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| Content Provider | ACM Digital Library |
|---|---|
| Author | Elhamer, Zineb Meftah, Boudjelal |
| Abstract | For Artificial Intelligence, nature is offering abundant sources of inspiration in the form of collective behaviours, performed by myriads of living creatures, ranging from the microscopic bacteria, to the macroscopic herds of mammals, schools of fish and bird flocks, not to mention social insects, from which the newly established field of Swarm Intelligence borrows it's name. Decentralized animal collectives rely in their decision-making mechanisms on self-organizing principles which they have their applications into the control and optimization mechanisms in Computer Science; They foster the design of newly robust and adaptive optimization and coordination algorithms of multi-agent systems. The goal of this work is to investigate a self-organising behaviour attributed to cockroaches, called aggregation and ascertain through computer simulations whether aggregation can lead the group of cockroaches to collectively choose a shelter among more than two shelters. Garnier et al. [7] had carried a similar work with two aggregation shelters only. In this paper, we investigate the aggregation behaviour based on the hybrid model and ascertain through simulations whether it can lead the group of cockroaches to collectively choose a shelter among more than two shelters. Simulations are based on a hybrid model of two previously and separately devised self-organizing models, which are: Jeanson et al.[2] behavioural model that describes the individual behaviours of cockroaches in a stochastic framework and Couzin et al.[4] model on animal's movements in a three-dimensional space. |
| Starting Page | 39 |
| Ending Page | 43 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781450348768 |
| DOI | 10.1145/3038884.3038891 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2016-11-22 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Aggregation Self-organisation Collective decision-making Collective intelligence Decentralised control Swarm intelligence |
| Content Type | Text |
| Resource Type | Article |
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