scholarly journals Nest Entrances, Spatial Fidelity, and Foraging Patterns in the Red Ant Myrmica rubra: A Field and Theoretical Study

Insects ◽  
2020 ◽  
Vol 11 (5) ◽  
pp. 317 ◽  
Author(s):  
Marine Lehue ◽  
Claire Detrain ◽  
Bertrand Collignon
Keyword(s):  
Spatial Distribution ◽  
Social Insects ◽  
Theoretical Study ◽  
High Fidelity ◽  
Nest Architecture ◽  
Myrmica Rubra ◽  
Foraging Patterns ◽  
Ant Colonies ◽  
Agent Model ◽  
Multi Agent

The nest architecture of social insects deeply impacts the spatial distribution of nestmates their interactions, information exchanges and collective responses. In particular, the number of nest entrances can influence the interactions taking place beyond the nest boundaries and the emergence of collective structures like foraging trails. Here, we investigated in the field how the number of nest entrances impacted the foraging dynamics of Myrmica rubra ant colonies. We located the nest entrances where recruitment occurred towards sugar feeders placed in their surroundings. The nests showed one or multiple entrance(s) aggregated in clusters spaced by at least 15 cm. Foragers from colonies with two clusters of entrances were distributed more homogeneously among the feeders than those of colonies with one cluster. In addition, foragers always returned to the first discovered feeder and demonstrated a high fidelity to their original entrance. Finally, a multi-agent model highlighted that additional entrances and clusters of entrances delayed the mobilisation of workers but favoured the simultaneous exploitation of several sources, which was further enhanced by the spatial fidelity of foragers. Multiple nest entrances seem to be a way for medium-sized colonies to benefit from advantages conferred by polydomy while avoiding associated costs to maintain social cohesion.

Research on multi-agent model based on track methodology of ontology building

2009 ◽  
Vol 29 (2) ◽  
pp. 412-415
Author(s):  
Qiang LU ◽  
Ming CHEN ◽  
Zhi-guang WANG
Keyword(s):  
Agent Model ◽  
Model Based ◽  
Multi Agent ◽  
Ontology Building

scholarly journals A Novel Multi-Agent Model for Robustness with Component Failure and Malware Propagation in Wireless Sensor Networks

Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4873
Author(s):  
Biao Xu ◽  
Minyan Lu ◽  
Hong Zhang ◽  
Cong Pan
Keyword(s):  
Wireless Sensor ◽  
Component Reliability ◽  
Agent Based ◽  
Agent Model ◽  
Cross Domain ◽  
Malware Propagation ◽  
Network Topologies ◽  
Multi Agent ◽  
Agent Characteristics ◽  
Information Domain

A wireless sensor network (WSN) is a group of sensors connected with a wireless communications infrastructure designed to monitor and send collected data to the primary server. The WSN is the cornerstone of the Internet of Things (IoT) and Industry 4.0. Robustness is an essential characteristic of WSN that enables reliable functionalities to end customers. However, existing approaches primarily focus on component reliability and malware propagation, while the robustness and security of cascading failures between the physical domain and the information domain are usually ignored. This paper proposes a cross-domain agent-based model to analyze the connectivity robustness of a system in the malware propagation process. The agent characteristics and transition rules are also described in detail. To verify the practicality of the model, three scenarios based on different network topologies are proposed. Finally, the robustness of the scenarios and the topologies are discussed.

A Simulation Approach for Analyzing MAS Model of SIS

2012 ◽  
Vol 468-471 ◽  
pp. 173-180
Author(s):  
Yi Ning Song ◽  
Zhi Li
Keyword(s):  
Information System ◽  
Modeling And Simulation ◽  
Longitudinal Analysis ◽  
Satellite System ◽  
Model Structure ◽  
Multi Agent System ◽  
Simulation Approach ◽  
Agent System ◽  
Agent Model ◽  
Multi Agent

The purpose of this paper is to explore the effective approach of Multi-Agent system(MAS) modeling and simulation. A detailed study of modeling and simulation of Space Information System has been carried out by combining controlled and intelligent requirements. To begin with we will provide a brief background on the Multi-Agent System concept and structure. Furthermore, grasp the model structure through vertical and longitudinal analysis with the consideration of emergence and collaboration. In addition, we described the Multi-agent model for Space Information System(SIS). Finally, algorithms of realizing the collaboration structures of the communication satellite system that presented in this paper were described.

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