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>Introduction >Background and Method >Demo >Application >Comparison with GA >Artificial Intelligence > References

 

Swarm Behaviour and Artificial Life

I have conducted an experimented with principles of Swarm Intelligence , on teams of ( simulated ) mobile robots . The IBM Robocode simulator was used . Various observations were made , for asynchronous teams of agents using Swarm Intelligence . A slight modification of the definition of 'gbest' and 'pbest' was used for implementation purposes , because in this case there was no precise function of the form f ( x , y , z... ) to be optimized . Rather , we had to analyse the kind of cooperation which developed in the agents . In this case , the robotic agents did not have to move towards an optimum of a certain function , rather , some ideas of swarms were used in determing , in which direction they were to head at any particular intance .

The report is available here : imitatingnature . ( use WordPad -- Rich Text Format )

The bulk of this report deals with experimentation on how ideas from swarm behaviour were used here .

 

>Introduction >Background and Method >Demo >Application >Comparison with GA >Artificial Intelligence > References

 

 

 

 

 

 

 

 

 

>Introduction >Background and Method >Demo >Application >Comparison with GA >Artificial Intelligence > References