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Automated experimentation in ecological networks.

Lurgi M, Robertson D - Autom Exp (2011)

Bottom Line: Interaction models for agents coordination thus engineered facilitate the emergence of network features such as those found in ecological networks of interacting species, in our artificial societies of agents.Agent based models developed in this way facilitate the automation of the design an execution of simulation experiments that allow for the exploration of diverse behavioural mechanisms believed to be responsible for community organisation in ecological communities.This automated way of conducting experiments empowers the study of ecological networks by exploiting the expressive power of interaction models specification in agent systems.

View Article: PubMed Central - HTML - PubMed

Affiliation: School of Informatics, University of Edinburgh, 10 Crichton Street, Edinburgh, UK. miguel.lurgi@ed.ac.uk.

ABSTRACT

Background: In ecological networks, natural communities are studied from a complex systems perspective by representing interactions among species within them in the form of a graph, which is in turn analysed using mathematical tools. Topological features encountered in complex networks have been proved to provide the systems they represent with interesting attributes such as robustness and stability, which in ecological systems translates into the ability of communities to resist perturbations of different kinds. A focus of research in community ecology is on understanding the mechanisms by which these complex networks of interactions among species in a community arise. We employ an agent-based approach to model ecological processes operating at the species' interaction level for the study of the emergence of organisation in ecological networks.

Results: We have designed protocols of interaction among agents in a multi-agent system based on ecological processes occurring at the interaction level between species in plant-animal mutualistic communities. Interaction models for agents coordination thus engineered facilitate the emergence of network features such as those found in ecological networks of interacting species, in our artificial societies of agents.

Conclusions: Agent based models developed in this way facilitate the automation of the design an execution of simulation experiments that allow for the exploration of diverse behavioural mechanisms believed to be responsible for community organisation in ecological communities. This automated way of conducting experiments empowers the study of ecological networks by exploiting the expressive power of interaction models specification in agent systems.

No MeSH data available.


Related in: MedlinePlus

Network representation of the OFLO natural community as introduced in table 1. Host and visitor agents are represented by green and red nodes respectively. The thickness of the arcs represent the relative strength of that interaction relative to other coming from the same host species, while numbers on them indicate the number of times that particular interaction has been observed.
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Figure 10: Network representation of the OFLO natural community as introduced in table 1. Host and visitor agents are represented by green and red nodes respectively. The thickness of the arcs represent the relative strength of that interaction relative to other coming from the same host species, while numbers on them indicate the number of times that particular interaction has been observed.

Mentions: Figures 9 and 10 show the network of relationships between entities in the simulated community number 3 and the OFLO natural community, respectively.


Automated experimentation in ecological networks.

Lurgi M, Robertson D - Autom Exp (2011)

Network representation of the OFLO natural community as introduced in table 1. Host and visitor agents are represented by green and red nodes respectively. The thickness of the arcs represent the relative strength of that interaction relative to other coming from the same host species, while numbers on them indicate the number of times that particular interaction has been observed.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3117761&req=5

Figure 10: Network representation of the OFLO natural community as introduced in table 1. Host and visitor agents are represented by green and red nodes respectively. The thickness of the arcs represent the relative strength of that interaction relative to other coming from the same host species, while numbers on them indicate the number of times that particular interaction has been observed.
Mentions: Figures 9 and 10 show the network of relationships between entities in the simulated community number 3 and the OFLO natural community, respectively.

Bottom Line: Interaction models for agents coordination thus engineered facilitate the emergence of network features such as those found in ecological networks of interacting species, in our artificial societies of agents.Agent based models developed in this way facilitate the automation of the design an execution of simulation experiments that allow for the exploration of diverse behavioural mechanisms believed to be responsible for community organisation in ecological communities.This automated way of conducting experiments empowers the study of ecological networks by exploiting the expressive power of interaction models specification in agent systems.

View Article: PubMed Central - HTML - PubMed

Affiliation: School of Informatics, University of Edinburgh, 10 Crichton Street, Edinburgh, UK. miguel.lurgi@ed.ac.uk.

ABSTRACT

Background: In ecological networks, natural communities are studied from a complex systems perspective by representing interactions among species within them in the form of a graph, which is in turn analysed using mathematical tools. Topological features encountered in complex networks have been proved to provide the systems they represent with interesting attributes such as robustness and stability, which in ecological systems translates into the ability of communities to resist perturbations of different kinds. A focus of research in community ecology is on understanding the mechanisms by which these complex networks of interactions among species in a community arise. We employ an agent-based approach to model ecological processes operating at the species' interaction level for the study of the emergence of organisation in ecological networks.

Results: We have designed protocols of interaction among agents in a multi-agent system based on ecological processes occurring at the interaction level between species in plant-animal mutualistic communities. Interaction models for agents coordination thus engineered facilitate the emergence of network features such as those found in ecological networks of interacting species, in our artificial societies of agents.

Conclusions: Agent based models developed in this way facilitate the automation of the design an execution of simulation experiments that allow for the exploration of diverse behavioural mechanisms believed to be responsible for community organisation in ecological communities. This automated way of conducting experiments empowers the study of ecological networks by exploiting the expressive power of interaction models specification in agent systems.

No MeSH data available.


Related in: MedlinePlus