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Research in dynamical physical agents, consensus of proper physical decisions among physical agents, and an example of passing is shown. The interest is to introduce introspection of the dynamical behavior of each physical body so that every agent has better knowledge. This has to lead to better passes.

Abstract. This paper is a step forward from the agent ecosystems that Hogg studied [6]. We plan to extend these agents ecosystems to physical agents that interact with the physical world. The aim is to conceive algorithms for the choice of resources and to expand this work. Dynamics of choice in such ecosystems depends on pay-off functions that contain information about the real physical world. One contribution here is to formalise the choice of knowledge resources by including a consensus technique. The second contribution is to include diversity by means of physical agents and to analyse the emergent impact in terms of diversity and performance. Simulated soccer robots exemplifies all this.

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