is reported in this paper.
Keywords
evolutionary computation; multi-agent systems; probability; altruism behavior; army ant inspired social evolutionary system; army ant social evolutionary system; computer simulation; feeding spots; major ant; minor ant; multifeeding areas; optimal bridge; pheromones; probability; Bridges; Educational institutions; Feeds; Legged locomotion; Libraries; Object oriented modeling; Simulation; Altruism Behavior; Army Ants; Evolutionary Simulation; Multi Agent System; Swarm library;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics (SMC), 2014 IEEE International Conference on
Conference_Location
San Diego, CA
Type
conf
DOI
10.1109/SMC.2014.6973902
Filename
6973902
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